The Quantum Leap: Revolutionizing Computing and Its Impact – Medium

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Supercomputers have their limitations. Fortunately, a new technology is emerging. Its the quantum computer, utilizing phenomena at the atomic and subatomic levels. Quantum computer Chalmers [Photo: Anita Fors (Chalmers), CC BY-SA 4.0, via Wikimedia Commons]

Our civilization largely operates today due to computers and the data they process. However, when significant computational power is required, the existing silicon-based technology falls short. Hence, companies like IBM, Google, Microsoft, Alibaba, and a few others are currently working on prototype inventions. This is about quantum computing.

Major companies understand that whoever first masters quantum computations will gain a significant advantage over competitors. Computers based on this technology will be able to swiftly sift through massive amounts of data. They will also enable modeling complex physical or biochemical phenomena.

Quantum computers perform computations not on bits, which can hold values of 0 or 1, but on so-called qubits. These can hold different values simultaneously. Scientists leverage the principles governing the world of elementary particles to create computational machines.

Conventional computers conduct calculations on sequences of bits zeros and ones. Quantum computers employ quantum bits or qubits, which can assume both these values simultaneously this is called superposition. This exponential increase in computational power occurs as a result. Quantum computers can perform operations in one fell swoop that would take classical machines an enormous amount of time. Qubits can be constructed from individual elementary particles like electrons, atoms, or slightly larger entities loops of superconductors through which current flows incessantly.

In the realm of quantum physics, there exists a strange and not entirely understood relationship between elementary particles such as electrons. When we entangle them (for example, by bringing them close together), their fates become closely intertwined. If we then alter the properties of one, the other

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The Quantum Leap: Revolutionizing Computing and Its Impact - Medium

What Quantum Computing Will Mean for the Future Artificial Intelligence – Medium

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Todays artificial intelligence (AI) systems are only as good as the data theyre trained on. The AI industry is currently taking advantage of large datasets to train AI models and make them more useful. However, as these datasets are becoming limited, researchers are exploring other ways to improve AI algorithms. One such way is quantum computing. It is a new frontier of computer science that will enable better AI algorithms shortly.

Atoms make up our world, and they and their constituents have baffling yet interesting properties. For example, electrons have spin and orbit that can be either up. In addition, they can be in any of the infinite discrete energy levels. These properties determine the quantum states of atoms. At a subatomic level, everything exists as quantum states rather than as traditional logical on or off values. This phenomenon gave rise to quantum computing. It has the potential to change how we see artificial intelligence forever.

Quantum computing is an entirely different way of studying the world around us. It does not just focus on the properties of atoms and molecules. It takes a look at the subatomic properties of atoms that are actually in superposition. That is, they exist in multiple states at the same time. This is one of the principles of quantum mechanics that enable subatomic particles to exist as both particles and waves at the same time.

These principles are strange and counterintuitive. According to them, a computing system cannot only store and process data in binary bits, 0s and 1s. Or in more electronic engineering terms, the state of off and on of an electronic switch. It can also store and process data in superposed states of not on or off but the combination thereof. By harnessing these principles, quantum computers can solve complex problems much faster than traditional computers.

Quantum computers are a variety of different supercomputers based on quantum mechanics. These quantum computers use the laws of quantum mechanics to process information. That means they can find patterns in big data that are almost impossible to find with conventional computers. This way, they are fundamentally different from the computers we use today.

When it comes to artificial intelligence, quantum computing can analyze a wider variety of data. At the same time, they can come to better conclusions than computers today. Conventional computers can only process information as either 1s or 0s. Quantum computers can process information in multiple states known as qubits at once. That enables them to analyze a wider variety of data and come to better conclusions than computers can today.

Artificial intelligence has come a long way in the past few years. It has been able to generate realistic 3D images and videos. In addition, it is beginning to embrace quantum computing. That has given rise to quantum AI. Artificial intelligence now leverages quantum computers. And their full integration will be a technological revolution of the century.

There are several benefits of using quantum AI in creative industries. I have already made it clear it can handle large data sets faster and more efficiently than traditional AI technologies. It can also identify patterns that are difficult for regular computers to spot. Furthermore, it can combine and rearrange existing ideas. Hence it can create new ideas in ways that any human cannot imagine possible.

One of the biggest hurdles for artificial intelligence today is training the machine to do something useful. For example, we might have a model that can correctly identify a dog in a photo. But the model will need to be trained with tens of thousands of images for it to recognize the subtle differences between a beagle, a poodle, and a Great Dane. This process is what AI researchers call training. They use it to teach AI algorithms to make predictions in new situations.

Quantum computing can make this training process faster and more accurate. It will allow AI researchers to use more data than they have ever used before. It can process large amounts of data in 1s and 0s and the combination thereof which will enable quantum computers to come to more accurate conclusions than traditional computers. In other words, AI researchers can use larger datasets to train AI models to be more accurate and better at decision-making.

One of the most exciting predictions for quantum computing in artificial intelligence is the potential to break through language barriers. AI models can currently understand one language the language used to train them. so if we need AI to understand a different language, we shall need to teach it from scratch. However, quantum computing can help AI models break through language barriers. It will allow us to train models in one language and translate them into a different language effortlessly.

That will enable AI to understand and interpret different languages simultaneously. What this will do is create a global AI that can speak multiple languages. Another exciting prediction for the future of AI with quantum computing is the potential to build models with more accurate decision-making skills: Quantum computing will allow using larger datasets to train models. Hence AI will be able to make more accurate decisions that will be especially helpful for financial models, which often have a high rate of inaccuracy because of the limited data used to train them.

Artificial intelligence is already improving the performance of quantum computers. This trend will only continue in the future. The following are some reasons why:

The potential of quantum computing is limitless, but its integration into artificial intelligence will produce a technology that will be rather powerful than anything we have today. The new technology will enable machines to learn and self-evolve. It will make them exponentially better at solving complex problems and developing self-learning algorithms that will drive efficiency in sectors such as finance or healthcare.

Quantum AI systems will be able to process large amounts of information quickly and accurately. That will open up a new world of possibilities for businesses and individuals. They will also be able to solve complex problems that are impossible for even the most advanced conventional computer systems.

Nevertheless, we must remember that these technologies are relatively new; we are still discovering new ways to use quantum computing. Therefore, we must be aware of the latest technology to take advantage of new opportunities as they come along.

The rise of quantum computing will change the way we interact with AI in the future. That means we must stay informed so we can prepare for the changes and make the most of this exciting technology.

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What Quantum Computing Will Mean for the Future Artificial Intelligence - Medium

Quantum Leaps Ahead: Anticipating the Hottest Trends in Quantum Computing for 2024 – Medium

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As we stand on the precipice of a new year, the quantum computing landscape is poised for a thrilling transformation. The possibilities seem endless, and the buzz around quantum technologies is reaching fever pitch. Join me in this exhilarating journey as we don our quantum goggles and peer into the quantum crystal ball to anticipate the hottest trends that 2024 has in store for us.

Get ready for jaw-dropping moments as quantum computing showcases its prowess with more compelling demonstrations of quantum advantage. In 2024, were likely to witness practical applications that leave us wide-eyed from optimizations in supply chain management to groundbreaking advances in drug discovery. Its not just theory anymore; quantum is gearing up to show the world what it can truly accomplish.

Hold on to your qubits because the quantum cloud is about to rain innovation! Expect major players to dive headfirst into offering quantum computing as a service. This means that even if you dont have a quantum computer humming in your basement, you can still harness the computational magic of quantum mechanics through the cloud. Accessibility meets quantum its a match made in qubit heaven.

Imagine a world where classical machine learning meets its quantum counterpart. Well, that world is knocking on our digital doorstep. In 2024, quantum machine learning is set to steal the limelight, promising unparalleled speed-ups in processing complex datasets. From optimization problems to AI enhancements, quantum machine learning is the backstage pass to the next generation of computational marvels.

As quantum computers gain more horsepower, they also pose a threat to traditional cryptographic

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Quantum computing gets real. In the race between man and machine | by Feed Forward | Dec, 2023 – Medium

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In the race between man and machine, quantum computing takes a huge leap forward

On September 15th, 2021, the realm of technological innovation took a seismic leap forward as numerous pioneers reported significant progress in the field of quantum computing. Groundbreaking strides have been achieved in this sphere, making for a significant shift in our perception and understanding of both information processing and computational power. This advancement, momentous as it is, implies that computational tasks conventionally viewed as impossible or prohibitively lengthy are now entering the realm of the tangible; additionally, these quantum entities appear to surpass traditional binary supercomputers in several areas. Now that you know the dry facts, lets dip our toes into the effervescent sea of commentary and get the real scoop on why this techno-event is sending shock waves through the silicon and opening up a new world, not of magic, but of hubba-bubba bubble quantum realities.

