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Category Archives: Quantum Computing

Microsoft Advances in Quantum Computing with Error-Reduction Breakthrough – yTech

Posted: April 4, 2024 at 4:24 am

In a recent milestone achievement, Microsoft, in coordination with its hardware partner Quantinuum, has reported a significant breakthrough in quantum computing, propelling the technology from a rudimentary stage to a more advanced and dependable phase. The company detailed a success in virtually eliminating computational errors by deploying a qubit-virtualization system in conjunction with Quantinuums ion-trap hardware. The synergy between the two resulted in over 14,000 error-free experiments, allowing the creation of logical qubits that are substantially more reliable than their physical counterparts.

The error rate of logical qubits fashioned by this method is claimed to be 800 times lower than that of the physical qubits, a performance metric that suggests quantum computing has evolved past its initial experimental phase, referred to as Foundation Level 1. Microsoft has now stepped into the Resilient Level 2, leveraging logical qubits to ensure more robust computing operations.

This technological leap is not only impressive in terms of its scientific and engineering aspects but also practical, as Microsoft plans to integrate these advancement features into Azure Quantum Elements services for its subscribers within the next few months. Interested individuals can access intricate details and insights on the Microsoft Azure Quantum Blog.

Microsofts vision for the future of quantum computing reaches beyond the present accomplishment, aiming for Level 3. At this apex, quantum computers could potentially address and resolve complex problems that are currently beyond the capabilities of conventional supercomputers. In a statement to TechCrunch in June 2023, Microsoft expressed expectations of realizing a fully functional quantum computer in under ten years.

Quantum Computing Industry Overview

The field of quantum computing seeks to exploit the peculiar principles of quantum mechanics to process information in ways that traditional computers cannot. As demonstrated by Microsoft, significant steps are being made to overcome one of the industrys most challenging issues: error rates in qubits. Qubits, or quantum bits, are the fundamental units of quantum computing and are far more complex than their binary counterparts due to their ability to exist in multiple states simultaneously.

The global quantum computing market is experiencing rapid growth, with forecasts predicting substantial expansion over the next decade. Analysts suggest that the market could reach billions of dollars in value as various industries, including pharmaceuticals, finance, defense, and materials science, seek to unleash the potential of quantum computing. Advancements from tech giants like Microsoft offer encouragement that quantum technology is inching closer to commercial viability.

Market Forecasts

Market analysts project that quantum computing will not only grow in value but will also proliferate across different sectors. As enterprises and research institutions identify problems that can only be solved through quantum computing, demand is expected to surge. The development of more reliable qubit systems, like the virtualized qubits announced by Microsoft, fuels optimism that practical quantum computers could enter the market sooner rather than later.

Industry Issues and Challenges

Despite the enthusiasm, the quantum computing industry grapples with several key issues, chief among them being error correction. Quantum systems are extremely sensitive to external disturbances, which can cause errors in computations, termed as quantum decoherence. Improving qubit fidelity, as Microsoft and Quantinuum have shown, is a significant step toward practical quantum computing.

Another challenge is scalability. Building quantum computers with a sufficient number of qubits to tackle complex problems requires advancements in both hardware and algorithms. Research and development in quantum error correction, cryogenics, and quantum algorithms are ongoing to address these challenges.

Finally, there is the skill gap. The nascent nature of the industry means there is a limited pool of experts who can design and implement quantum solutions. As the sector expands, the demand for quantum-literate engineers and researchers will only increase.

Links and Resources

Readers seeking additional information on the subject may wish to visit these authoritative sources for further reading: Microsoft for insights into their quantum computing advancements and Azure Quantum Elements services. IBM to explore another leader in quantum computing research and cloud services. Google AI Quantum to learn about Googles contributions to the field and their pursuit of quantum supremacy.

To review Microsofts detailed update on their achievement, readers can also refer to the Microsoft Azure Quantum Blog via Microsofts official site. As the quantum landscape continues to evolve, keeping abreast of these technological leaps from market leaders will be crucial for understanding the potential impact on various industries.

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Microsoft Advances in Quantum Computing with Error-Reduction Breakthrough - yTech

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Microsoft and Quantinuum boast quantum computing breakthrough – DIGIT.FYI

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Microsoft and Quantinuum, a quantum computing firm, have claimed to reach a seminal step in quantum computing, in what could be the most reliable quantum capabilities yet to be seen.

The machine boasts the ability to correct itself, using Microsofts qubit-virtualisation system Microsoft says it ran the computer on 14,000 individual experiments without a single error.

Quantum computers can solve computational problems that could take millions of years to solve on a traditional silicon-based computer, with unprecedented speeds.

But quantum relies on qubits as their fundamental component, which, despite their speed, can produce many errors if the environment is not optimal. To combat this, quantum computers often have error-correction techniques built in so that more reliable results are produced.

Breakthroughs in quantum error correction and fault tolerance are important for realising the long-term value of quantum computing for scientific discovery and energy security, Dr Travis Humble, director of of the Quantum Science Centre at the Oak Ridge National Laboratory said.

Microsoft researchers wrote an algorithm to correct the errors produced by Quantinuums qubits, resulting in the largest gap between physical and logical error rates reported to date, Microsoft announced.

From 30 qubits, researchers were able to retain four logical qubits, which could generate solutions and errors that could be fixed without the qubits being destroyed.

The error rate of these four logical qubits were also 800 times lower than the error rate of the physical qubits.

Todays results mark a historic achievement and are a wonderful reflection of how this collaboration continues to push the boundaries for the quantum ecosystem, Ilyas Khan, founder and chief product officer at Quantinuum said.

With Microsofts state-of-the-art error correction aligned with the worlds most powerful quantum computer and a fully integrated approach, we are so excited for the next evolution in quantum applications and cant wait to see how our customers and partners will benefit from our solutions especially as we move towards quantum processors at scale.

The major step has yet to be investigated by the wider scientific community however. Further, quantum computers will likely need 100 ore more logical qubits to tackle the most relevant scientific problems currently facing us. Still, the results are promising to wider quantum computing research.

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Why Quantum Computers Will Never Break Bitcoin – Palm Beach Research Group

Posted: at 4:24 am

In 1940, one genius completed a puzzle in just 20 minutes that shouldve taken him a million years to solve.

His name is Alan Turing.

You may be familiar with Turings story from the 2014 movie The Imitation Game. Benedict Cumberbatch earned a Best Actor nomination for his portrayal of the genius.

If you saw the movie, you know Turing is considered the father of computer science and one of the most important code-breakers of all time.

When World War II broke out in 1939, Turing was assigned to breaking encrypted messages from the Germans.

This was no easy task, as the Germans held the most sophisticated encryption machine at the time, the Enigma.

Credit: ironypoisoning, via Wikimedia Commons

The Enigmas encryption was far greater than anything before its time.

It became clear cracking the code to the Enigma was going to require an even smarter machine. So Turing built one.

It took Turing and his team nearly a year to build a machine that was powerful enough to decrypt Enigmas messages. It was known as the Bombe, and it helped the Allies crack 84,000 Enigma-coded messages each month.

Decrypting messages went from taking potentially a million years by hand to just 20 minutes.

Heres why were telling you this

Last year, IBM debuted its 1,121-qubit Condor processor. Its the most advanced quantum computer to date.

Quantum computers such as the Condor can perform billions of calculations per second. So they can find patterns in data that are invisible to classic computers. They have the potential to revolutionize everything from medicine to engineering.

Many crypto skeptics believe bitcoins defenses will be broken as quantum computers get more powerful And it will share the same fate as the Enigma.

But theres one key mistake that made the Enigma almost certain to fail. And bitcoin doesnt share that flaw

The reason Enigma failed is because once it was built its creators never improved it.

It was only a matter of time before those looking to crack the Enigma would develop better technology.

While the Enigma stood dead in its tracks, Turing made improvements to his decryption machine every day until it became more powerful than the Enigma.

The lesson here is that you always need to push forward. If you dont, the competition will close the gap.