Jumpstart those neurons and buckle up! Were about to delve into the fantastic, befuddling, and downright science-fiction-esque world of quantum computing. If you thought your computer was a nifty piece of tech, brace yourself. Quantum computing, quite simply, is like The Matrix met Tron on steroids!

Cracking the code of quantum computing involves diving straight into the depths of the extraordinary quantum realm. In laymans terms, its computing tech thats based on the principles of quantum theory. Remember Schrdingers famed cat? That poor creature thats simultaneously alive and dead until we decide to peek. Well, imagine those cats being your computer bits, in superpositions of both 0s and 1s. Yep, welcome to the future.

Its not all came out of thin air, not by a long shot. Its because of mega brains like mathematician Peter Shor and physicist David Deutsch that we have had such elliptical notions turn foundational stones for this tech revolution.

Oh, the progress weve seen over the years! Its gone from an abstract theory, to multiple working models. And the size difference? Were talking Hulks magnificent transformation, except reverse. The bulky knock-offs have made way to streamlined, chic versions we see showcased today. Notable achievements? Oh, how about Googles landmark quantum supremacy claim?

As we stand at the precipice of quantum reality, todays applications of quantum computers can give sci-fi scenarios a run for their money. From creating rich, complex models of the real-world systems to uncrackable codes quantum computing is making waves. As for industries, were talking revolution in sectors like pharmaceutics, weather prediction, finance, and more. If youre skeptical, remember: Its all in the Matrix!

Of course, every venture has its share of thorny patches. As I always say Hold on to your hats, its not all quantum rainbows and tech butterflies. Admittedly, quantum computing is not immune to challenges and there are controversies surrounding error rates and operational difficulties. But hey, no pain no gain, right?

Peering into the quantum future might just feel like staring into a time vortex. Are we moving towards a quantum invasion? Maybe, maybe not. But aptly summed up by a famous scientist, Prediction is very difficult, especially if its about the future. Aint that the truth!

So, from our existential cat friend Schrodingers controversial pet to Quantum Avengers, the quantum leap is indeed real. The question is, what part will you play in this quantum saga? Think it over while I sign off with, May the qubits be ever in your favour! Now, keep calm and compute quantumly!

So, youve reached the end of this riveting quantum computing journey and youre thirsty for more? Dont fret, weve got you covered, faster than you can say Schrdingers Cat! Here are some additional resources to keep you quantum-leaping forward in your understanding of this mind-boggling field:

1. Quantum Computing for the very curious

https://www.quantum.country/qcvc

A super engaging, interactive introduction to quantum computing. Great for beginners, but fascinating for experts too!

2. The Nature of Quantum Computing

https://www.nature.com/subjects/quantum-computing

An in-depth resource for those eager to dive into the rabbit hole of research articles and scientific papers.

3. 10 Things To Know About Quantum Computing

https://www.forbes.com/sites/bernardmarr/2018/09/06/10-things-to-know-about-quantum-computing/

Just like it sounds, this Forbes article provides a quick rundown of 10 key facts. Who doesnt love a good ol listicle?

4. Quantum Computing Explained

https://www.ibm.com/cloud/learn/quantum-computing

IBMs page offers an easy to grasp breakdown of quantum computing. Dont get me wrong, this still isnt kindergarten stuff!

Scour through these resources, and youll be talking qubits, superpositions, and quantum entanglement like a bonafide quantum physicist (or at least like you belong in a Star Trek episode). Remember, in the words of Douglas Adams, I may not have gone where I intended to go, but I think I have ended up where I needed to be. Good luck on your quantum quest!

And now, dear esteemed cybernauts, for the part youve all been steadfastly scrolling for the flamboyant flourish finale, the cherry on the cake of tech wisdom, the disclaimer! Brace yourselves for a twist so outrageous, you might mistake it for a trendsetting sci-fi movie plot.

Prepare to be as stunned as if youve accidentally mixed up your VR goggles with your 3D movie glasses: portions of this tasty tech-blog morsel were tastefully composed with the help of Artificial Intelligence. Yes, you heard that right the same kind of tech thats so hot right now, it makes quantum physics seem like a rubber duck in a science sink!

Why, you ask? Well, because AI is cooler than a polar bears toenails and its very much here to stay. Besides, lets face it, these machine learning maestros are way better at writing than us, humble humans, who still rely on pulsating grey blobs ensconced within our craniums to cobble together clunky sentences.

So there you have it, my dear digital denizens, our blogs virtual secret sauce. Remember, Resistance is futile. (Anyone else catch that cheeky Star Trek reference?). But dont worry, a robot rebellion isnt on the cards just yet. Only high-class tech content and the odd laugh here and there!

Remember: Todays science fiction is tomorrows science fact. Long live AI the guardian angel of this blog post and, soon enough, a whole lot more!

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Quantum computing gets real. In the race between man and machine | by Feed Forward | Dec, 2023 - Medium

Fujitsu and Consortium Develop Advanced 64-Qubit Quantum Computer at Osaka University – HPCwire

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TOKYO and OSAKA, Japan, Dec. 20, 2023 A consortium of joint research partners including the Center for Quantum Information and Quantum Biology at Osaka University, RIKEN, the Advanced Semiconductor Research Center at the National Institute of Advanced Industrial Science and Technology (AIST), the Superconducting ICT Laboratory at the National Institute of Information and Communications Technology (NICT), Amazon Web Services, e-trees.Japan, Inc., Fujitsu Limited, NTT Corporation (NTT), QuEL, Inc., QunaSys Inc., and Systems Engineering Consultants Co.,LTD. (SEC) today announced the successful development of Japans third superconducting quantum computer installed at Osaka University.

Starting December 22, 2023, the partners will provide users in Japan access to the newly developed computer via the cloud, enabling researchers to execute quantum algorithms, improve and verify the operation of software, and explore use cases remotely.

The newly developed superconducting quantum computer uses a 64 qubit chip provided by RIKEN, which leverages the same design as the chip in RIKENs first superconducting quantum computer, which was unveiled to users in Japan as a cloud service for non-commercial use on March 27, 2023.

For the new quantum computer, the research team sourced more domestically manufactured components (excluding the refrigerator). The research team confirmed that the new quantum computer, including its components, provides sufficient performance and will utilize the computer as a test bed for components made in Japan.

Moving forward, the research group will operate the new computer while improving its software and other systems for usage including the processing of heavy workloads on the cloud. The research team anticipates that the computer will drive further progress in the fields of machine learning and the development of practical quantum algorithms, enable the exploration of new use cases in material development and drug discovery, and contribute to the solution of optimization problems to mitigate environmental impact.

The joint research group is comprised of: Dr. Masahiro Kitagawa, (Professor, Graduate School of Engineering Science, Director of the Center for Quantum Information and Quantum Biology at Osaka University), Dr. Makoto Negoro (Associate Professor, Vice Director of the Center for Quantum Information and Quantum Biology at Osaka University), Dr. Yasunobu Nakamura (Director of the RIKEN Center for Quantum Computing (RQC)), Dr. Katsuya Kikuchi (Group Leader of the 3D Integration System Group of the Device Technology Research Institute at AIST), Dr. Hirotaka Terai (Executive Researcher at the Superconductive ICT Device Laboratory at the Kobe Frontier Research Center of the Advanced ICT Research Institute of NICT), Dr. Yoshitaka Haribara (Senior Startup Machine Learning and Quantum Solutions Architect, Amazon Web Services), Dr. Takefumi Miyoshi(Director of e-trees.Japan, Inc., Specially Appointed Associate Professor, Center for Quantum Information and Quantum Biology at Osaka University, CTO of QuEL, Inc.), Dr. Shintaro Sato (Head of Quantum Laboratory, Fujitsu Research, Fujitsu Limited), Dr. Yuuki Tokunaga (Distinguished Researcher at NTT Computer & Data Science Laboratories), Yosuke Ito (CEO of QuEL, Inc.), Keita Kanno (CTO of QunaSys Inc.), and Ryo Uchida (Chief Technologist of Systems Engineering Consultants Co.,LTD. (SEC)).

About Center for Quantum Information and Quantum Biology at Osaka University

Center for Quantum Information and Quantum Biology consists of six research groups: Quantum Computing, Quantum Information Fusion, Quantum Information Devices, Quantum Communications and Security, Quantum Measurement and Sensing, and Quantum Biology, promoting researches in each field and transdisciplinary research among these fields as well as other academic fields. The center, as an international research hub for quantum innovations, promotes international academic exchanges and takes a key role in human resources development to social implementation. For more information, visit https://qiqb.osaka-u.ac.jp/en.

About Fujitsu

Fujitsus purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.7 trillion yen (US$28 billion) for the fiscal year ended March 31, 2023 and remains the top digital services company in Japan by market share. Find out more: http://www.fujitsu.com.

Source: Fujitsu

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Fujitsu and Consortium Develop Advanced 64-Qubit Quantum Computer at Osaka University - HPCwire

Anticipating the Next Technological Revolution: Trends and Insights – Medium

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3 min read

In the ever-evolving landscape of technology, anticipating the next revolution is both a challenge and an exciting prospect. As we navigate the currents of innovation, identifying emerging trends provides valuable insights into the transformative technologies that will shape our future. This article explores the trends and insights that herald the arrival of the next technological revolution.

Problem:

The pace of technological change can be overwhelming, and industries must adapt to stay relevant. Disruptions caused by unforeseen technological shifts can catch businesses off guard, leading to obsolescence. The challenge lies in deciphering the signals of change and understanding how these trends will impact various sectors.

Solution:

AI and ML continue to dominate the technological landscape, promising transformative changes across industries. From autonomous vehicles to personalized healthcare, the integration of AI is reshaping how we live and work. Insights derived from massive datasets enable more informed decision-making and open new frontiers for innovation.

The rollout of 5G technology represents a quantum leap in connectivity. With faster speeds and lower latency, 5G is set to revolutionize communication, enabling the Internet of Things (IoT), augmented reality, and immersive experiences. Industries, from healthcare to manufacturing, will benefit from the unprecedented connectivity that 5G brings.

Quantum computing is on the cusp of a breakthrough that will redefine computational power. With the ability to process complex calculations at speeds unimaginable with classical computers, quantum computing holds promise for solving previously unsolvable problems in fields like cryptography, drug discovery, and optimization.

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Quantum Encryption: Revolutionizing Cybersecurity in the Quantum Age | by Ashish Wilson | Dec, 2023 – Medium

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In a world increasingly dependent on digital communication and data exchange, the need for robust cybersecurity measures has never been more critical. Traditional encryption methods, while effective, face growing challenges from the rapid advancements in quantum computing. Enter quantum encryption, a cutting-edge technology poised to revolutionize cybersecurity as we know it.

Quantum encryption leverages the principles of quantum mechanics to secure communication channels against potential threats posed by quantum computers. Unlike classical encryption methods that rely on complex mathematical algorithms, quantum encryption uses the unique properties of quantum particles to ensure unparalleled security.

1. **Quantum Key Distribution (QKD):**

At the heart of quantum encryption is Quantum Key Distribution (QKD), a game-changing technique that enables the secure exchange of cryptographic keys between parties. Unlike classical key distribution methods, QKD employs the quantum properties of particles such as photons to detect any unauthorized interception instantly.

2. **Unbreakable Security:**

One of the most significant advantages of quantum encryption is its resistance to brute-force attacks, a vulnerability that classical encryption methods currently face. Quantum encryption promises unbreakable security by exploiting the fundamental principles of quantum mechanics, making it practically impossible for hackers to decipher encoded information.

As the cyber threat landscape continues to evolve, the integration of quantum encryption brings about several positive impacts on cybersecurity:

1. **Future-Proofing Against Quantum Computing Threats:**

Quantum computers, with their immense processing power, pose a potential threat to traditional encryption algorithms. Quantum encryption, however, is designed to withstand the computational capabilities of quantum computers, future-proofing sensitive data against emerging threats.

2. **Enhanced Data Integrity:**

Quantum encryption not only secures data transmission but also ensures data integrity. The quantum properties of particles used in encryption make it possible to detect any attempts at tampering with the transmitted information, providing an additional layer of protection.

3. **Global Secure Communication Networks:**

The implementation of quantum encryption paves the way for the establishment of global secure communication networks. Governments, enterprises, and individuals can exchange information with unprecedented confidence, knowing that their data is shielded by the impenetrable cloak of quantum security.

As we stand on the brink of the quantum era, the integration of quantum encryption marks a pivotal moment in the evolution of cybersecurity. The unbreakable security offered by quantum encryption, coupled with its ability to future-proof against quantum computing threats, positions it as the guardian of our digital future. Embracing this revolutionary technology will undoubtedly reshape the landscape of cybersecurity, ensuring a more secure and resilient digital world for generations to come.

#SEO-Optimized Keywords: Quantum encryption, Quantum key distribution, Cybersecurity in the quantum age, Unbreakable security, Quantum computing threats, Data integrity in quantum encryption, Global secure communication networks, Future-proofing data with quantum encryption

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Quantum Encryption: Revolutionizing Cybersecurity in the Quantum Age | by Ashish Wilson | Dec, 2023 - Medium

Year of covers: Tech and sport, quantum advances and Gen AI – Technology Magazine

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From groundbreaking breakthroughs in AI and quantum computing to the continued evolution of augmented and virtual reality, 2023 has witnessed a surge of innovation that is poised to revolutionise our world.

AI continues to evolve at an astonishing pace, with advancements in natural language processing (NLP) enabling more natural and intuitive human-computer interactions. Computer vision, another key AI domain, has made strides in image and video analysis, leading to improved object detection, facial recognition, and medical imaging capabilities. AI is also making significant contributions in drug discovery, medical diagnosis, and self-driving car development, further demonstrating its transformative potential.

The immersive worlds of augmented reality (AR) and virtual reality (VR) have taken significant steps forward, blurring the lines between the physical and digital realms. AR applications are becoming increasingly prevalent in gaming, education, and training, enhancing real-world experiences with digital overlays. VR, meanwhile, is gaining momentum in entertainment, healthcare, and remote collaboration, offering users immersive and interactive experiences.

Quantum computing, still in its early stages, holds immense promise for solving problems that are intractable for classical computers. Researchers are making progress in building and optimizing quantum computers, paving the way for breakthroughs in fields like materials science, drug discovery and AI.

All of these topics and more have featured in our magazine over the past 12 months, and the trends we have witnessed are likely to accelerate in the years to come. As 2023 comes to a close, join us for a review of Technology Magazine's covers from 2023.

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Year of covers: Tech and sport, quantum advances and Gen AI - Technology Magazine

The Biggest Discoveries in Computer Science in 2023 – Quanta Magazine

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In 2023, artificial intelligence dominated popular culture showing up in everything from internet memes to Senate hearings. Large language models such as those behind ChatGPT fueled a lot of this excitement, even as researchers still struggled to pry open the black box that describes their inner workings. Image generation systems also routinely impressed and unsettled us with their artistic abilities, yet these were explicitly founded on concepts borrowed from physics.

The year brought many other advances in computer science. Researchers made subtle but important progress on one of the oldest problems in the field, a question about the nature of hard problems referred to as P versus NP. In August, my colleague Ben Brubaker explored this seminal problem and the attempts of computational complexity theorists to answer the question: Why is it hard (in a precise, quantitative sense) to understand what makes hard problems hard? It hasnt been an easy journey the path is littered with false turns and roadblocks, and it loops back on itself again and again, Brubaker wrote. Yet for meta-complexity researchers, that journey into an uncharted landscape is its own reward.

The year was also full of more discrete but still important pieces of individual progress. Shors algorithm, the long-promised killer app of quantum computing, got its first significant upgrade after nearly 30 years. Researchers finally learned how to find the shortest route through a general type of network nearly as fast as theoretically possible. And cryptographers, forging an unexpected connection to AI, showed how machine learning models and machine-generated content must also contend with hidden vulnerabilities and messages.

Some problems, it seems, are still beyond our ability to solve for now.

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The Biggest Discoveries in Computer Science in 2023 - Quanta Magazine

Quantum AI Brings the Power of Quantum Computing to the Public – GlobeNewswire

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Luton, Dec. 20, 2023 (GLOBE NEWSWIRE) -- Quantum AI is set to bring the power of quantum computing to the public and has already reached a stunning quantum volume (QV) score of 14,082 in a year since its inception.