Its a lesson bitcoin developers took to heart.

The bitcoin network was developed with quantum computing mechanics in mind. To combat this, the difficulty to mine the next bitcoin block increases as more computing power comes online.

Take a look at the chart below. It shows the hash power, or computing power, of the bitcoin mining network.

Every year, the computing power that goes into mining a bitcoin block (in other words, processing a transaction) increases.

As mentioned above, IBM released its 1,121-qubit Condor processor in December 2023.

According to the University of Sussex, youd need a quantum computer with 1.9 billion qubits of processing power to break the bitcoin network.

This means youd need 1.7 million of the most powerful quantum computers built today.

IBM believes it can get to 10,000 qubits by 2026. Even then, itll need nearly 200,000 of these machines to crack the bitcoin network.

How long will it take for companies like IBM to build this many machines? Years? Decades?

Plus, if you want to attack the bitcoin network, you need to control 51% of the networks computing power.

Today, one of the best bitcoin miners, the Bitmain Antminer S19 Pro, will cost you $2,200. This machine can generate 110 terahashes per second (TH/s).

The bitcoin network uses roughly 384.33 million TH/s. That means youd need 1.78 million Antminer S19 Pros to overtake the network. Thats over $3.9 billion.

Youd also need to pay for a storage facility to set up these machines. And youd need to coordinate a massive amount of electricity to the building. These machines consume roughly 3,250 watts per hour.

At an average cost of 23 cents per kilowatt, that would cost about $32 million per day.

But even if you spend nearly $4 billion to take over the bitcoin network, youd never be able to extract all $500 billion of its value. The moment that you overtake the network, its value would race to zero.

Its like pirates buying a $4 billion battleship to commandeer a cargo ship carrying $400 million worth of goods. Its not worth the effort.

And thats why the bitcoin network is considered antifragile. It would cost you more to take over the network than the network would be worth.

Every year that bitcoin exists, it moves further and further out of reach of attackers.

So while you might need 1.9 billion qubits of quantum computing processing power to break the blockchain today Youll likely need 3 billion qubits of processing power next year. And 4 billion the following year and so on.

Thats what separates the fatal flaw of the Enigma from the security of the bitcoin network.

When technology like the Enigma just stands still, competition surpasses you.

Bitcoin, on the other hand, is constantly improving its security. Its never satisfied with where its at. Even if it appears to be unbreakable today, it will still be stronger tomorrow.

So when you see quantum computers gaining ground, know that bitcoin isnt standing still.

Thats why the advances of quantum computers arent a threat to bitcoin for the foreseeable future.

So dont let quantum computing fears stop you from owning a stake in one of the worlds greatest assets.

Palm Beach Research Group

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Why Quantum Computers Will Never Break Bitcoin - Palm Beach Research Group

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Revolutionizing Quantum Computing: Breakthroughs in Quantum Error Correction – AZoQuantum

Posted: at 4:24 am

Despite their great potential, quantum computers are delicate devices. Unlike classical computers, qubits (the quantum version of bits) are prone to errors from noise and decoherence. Addressing this challenge, Quantum Error Correction (QEC) is a crucial division of quantum computing development that focuses on resolving qubit errors.

Image Credit:Yurchanka Siarhei/Shutterstock.com

The world of atoms and subatomic particles is governed by the laws of quantum mechanics. Quantum computing harnesses these principles, performing calculations in a completely different way from traditional computers.

Regular computers use bits, which can be either 0 or 1. Quantum computers, however, exploit the bizarre property of superposition, allowing qubits to be 0, 1, or both at the same time. The ability to be in multiple states simultaneously enhances the processing power of quantum computers.

Qubits are made from quantum particles like electrons or photons. By controlling properties like electrical charge or spin, data can be represented as 0, 1, or a combination of both. To unlock the true power of quantum computers, scientists rely on two unique properties:

There is no preferred qubit technology; instead, a range of physical systems, such as photons, trapped ions, superconducting circuits, and semiconductor spins, are being investigated for use as qubits.1

All these methods face the common challenge of isolating qubits from external noise, making errors during quantum computation inevitable. In contrast, classical computer bits, realized by the on/off states of transistor switches with billions of electrons, have substantial error margins that virtually eliminate physical defects.