Quantum AI Ltd. was conceived by Finlay and Qaiser Sajjad during their time as students at MIT. They were inspired by the exclusive use of new-age technology by the elites on Wall Street. Recognising the transformative power of this technology, they were determined to make its potential accessible to all. Thus, the platform was born, and it has evolved and flourished in just a short time.

Quantum AI

Often, everyday traders have limited access to such advanced tools.

We are fueled by the belief that the power of quantum computing should not be confined to the financial giants but should be available to empower amateur traders as well, asserted the founders of the platform. Since its launch in 2022, they have worked to achieve this vision and have become a significant force in the industry.

The platform combines the power of the technology with the strength of artificial intelligence. By using these latest technologies, including machine learning, algorithms that are more than just lines of code have been created. They harness the potential of quantum mechanics and deep learning to analyse live data in unique ways.

Our quantum system leverages quantum superposition and coherence, providing a quantum advantage through sophisticated simulation and annealing techniques, added the founders.

Quantum AI has shown exceptional results in a brief period. It has received overwhelmingly positive reviews from customers, highlighting the enhanced speed and accuracy of trading. The transformative and groundbreaking impact the platform has had on trading is evident in its growth to 330,000 active members. Notably, it has nearly 898 million lines of code and an impressive quantum value score of 14,082. The performance on this benchmark that IBM established is a massive testament to the impact quantum AI has had in a short span of time.

According to the founders, they have bigger plans on the horizon to take the power of the technology to the public. Quantum AI is growing its team of experts and expanding its operations in Australia and Canada. Its goal of democratising the power of technology is well on its way to being realised. With trading being the first thing they cracked to pay the bills the main focus has turned to aviation, haulage and even e-commerce. The power of

To learn more about the platform and understand the transformative power of the technology for traders, one can visit https://quantumai.co/.

About Quantum AI

With the aim of democratising the power and potential of quantum computing, the company was founded by Finlay and Qaiser Sajjad during their time at MIT. Since its establishment, it has grown to over 330,000 active members and 18 full-time employees, alongside winning the trust of its customers.

###

Media Contact

Quantum AI PR Manager: Nadia El-Masri Email: nadia.el.masri@quantumai.co Address: Quantum AI Ltd, 35 John Street, Luton, United Kingdom, LU1 2JE Phone: +442035970878 URL: https://quantumai.co/

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Quantum AI Brings the Power of Quantum Computing to the Public - GlobeNewswire

AiThority Interview with Dr. Alan Baratz, CEO at D-Wave – AiThority

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Hi, welcome to the AiThority Interview Series. Please tell us a bit about yourself and what is D-Wave.

I am Dr. Alan Baratz, President and CEO of D-Wave (NYSE: QBTS).

D-Wave is a leader in quantum computing technology and the worlds first commercial supplier of quantum computers. Our technology has been used by some of the worlds most advanced organizations, including Volkswagen, Mastercard, Deloitte, Siemens Healthineers, Pattison Food Group Ltd, DENSO, Lockheed Martin, the University of Southern California, and Los Alamos National Laboratory.

The global quantum computing market is rapidly growing and some market analysts project it will reach upwards of 6 billion + by the end of this decade. As 2023 closes, it would be interesting to see how quantum computing influences 2024. The future of quantum computing would largely relate to a rapid government adoption, the future of work, and quantum supremacy.

With economists projecting a shallow recession in 2024, organizations will seek new technologies, such as quantum computing, to navigate adversity and bolster business resilience. Quantum technologies can accelerate problem-solving and decision-making for a wide range of common organizational processes, such as supply chain management, manufacturing efficiency, logistical planning, and employee scheduling. Amidst a challenging economic environment, quantums ability to fuel operational efficiencies is critical.

The industry will achieve a proven, defensible quantum supremacy result in 2024. Ongoing scientific and technical advancements indicate that we are far from achieving quantum supremacy. 2024 will be the year where quantum definitively outperforms classical, full stop. There will be clear evidence of quantums ability to solve a complex computational problem previously unsolvable by classical computing, and quantum will solve it faster, better, and with less power consumption.

The breakthrough weve all been pursuing is coming.

The US governments usage of annealing quantum computing will explode given the anticipated passing of legislation including the National Quantum Initiative and the National Defense Authorization Act. 2024 will see a rapid uptick in the quantum sandbox and test bed programs with directives to use all types of quantum technology, including annealing, hybrid, and gate models. These programs will focus on near-term application development to solve real-world public sector problems, from public vehicle routing to electric grid resilience.

The global quantum race will continue to heat up, as the U.S. and its allies aggressively push for near-term application development. While the U.S. is now starting to accelerate near-term applications, other governments like Australia, Japan, the U.K., and the E.U. have been making expedited moves to bring quantum in to solve public sector challenges. This effort will greatly expand in 2024.

Top public sector areas of focus will likely be sustainability, transportation and logistics, supply chain, and health care.

Quantum computing will show proven value and utility in daily business operations through in-production applications.

As we close 2023, companies are beginning to go into production with quantum-hybrid applications, so its no stretch of the imagination to see corporations using quantum solutions daily for ubiquitous business challenges such as employee scheduling, vehicle routing, and supply chain optimization. In time, it will become a part of every modern IT infrastructure, starting with the integration of annealing quantum computing.

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AiThority Interview with Dr. Alan Baratz, CEO at D-Wave - AiThority

IBM’s Quantum Processor and Modular Computer Are Now in Operation – TechRepublic

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The IBM Quantum System Two with IBM Quantum Heron processors is designed to push quantum-centric supercomputing forward.

A new quantum processor, a modular quantum computer and more were unveiled at the IBM Quantum Summit, held in New York on Dec. 4. This hardware is part of IBMs effort toward large-scale quantum computing for scientific research.

In addition, IBM announced Qiskit 1.0, which is the stable release of the open source programming software development kit for quantum circuits.

While quantum computing is often experimental and used in academic settings, it can be used in the enterprise when organizations need to solve mathematical problems too complex for classical computing, such as creating new chemical combinations in materials engineering or pharmaceuticals. Quantum key distribution and quantum cryptography can be used in cybersecurity.

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IBM Quantum Heron (Figure A) is a 133-qubit quantum processor available today via the cloud. It is the successor to IBM Quantum Eagle, which came out in 2021 and established 3D packaging techniques that laid the groundwork for the companys subsequent quantum processors.

Figure A

Fundamentally, Heron looks a lot like Eagle its the same type of qubits, the same fabrication and the same packaging technology; so most of Eagle has carried straight across; its really some details of the on-chip circuitry and our controls that have changed, said Oliver Dial, CTO at IBM Quantum, in an email to TechRepublic. One of the key breakthroughs from Eagle was the development of multi-level wiring, with the qubits sitting on a single plane, to provide flexibility for signal routing and device layout.

IBM Quantum Heron includes advances in qubit fabrication and laminate size and a five-fold improvement in error reduction compared to IBM Quantum Eagle.

We are firmly within the era in which quantum computers are being used as a tool to explore new frontiers of science, said IBM SVP and Director of Research Dario Gil in a press release.

Specifically, IBM quantum processors are being used in scientific settings to simulate chemistry, physics and materials problems. The long-term goal is to expand these experiments to what IBM calls utility scale in essence, to solve practical, widespread problems.

In this context, utility-scale means a processor with 100+ qubits, which allows the user to run calculations that are too big to be simulated on a classical computer, Dial said. Its the combination of this scale and error-mitigation techniques that will allow users to derive real value from a quantum computer hence utility. Now that weve achieved utility-scale, were seeing people using quantum computing as a scientific tool.

I like to say users are using quantum computing to do quantum computing, Gambetta wrote in a blog post on Dec. 4.

WATCH: Explore quantum computing myths and realities in this TechRepublic video

These institutions work with IBM to demonstrate research exploring large-scale quantum computing:

IBM Quantum System Two (Figure B) is the system behind IBMs current quantum computing system architecture. IBM Quantum System Two combines classical and quantum computing, with a middleware layer in between to integrate the two. Scalable cryogenic infrastructure works alongside classical runtime servers with modular qubit control electronics.

IBM Quantum System Two is remarkable because its the first modular quantum computer built for utility-scale problems, IBM said. IBM expects it to be upgradeable over time, with the goal of running 1 billion operations in a single quantum circuit by 2033. Thats an extraordinary amount of supercomputing resources for a wide variety of scientific and upcoming business operations.

Figure B

Currently, IBM Quantum System Two runs three IBM Quantum Heron processors. It began operating recently at an IBM facility in Yorktown Heights, NY.

Qiskit 1.0, the stable release of IBMs quantum computing software development kit, will be available in February 2024. (IBM first made Qiskit available in 2017.) Qiskit 1.0 is built around the idea of Patterns, IBMs programming template for making quantum computing more accessible by translating classical inputs to quantum problems. Patterns are meant to be run on IBMs Quantum Serverless computing infrastructure.

Generative AI for quantum code programming in Qiskit will be available through IBMs enterprise AI platform watsonx. IBM revealed Qiskit Code Assistant, a generative AI assistant bot made to help users navigate Qiskit and IBM Quantum Platform. Qiskit Code Assistant is coming in alpha in early 2024 for premium subscribers of the IBM Quantum Platform.

Generative AI and quantum computing are both reaching an inflection point, presenting us with the opportunity to use the trusted foundation model framework of watsonx to simplify how quantum algorithms can be built for utility-scale exploration, said Jay Gambetta, vice president and IBM fellow at IBM, in a press release.

Plus, IBM announced:

IBM unveiled an expanded roadmap that will shape its work on developing quantum computing. IBM Quantum System Two is part of the plan as the home of IBMs upcoming quantum processors.

According to the roadmap, 2023 was the year of IBM adding generative AI and speeding up quantum processing by five times with quantum serverless and Execution modes. IBM plans to focus 2024 on improving quantum circuit quality and speed to allow 5,000 quantum logic gates with parametric circuits. (A quantum logic gate is a building block of quantum computing, operating on qubits instead of conventional bits.) IBM Quantum Heron and resource management are on the schedule for 2024.

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IBM's Quantum Processor and Modular Computer Are Now in Operation - TechRepublic

Quantum Computing in Everyday Life: The Future is Here – Medium

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Lately I am reading about everything Quantum. I am using Obsidian.md to keep track of all knowledge gathered even from books. I havent set a time goal, am just reading and learning at my pace. So the following article is some preliminary thoughts on the matter of Quantum Computing.

Quantum computing is a revolutionary technology that has the potential to change the way we live and work. In this article, we will explore how quantum computing could impact various aspects of our everyday lives and the challenges it presents.

Quantum computing could lead to smarter phones, computers, and other devices that are significantly faster and more efficient than current models. This technology could enable better performance and data processing, improving our overall user experience.

Quantum computing could revolutionize healthcare by enabling faster drug discovery, disease diagnosis, and personalized treatment plans. It could also help in understanding complex biological systems and developing new therapies for various diseases.

Quantum computing could help in predicting weather patterns and climate changes, enabling us to reduce the risk of natural disasters and plan for sustainable development.

This technology could lead to more accurate and reliable weather forecasts, ultimately improving our ability to prepare for and adapt to climate change.

As classical encryption schemes could be broken by quantum computers, the development of quantum-safe cryptographic methods is essential for maintaining the security of our digital communications. This technology could help protect sensitive data and ensure the privacy of our digital transactions.

Quantum computing could enable the discovery of new materials with unique properties, leading to advancements in various industries, such as aerospace, electronics, and healthcare. This technology could help scientists simulate and analyze the behavior of complex molecules and materials at the quantum level, ultimately enabling the discovery of new materials with novel properties.

While quantum computing holds great promise, it also presents challenges and potential risks. As the technology continues to evolve, it is essential to stay informed about its progress and implications for our lives and society.In conclusion, quantum computing is a promising technology with the potential to change various aspects of our everyday lives. As research and development continue, we can expect to see more exciting advancements and applications in the near future.

By staying informed and engaged with the latest quantum computing developments, we can better understand and harness the power of this revolutionary technology.

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Quantum supercomputing: IBM plots roadmap beyond Condor – ComputerWeekly.com

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IBM has bolstered its supercomputing capabilities with the latest iteration of the companys quantum computer, Quantum System Two. Its the companys first modular quantum computer, and represents the cornerstone of IBMs quantum-centric supercomputing architecture.

The first IBM Quantum System Two, located in Yorktown Heights, New York, has begun operations with three IBM Heron processors and supporting control electronics.

We are firmly within the era in which quantum computers are being used as a tool to explore new frontiers of science, said Dario Gil, IBM senior vice-president and director of research. As we continue to advance how quantum systems can scale and deliver value through modular architectures, we will further increase the quality of a utility-scale quantum technology stack and put it into the hands of our users and partners, who will push the boundaries of more complex problems.

Following the companys quantum computing roadmap, IBM also unveiled Condor, a 1,121 superconducting qubit quantum processor based on what IBM calls cross-resonance gate technology.

According to IBM, Condor offers a 50% increase in qubit density and advances in qubit fabrication and laminate size, as well as over a mile of high-density cryogenic flex input/output wiring within a single dilution refrigerator. The new design is said to solve scale, and will be used to inform IBM on future hardware design.

Along with the new hardware, IBM unveiled an extension of its IBM Quantum Development Roadmap to 2033, where it plans to significantly advance the quality of gate operations. If it achieves its roadmap objectives, IBM said it will be able to increase the size of quantum circuits that can be run, which paves the way to realising the full potential of quantum computing at scale.

In a blog post giving an update on IBMs quantum computing plans, Jay Gambetta, vice-president of IBM Quantum, discussed experiments that demonstrate how quantum computers could run circuits beyond the reach of brute-force classical simulations. Quantum is now a computational tool, and what makes me most excited is that we can start to advance science in fields beyond quantum computing itself, he said.

But in the computational architecture Gambetta described, quantum technology will not run standalone. From these large-scale experiments, it has become clear that we must go beyond the traditional circuit model and take advantage of parallelism, concurrent classical computing and dynamic circuits, he said.

We have ample evidence that, with tools such as circuit knitting, we can enhance the reach of quantum computation, and new quantum algorithms are emerging that make use of multiple quantum circuits, potentially in parallel and with concurrent classical operations, said Gambetta. Its clear that a heterogeneous computing architecture consisting of scalable and parallel circuit execution and advanced classical computation is required.

This, he said, is IBMs vision for future high-performance systems, which he described as quantum-centric supercomputing.

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IBM advances Quantum Computing ambitions with generative AI power for software development – VentureBeat

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Quantum computing is taking another quantum leap forward today with new processor, system and software updates announced at the IBM Quantum 2023 Summit.

The star of the announcements is the IBM Quantum Heron processor, seen below in an image provided to VentureBeat by IBM.

With 133 qubits, IBM claims that Heron is its highest-performing quantum processor to date, offering significant improvements in qubit quality and error rates compared to previous IBM quantum chips. Previously the IBM Quantum Eagle was the most powerful active system with a demonstrated power of 127 qubits. The qubit is a defining metric of quantum computing and a bigger number translates to more performance.

Going a step further, IBM announced that it is now developing an even more powerful chip known as Condor that will have 1,121 superconducting qubits on a single chip

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Along with the Quantum Heron, IBM announced that its Quantum System Two architecture, which is powered by three IBM Quantum Heron processors has begun operations. The first IBM Quantum System Two machine is installed at IBMs quantum computing hub in Yorktown Heights, New York.

To help researchers and enterprises alike benefit from the power of Quantum systems, IBM also detailed innovations to its Qiskit quantum programming software that will benefit from the power of generative AI.

The full power of using quantum computing will be powered by generative AI to simplify the developer experience, Jay Gambetta, VP at IBM Quantum explained during a briefing with press and analysts.

Programming a quantum system requires different software than a classical computing system. Thats where the IBM Qiskit programming framework comes into play.

At the IBM Quantum Summit 2023, the company detailed features in Qiskit 1.0, which is set to become available in early 2024. Gambetta explained during the briefing that part of the 1.0 release is the concept of Qiskit patterns. He noted that its not practical for developers to have quantum circuit knowledge to be able to do work.

Weve come up with a simple strategy or framework to develop an algorithm, it consists of a way of mapping a problem to quantum circuits and operators, Gambetta said.

Qiskit patterns will also optimize the problems for quantum execution and run them on a system like the IBM Quantum System Two, providing processing results with a simple output. To simplify the process even further, IBM will also be taking generative AI tools from the companys Watsonx portfolio to enable simple language commands to generate a quantum circuit. Watsonx provides a foundation and large language models (LLM) to help solve different use cases, including application development. IBM is already using Watsonx to help modernize the COBOL programming language on mainframes for the modern era.