There is no equivalent error-prevention security for quantum computers, where qubits are realized as fragile physical systems. Thus, active error correction is necessary for any quantum computer relying on qubit technology.

In 1995, Peter Shor introduced the first quantum error-correcting method. Shors approach demonstrated how quantum information could be redundantly encoded by entangling it across a larger system of qubits.

Subsequent findings then showed that if specific physical requirements on the qubits themselves are satisfied, extensions to this technique may theoretically be utilized to arbitrarily lower the quantum error rate.

While diverse efforts are being undertaken in the field of QEC, the fundamental approach to QEC implementation involves the following steps.

Quantum information is encoded across several physical, distributed qubits. These qubits act as 'information holders' for a 'logical qubit,' which is more robust and contains the data used for computation.

The logical qubits are then entangled with the physical information holders using a specific QEC code. These additional physical qubits serve as sentinels for the logical qubit.

QEC identifies errors in the encoded data by measuring the information holders using a method that does not affect the data directly in the logical qubit. This measurement provides an indication or a pattern of results that shows the type and location of the error.

Different QEC codes are available for the various types of errors that could occur. Based on the detected error, the chosen QEC system applies an operation to correct the error in the data qubits.

Error correction itself has the potential to generate noise. Therefore, additional physical qubits are required to maintain the delicate balance of correcting errors and limiting the introduction of new ones.

To realize the full potential of a quantum computer, the number of logical qubits has to be increased. However, since each logical qubit requires several physical qubits for error correction, the complexity and resources needed to isolate and manage high-quality qubits become considerable obstacles to scalability.

In recent years, quantum error correction has seen significant advancements, and the community's focus has shifted from noisy applications to the potential uses of early error-corrected quantum computers. Though research on superconducting circuits, reconfigurable atom arrays, and trapped ions has made significant strides, several platform-specific technological obstacles remain to be solved.

Some notable recent advancements in QEC include:

Despite the challenges, QEC is essential for building large-scale, fault-tolerant quantum computers. Researchers are constantly developing new and improved QEC codes and techniques.

As quantum technology progresses, QEC will play a critical role in unlocking the true potential of this revolutionary field.

More from AZoQuantum: Harnessing Quantum Computing for Breakthroughs in Artificial Intelligence

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

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Revolutionizing Quantum Computing: Breakthroughs in Quantum Error Correction - AZoQuantum

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Microsoft and Quantinuum announce breakthrough in quantum computing 14 thousand experiments without errors – ITC

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Microsoft and Quantinuum announce breakthrough in quantum computing 14 thousand experiments without errors  ITC

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Quantum Computing Recharged With Electromagnetic Ion Trap Innovation – SciTechDaily

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The experimental setup of the ETH researchers. The trap chip is located inside the container underneath the silver cupola, in which a lens captures the light emitted by the trapped ions. Credit: ETH Zurich / Pavel Hrmo

Researchers at ETH have managed to trap ions using static electric and magnetic fields and to perform quantum operations on them. In the future, such traps could be used to realize quantum computers with far more quantum bits than have been possible up to now.

The energy states of electrons in an atom follow the laws of quantum mechanics: they are not continuously distributed but restricted to certain well-defined values this is also called quantization. Such quantized states are the basis for quantum bits (qubits), with which scientists want to build extremely powerful quantum computers. To that end, the atoms have to be cooled down and trapped in one place.

Strong trapping can be achieved by ionizing the atoms, which means giving them an electric charge. However, a fundamental law of electromagnetism states that electric fields that are constant in time cannot trap a single charged particle. By adding an oscillating electromagnetic field, on the other hand, one obtains a stable ion trap, also known as a Paul trap.

In this way, it has been possible in recent years to build quantum computers with ion traps containing around 30 qubits. Much larger quantum computers, however, cannot straightforwardly be realized with this technique. The oscillating fields make it difficult to combine several such traps on a single chip, and using them heats up the trap a more significant problem as systems get larger. Meanwhile, transport of ions is restricted to pass along linear sections connected by crosses.