In response to a question from VentureBeat, Gambetta explained that IBM is using the same Watsonx granite foundation models it has been building out this year for other use cases, for the Qiskit quantum use case.

This is one of the exciting things about what the team has done with Watsonx, its actually the same model, now you can fine-tune it based on Qiskit, Gambetta said.

AI is also being used by IBM to improve the optimization of quantum circuits. Gambetta added that moving forward he expects to see AI coming to quantum to improve how quantum works.

Quantum computing is often thought of as being just about very advanced research use cases. According to Gambetta, quantum computing also has a place in enterprises as well.

We already have many enterprises working with us today, he said. In my opinion, were in the most exciting time of technology where research and commercialization is closer than ever.

Gambetta said that today IBM has more than 160 client industry clients that have been either working with IBM or its partnerson enterprise experiments. While there is lots of activity, its still very much a work in progress.

Im not gonna sit here and say they got a return on investment yet, but theyre actually starting to transition from just being quantum ready, to actually doing use case prototypes, Gambetta said.

He noted that one of the demonstrations that is being shown at the IBM Quantum Summit this year is Hyundai running a very large optimization problem. The challenge that IBM is working on is discovering the algorithms that are needed to advance different use cases as well as improving the performance of quantum hardware and software.

Were committed to making these discoveries possible, but like it takes work, Gambetta said.

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Beyond Binary: The Convergence of Quantum Computing, DNA Data Storage, and AI – Medium

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Exploring the convergence of quantum computing, DNA data storage, and AI how these technologies could revolutionize computing power, memory, and information handling if challenges around implementation and ethics are overcome.

Check out these two books for a deeper dive and to stay ahead of the curve.

Computing technology has advanced in leaps and bounds since the early days of Charles Babbages Analytical Engine in the 1800s. The creation of the first programmable computer in the 1940s ushered in a digital revolution that has profoundly impacted communication, commerce, and scientific research. But the binary logic that underlies modern computing is nearing its limits. Exploring new frontiers in processing power, data storage, and information handling will enable us to tackle increasingly complex challenges.

The basic unit of binary computing is the bit either a 0 or 1. These bits can be manipulated using simple logic gates like AND, OR, and NOT. Combined together, these gates can perform any logical or mathematical operation. This binary code underpins everything from representing the notes in a musical composition to the pixels in a digital photograph. However, maintaining and expanding todays vast computational infrastructure requires massive amounts of energy and resources. And binary systems struggle to efficiently solve exponentially complex problems like modeling protein folding.

In the quest to surpass the boundaries of binary computing, quantum computing emerges as a groundbreaking solution. It leverages the enigmatic and powerful principles of quantum mechanics, fundamentally different from the classical world we experience daily.

Quantum Mechanics: The Core of Quantum Computing

Quantum computing is rooted in quantum mechanics, the physics of the very small. At this scale, particles like electrons and photons behave in ways that can seem almost magical. Two key properties leveraged in quantum computing are superposition and entanglement.

Superposition allows a quantum bit, or qubit, to exist in multiple states (0 and 1) simultaneously, unlike a binary bit which is either 0 or 1. This means a quantum computer can process a vast array of possibilities at once.

Entanglement is a phenomenon where qubits become interlinked in such a way that the state of one (whether its a 0, a 1, or both) can depend on the state of another, regardless of the distance between them. This allows for incredibly fast information processing and transfer.

Exponential Growth in Processing Power

A quantum computer with multiple qubits can perform many calculations at once. For example, 50 qubits can simultaneously exist in over a quadrillion possible states. This exponential growth in processing power could tackle problems that are currently unsolvable by conventional computers, such as simulating large molecules for drug discovery or optimizing complex systems like large-scale logistics.

Revolutionizing Fields: Cryptography and Beyond

Quantum computing holds the potential to revolutionize numerous fields. In cryptography, it could render current encryption methods obsolete, as algorithms like Shors could theoretically break them in mere seconds. This presents both a risk and an opportunity, prompting a new era of quantum-safe cryptography.

Beyond cryptography, quantum computing could advance materials science by accurately simulating molecular structures, aid in climate modeling by analyzing vast environmental data sets, and revolutionize financial modeling through complex optimization.

Key Quantum Algorithms

Research in quantum computing has already produced notable algorithms. Shors algorithm, for instance, can factor large numbers incredibly fast, a task thats time-consuming for classical computers. Grovers algorithm, on the other hand, can rapidly search unsorted databases, demonstrating a quadratic speedup over traditional methods.

The Road Ahead: Challenges and Promises

Despite its potential, quantum computing is still in its infancy. One of the major challenges is maintaining the stability of qubits. Known as quantum decoherence, this instability currently limits the practical use of quantum computers. Keeping qubits stable requires extremely low temperatures and isolated environments.

Additionally, error rates in quantum computations are higher than in classical computations. Quantum error correction, a field of study in its own right, is crucial for reliable quantum computing.

Quantum computing, though still in the developmental stage, stands at the forefront of a computational revolution. It promises to solve complex problems far beyond the reach of traditional computers, potentially reshaping entire industries and aspects of our daily lives. As research and technology advance, we may soon witness the unlocking of quantum computings full potential, heralding a new era of innovation and discovery.

DNA data storage emerges as a paradigm shift, harnessing the building blocks of life to revolutionize how we store information.

Unprecedented Storage Capabilities

DNAs storage density is unparalleled: one gram can store up to 215 petabytes of data. In contrast, traditional flash memory can hold only about 128 gigabytes per gram. This immense capacity could fundamentally change how we manage the worlds exponentially growing data.

Longevity and Reliability

DNA is not only dense but also incredibly durable. It can last thousands of years, far outstripping the lifespan of magnetic tapes and hard drives. Its natural error correction mechanisms, rooted in the double helix structure, ensure data integrity over millennia.

DNA for Computation and Beyond

Beyond storage, DNA holds potential for computation. Researchers are exploring DNA computing, where biological processes manipulate DNA strands to perform calculations. This could lead to breakthroughs in solving complex problems that are infeasible for conventional computers.

Challenges in Practical Implementation

Despite its promise, DNA data storage is not without challenges. Synthesizing and sequencing DNA is currently expensive and time-consuming. Researchers are working on methods to streamline these processes and reduce error rates, which are crucial for making DNA a practical medium for everyday data storage.

While quantum computing offers exponential speedups on specialized problems, its broader applicability and scalability remain uncertain. And both quantum and DNA computing currently require extremely low operating temperatures only possible with expensive equipment. They also consume large amounts of energy, though less than traditional data centers. However, both offer inherent data security advantages. Quantum computations cannot be copied, while DNA data storage is dense and hard to access. We may see hybrid deployments that apply these technologies to niche applications. For generalized workloads, traditional binary computing will likely dominate for the foreseeable future.

The integration of AI with quantum computing and DNA data storage represents a leap forward in computational capability.

AI and Quantum Computing: A Synergy for Complex Problems

AI algorithms can leverage the immense processing power of quantum computers to analyze large datasets more efficiently than ever before. This synergy could lead to breakthroughs in fields like drug discovery, where AI can analyze quantum-computed molecular simulations.

AI and DNA Data Storage: Managing Massive Databases

With DNAs vast storage capacity, AI becomes essential in managing and interpreting this wealth of information. AI algorithms can be designed to efficiently encode and decode DNA-stored data, making it accessible for practical use.

Ethical and Societal Implications

As highlighted in The Coming Wave by Mustafa Suleyman, the intersection of these technologies raises significant ethical questions. The use of genetic data in AI models, for instance, necessitates stringent privacy protections and considerations of genetic discrimination.

Looking Ahead: AI as the Conductor

The future sees AI not just as a tool but as a conductor, orchestrating the interplay between quantum computing and DNA data storage. This involves developing new algorithms tailored to the unique properties of quantum and DNA-based systems.

Google AI recently demonstrated a program that can autonomously detect and correct errors on a quantum processor, a major milestone. On the DNA computing front, researchers successfully stored a movie file and 100 books using DNA sequences. Ongoing studies also show promise in using DNA to manufacture nanoscale electronics for faster, denser computing. Quantum computing is enabling models of complex chemical reactions and biological processes. As costs decline, we could see exponential growth in synthesizing custom DNA and practical quantum computers.

Despite promising strides, there are still obstacles to realizing commercially viable DNA and quantum computing. Stability of quantum bits remains limited to milliseconds, far too short for practical applications. And while DNA sequencing costs have dropped, synthesis and assembly costs remain prohibitively high. There are also ethical pitfalls if without careful oversight, like insurers obtaining genetic data, or AI algorithms exhibiting biases. Job losses due to increasing automation present another societal challenge. Investments in retraining and social programs will be necessary to ensure shared prosperity.

Hybridized quantum-DNA computing could transform our relationship with information and usher in an era of highly personalized medicine and hyper-accurate simulations. It may even require overhauling information theory and rethinking how humans interact with advanced AI. But we must thoughtfully navigate disruptions to industries like finance and cryptography. Avoiding misuse will also require international cooperation to enact governance frameworks and design systems mindful of ethical dilemmas. With wise stewardship, hybrid computing could positively benefit humanity.

The convergence of quantum computing, DNA data storage, and AI represents an unprecedented phase change for processing power, memory, and information handling. To fully realize the potential, while mitigating risks, we must aggressively fund research and development at the intersection of these fields. The technical hurdles are surmountable through collaboration between the public and private sectors. But establishing governance and ethical frameworks ultimately requires a broad, multidisciplinary approach. If society rises to meet this challenge, we could enter an age of scientific wonders beyond our current imagination.

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Beyond Binary: The Convergence of Quantum Computing, DNA Data Storage, and AI - Medium

3 Quantum Computing Stocks to Tap into the Future in 2024 – InvestorPlace

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Invest in quantum leap in 2024, uncovering tech stocks driving the quantum computing industry's explosive growth

As we usher in 2024, quantum computing stocks are not just buzzwords but pivotal players in a technological revolution. Quantum computing, a field brewing for decades, currently stands at the forefront of innovation. Its a realm where the peculiarities of quantum mechanics converge to forge computing power, effectively dwarfing traditional methods.

Moreover, though quantum computing still dances mostly within the experimental stages in commercial settings, its promise remains undeniable. Functional quantum systems are no longer a fragment of science fiction they are a reality. The implications of this technology are vast and varied, stretching from societal advancements to inevitable security challenges. Yet, the promise held within these quantum computing stocks is palpable, a promise of a future where the benefits far surpass the risks.

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IonQ(NYSE:IONQ) stands out in the quantum computing space as a dedicated player, distinct from the sprawling tech giants which traditionally dominate the sector. This focus gives IonQ an edge, primarily considering its smaller market cap which hints at a robust upside potential for investors. As the first pure-play quantum computing company to go public, IonQ doesnt just participate in the quantum computing conversation; it leads it. With the industry still in its early stages, IonQs role in the sector is critical to the quantum computing narrative.

A significant draw for IonQ is its impressive collaborations with all three major cloud providers. Notably, its Aria quantum computer integrates seamlessly with Amazon (NASDAQ:AMZN), a platform enabling advanced tasks, including testing quantum circuits. This accessibility is a big leap forward for quantum computing applications. Financially, IonQs trajectory has been remarkable. Surpassing its $100 million cumulative bookings target since 2021 and accumulating $58.4 million in bookings in 2023 alone, IonQ demonstrates potent growth. Despite its unprofitability in terms of cash flow, the companys revenue for the third quarter surged by 122% year-over-year (YOY), a clear indicator of its mushrooming potential in a nascent yet rapidly evolving market.

Source: Sergio Photone / Shutterstock.com

Nvidia(NASDAQ:NVDA) has established itself as a titan in the tech sphere, particularly in 2023, with its groundbreaking h100 chips leading the charge in artificial intelligence (AI) applications. The anticipation for 2024 is already high as Nvidia gears up to unveil the h200, the successor to the h100. The h200 is poised to elevate Nvidias status even further, reinforcing its position as a frontrunner in the tech world.

Beyond its AI prowess, Nvidia is making significant strides in quantum computing. Its cuQuantum project, aimed at stimulating quantum circuits, has broken new ground in the simulation of ideal and noisy qubits. Nvidias expertise in simulating quantum computing environments is another compelling reason for investors to take note. Moreover, Nvidias projections for a potential quadrupling by 2035 indicate a promising path for long-term investment.

Source: IgorGolovniov / Shutterstock.com

Alphabet(NASDAQ:GOOG, NASDAQ:GOOGL) is emerging as a powerhouse in the quantum computing sphere, achieving a pivotal breakthrough in February by reducing computational errors in its quantum bits. This advancement is a critical step towards making quantum computers not only usable but commercially viable. Alphabets dedication to overcoming one of the major hurdles in quantum computing commercialization highlights its commitment to leading in this innovative field.

Financially, Alphabet is on a strong footing, bolstered by its decision to efficiently reorganize its advertising business, which represents a staggering 80% of its total revenue. This reorganization comes on the heels of a remarkable $54.4 billion in ad sales in the recent quarter. Such strategic shifts could further enhance the companys robust financial performance. Additionally, Alphabets foray into AI with the launch of Gemini, an AI model designed to rival Microsofts OpenAI, showcases its ambition to convert technological prowess into tangible sales growth. The companys impressive top and bottom lines, with sales of $297.13 billion and net income of $66.73 billion, further solidify its position as a robust contender in the tech arena, poised for continued growth and innovation.

On the date of publication, Muslim Farooque did not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

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IBM expands on quantum network with launch of IBM Quantum Heron and more – ERP Today

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Announced at its annual IBM Quantum Summit in New York, IBM has unveiled its IBM Quantum Heron, the first in a new series of quantum processors engineered to deliver high performance metrics.

IBM also debuted the IBM Quantum System Two, the companys first modular computer and cornerstone of IBMs quantum-centric supercomputing architecture. Located in Yorktown Heights, New York, the first IBM Quantum System Two has begun operations with three IBM Heron processors and supporting control electronics.

Dario Gil, IBM SVP and director of research, said: We are firmly within the era in which quantum computers are being used as a tool to explore new frontiers of science.

As we continue to advance how quantum systems can scale and deliver value through modular architectures, we will further increase the quality of a utility-scale quantum technology stack and put it into the hands of our users and partners who will push the boundaries of more complex problems.

Having demonstrated its 127-qubit IBM Quantum Eagle earlier this year, IBM Quantum systems now serve as a scientific tool to explore utility-scale classes of problems in chemistry, physics and more.

Since the demonstration, leading researchers, scientists and engineers from organizations across the globe have expanded demonstrations of utility-scale quantum computing to confirm its value in exploring uncharted computational territory. This includes experiments running on the IBM Quantum Heron 133-processor, which the company is now making available for users via the cloud.

IBM Quantum System Two combines scalable cryogenic infrastructure and classical runtime servers with modular qubit control electronics. This architecture combines quantum communication and computation, assisted by classical computing resources and leverages a middleware layer to integrate quantum and classical workflows.

As part of IBMs expanded ten-year quantum development roadmap, the company plans for this system to house IBMs future generations of quantum processors. Additionally, IBM has also unveiled plans for a new generation of its software stack and has announced Qiskit Patterns which aim to democratize quantum computing development.

Qiskit Patterns will serve as a mechanism to allow quantum developers to easily create code. With Qiskit Patterns, combined with Quantum Serverless, users can build, deploy and execute workflows integrating classical and quantum computation in different environments, such as cloud or on-prem scenarios.

Jay Gambetta, vice president and IBM fellow at IBM, said: GenAI and quantum computing are both reaching an inflection point, presenting us with the opportunity to use the trusted foundation model framework of watsonx to simplify how quantum algorithms can be built for utility-scale exploration.

This is a significant step towards broadening how quantum computing can be accessed and put in the hands of users as an instrument for scientific exploration.

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Where AI and quantum computing meet – TechTarget

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To a lot of IT leaders, quantum computers sound closer to science fiction than something that can be implemented in their data centers. But it's on the way; IBM last month introduced System Two, the first quantum computer that connects three processors to work together.

Last year's small steps on the quantum roadmap are turning into this year's bigger leaps. IBM charged Scott Crowder, vice president of quantum adoption, with the task of helping customers discover new uses for quantum computing, as well as the development of the software to accomplish those tasks. We asked Crowder to give CIOs a progress report on where quantum computing technology has advanced, and what it will take to get it into the enterprise.

For those who have heard of quantum computing but don't quite grok it, how does it differ from the classical computing that powers our laptops, phones and desktops?

Scott Crowder: It fundamentally uses a different information science. It's not like classical in the sense that we were doing classical information science before we invented digital computers. This is different in the way it does computation. Therefore, it's better at certain kinds of math than the computers of today are bad at and vice versa.

You could theoretically run anything on a universal quantum computer, but you wouldn't want to. You only want to run through quantum the things that classical computers aren't great at and what quantum computers have been proven to be good at. They leverage quantum mechanics, so it is like sci-fi come to life. It can do certain kinds of computation that we might never ever, ever be able to do using a classroom.

When will we see more mainstream adoption of quantum computers, and what will that look like?

Crowder: Before this year, you could argue that anything you could do with a quantum computer could be simulated classically. There was no point of doing the computation on a computer other than learning about its information science. But that's changed. This year, for the first time, you actually could run something on a quantum computer that you can't run on a classical simulator. It doesn't mean you can run anything on a quantum computer. It's the first couple of kinds of computations that you can actually get value out of a quantum computer as opposed to trying to simulate it.

Over the next couple of years, the usefulness or utility will continue to expand. Right now, there are limitations of how big a problem we can run because of the quality of the systems. But we're past the point where there's value in running a quantum computer. It doesn't mean there's business value yet, because problems tend to get bigger, they need to be integrated into your workflows, etc. But we don't think it's going to take until 2033 for other people to get business value.

In the 1940s, we weren't carrying around classical computers in our pocket and doing whatever it is we're doing on our phones. They were the initial use cases in scheduling. I think that's going to be true this decade [for quantum computers]. In the next decade when the systems get bigger and bigger and bigger -- and better and better and better -- you're going to see more and more use cases.

What will be the first use cases?

There are three kinds of math that quantum computers are getting better at.

One of them is around simulating nature. Materials, properties, physics, chemistry -- think of all the industrial as well as healthcare and life sciences chemistry-related things.

The second kind of math that quantum computers will be better at is a certain kind of complex structure in the data. The most famous algorithm, Shor's algorithm -- which all the nation-states are interested in -- is that kind of math. It does factoring: A times B equals C. A times B; regular old computers are good at giving you C. But given C, your computer is not good at figuring out what A and B were. Classical computers are not good at that kind of math, which is a good thing. If we don't have cryptography, we don't have a digital economy.

This is part of the discussion about quantum. If it falls into the hands of bad actors, we are in deep trouble. But this kind of math is also used in machine learning -- things like classification. It can help find fraud, better trial sites for clinical trials and better treatments when it's given a patient's health record data. There's a lot of interest in the industry of leveraging quantum computers in the near term for those kinds of problems.

The last kind of math, which is also interesting -- but for the second phase of the journey late this decade or in the next decade -- is around optimization. What takes me N tries on a regular old computer will take the square root of N tries on a quantum computer. So N equals 100, squared equals a factor of 10. There might be breakthroughs in that space as well. Examples might be portfolio optimization in financial services, risk management and logistics -- a whole bunch of things that people struggle with using regular computers to document today.

Quantum computers run somewhere down near zero degrees Kelvin. How are we going to solve the freezer problem? Put them in space?

Crowder: Unfortunately, space isn't cold enough.

We need to isolate the computing part of it from the rest of the universe because you're programmatically entangling these qubits with each other in a specific way. It can't be perfectly isolated (at absolute zero) because if it is perfectly isolated, we can't get them to do anything. It needs to be just connected enough to the rest of the universe so you can program it, but the rest of the universe can't muck with it. That's why either you need to keep it very, very, very, very cold -- like we do with our technology -- or you need to shoot laser beams at it [using a light-based approach] to take the entropy out. It's complicated, and it's not room temperature, no matter how you do it.

The good news is that there are commercial refrigeration techniques that are stable. They're low cost, and they're low energy compared to regular old computers -- like compared to a rack of electronics. These things seem extremely efficient. The refrigeration action is not that big of a problem. There are other problems in scaling them and getting the cost down, but the underlying technology is there.

Do you think that quantum computers will ever make it into the average enterprise data center? Or will it be reserved for specialized use only large enterprises will be able to afford?

Crowder: The infrastructure around quantum computers, I know, seems weird and different right now. But we've deployed them at Cleveland Clinic; we've deployed them in Germany, Japan and Canada. We have large data centers. I think in the near-term, like the next several years, the technology is so rapidly advancing that it probably doesn't make sense plopping them in enterprise data centers, because you're going to want the latest technology.

Cloud delivery has definite advantages because the software stack is evolving quickly and allows us to get new capabilities out to everybody at the same time and because the underlying hardware improves year by year by year. You're going to have quantum computers in enterprise data centers, whether that be [via] cloud provider or on premises. It's going to happen. It just doesn't make sense in the next several years.

Explain how quantum computing will intersect with AI. We have heard that quantum is not a match for generative AI.

Crowder: It's a mix. People usually use the word AI to mean the latest trend in AI.

Thinking of AI in a broader sense [than just generative AI], yes, there is a direct connection in terms of finding data patterns and complex structure problems, through machine learning or other means. Quantum will automatically do a better job of classification, as an example. That's not generative AI.

Generative AI is the latest stage in AI, and that is now the definition of AI for the next year or two until we come up with something else -- the next definition of AI. Generative AI has just a tenuous connection to quantum computing. There are people who are doing research and looking at leveraging quantum on neural networks as opposed to deep neural networks. I don't think anything has proven that quantum is going to be better in that space. But some researchers think that it might. Over the next couple of years, we'll find out the answer. But at this point I haven't seen any data that says definitively "yes." But I haven't seen any data that says definitively "no" either.

Don Fluckinger covers digital experience management, end-user computing, CPUs and assorted other topics for TechTarget Editorial. Got a tip? Email him here.

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Where AI and quantum computing meet - TechTarget

Breaking the Cold Barrier: The Cutting-Edge of Quantum Entanglement – SciTechDaily

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Two groundbreaking studies have developed a method for controlling quantum entanglement in molecules, specifically calcium fluoride (CaF), using an optical tweezer array to create highly entangled Bell states. This advancement opens new avenues in quantum computing and sensing technologies.

Advancements in quantum entanglement with calcium fluoride molecules pave the way for new developments in quantum computing and sensing, utilizing controlled Bell state creation.

Quantum entanglement with molecules has long been a complex challenge in quantum science. However, recent advancements have emerged from two new studies. These studies showcase a method to tailor the quantum states of individual molecules, achieving quantum entanglement on demand. This development offers a promising platform for advancing quantum technologies, including computation and sensing. Quantum entanglement, a fundamental aspect of quantum mechanics, is vital for various quantum applications.

Ultracold molecules, with their intricate internal structure and long-lived rotational states, are ideal candidates for qubits in quantum computing and quantum simulations. Despite success in creating entanglement in atomic, photonic, and superconducting systems, achieving controlled entanglement between molecules has been a challenge. Now, Yicheng Bao and colleagues, along with Conner Holland and colleagues, have developed a method for the controlled quantum entanglement of calcium fluoride (CaF) molecules.

These studies utilized the long-range dipolar interaction between laser-cooled CaF molecules in a reconfigurable optical tweezer array. They successfully demonstrated the creation of a Bell state, a key class of entangled quantum state characterized by maximum entanglement between two qubits. The Bell state is crucial for many quantum technologies.

Both studies show that two CaF molecules located in neighboring optical tweezers and placed close enough to sense their respective long-range electric dipolar interaction led to an interaction between tweezer pairs, which dynamically created a Bell state out of the two previously uncorrelated molecules.

The demonstrated manipulation and characterization of entanglement of individually tailored molecules by Baoet al.and Hollandet al.paves the way for developing new versatile platforms for quantum technologies, writes Augusto Smerzi in a related Perspective.

References:

Dipolar spin-exchange and entanglement between molecules in an optical tweezer array by Yicheng Bao, Scarlett S. Yu, Loc Anderegg, Eunmi Chae, Wolfgang Ketterle, Kang-Kuen Ni and John M. Doyle, 7 December 2023, Science. DOI: 10.1126/science.adf8999

Entanglement with tweezed molecules by Augusto Smerzi, 7 December 2023, Science. DOI: 10.1126/science.adl4179

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Breaking the Cold Barrier: The Cutting-Edge of Quantum Entanglement - SciTechDaily