Moving a single trapped ion in a two-dimensional plane and illuminating it with a laser beam allows the researchers to create the ETH logo. The image is formed averaging over many repetitions of the transport sequence. Credit: ETH Zurich / Institute for Quantum Electronics

A team of researchers at ETH Zurich led by Jonathan Home has now demonstrated that ion traps suitable for use in quantum computers can also be built using static magnetic fields instead of oscillating fields. In those static traps with an additional magnetic field, called Penning traps, both arbitrary transport and the necessary operations for the future super-computers were realized. The researchers recently published their results in the scientific journal Nature.

Traditionally, Penning traps are used when one wants to trap very many ions for precision experiments, but without having to control them individually, says PhD student Shreyans Jain: By contrast, in the smaller quantum computers based on ions, Paul traps are used.

The idea of the ETH researchers to build future quantum computers also using Penning traps was initially met with skepticism by their colleagues. For various reasons: Penning traps require extremely strong magnets, which are very expensive and rather bulky. Also, all previous realizations of Penning traps had been very symmetric, something that the chip-scale structures used at ETH violate. Putting the experiment inside a large magnet makes it difficult to guide the laser beams necessary for controlling the qubits into the trap, while strong magnetic fields increase the spacing between the energy states of the qubits. This, in turn, makes the control laser systems much more complex: instead of a simple diode laser, several phase-locked lasers are needed.

Schematic showing the middle section of the used Penning trap. An ion (red) is trapped through a combination of an electric field produced by different electrodes (yellow) and a magnetic field. Credit: ETH Zrich / Institute for Quantum Electronics

Home and his collaborators were not deterred by those difficulties, however, and constructed a Penning trap based on a superconducting magnet and a microfabricated chip with several electrodes, which was produced at the Physikalisch-Technische Bundesanstalt in Braunschweig. The magnet used delivers a field of 3 Tesla, almost 100000 times stronger than Earths magnetic field. Using a system of cryogenically cooled mirrors, the Zurich researchers managed to channel the necessary laser light through the magnet to the ions.

The efforts paid off: a single trapped ion, which can stay in the trap for several days, could now be moved arbitrarily on the chip, connecting points as the crow flies by controlling the different electrodes this is something not previously possible with the old approach based on oscillating fields. Since no oscillating fields are needed for trapping, many of those traps can be packed onto a single chip. Once they are charged up, we can even completely isolate the electrodes from the outside world and thus investigate how strongly the ions are disturbed by external influences, says Tobias Sgesser, who was involved in the experiment as a PhD student.

The researchers also demonstrated that the qubit energy states of the trapped ion could also be controlled while maintaining quantum mechanical superpositions. Coherent control worked both with the electronic (internal) states of the ion and the (external) quantized oscillation states as well as for coupling the internal and external quantum states. This latter is a prerequisite for creating entangled states, which are important for quantum computers.

As a next step, Home wants to trap two ions in neighboring Penning traps on the same chip and thus demonstrate that quantum operations with several qubits can also be performed. This would be the definitive proof that quantum computers can be realized using ions in Penning traps. The professor also has other applications in mind. For instance, since the ions in the new trap can be moved flexibly, they can be used to probe electric, magnetic, or microwave fields near surfaces. This opens up the possibility to use these systems as atomic sensors of surface properties.

Reference: Penning micro-trap for quantum computing by Shreyans Jain, Tobias Sgesser, Pavel Hrmo, Celeste Torkzaban, Martin Stadler, Robin Oswald, Chris Axline, Amado Bautista-Salvador, Christian Ospelkaus, Daniel Kienzler and Jonathan Home, 13 March 2024,Nature. DOI: 10.1038/s41586-024-07111-x

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Next-Generation Quantum Leap Achieved by Microsoft and Quantinuum – yTech

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In a groundbreaking advancement reflecting a leap towards more reliable quantum computing, Microsoft, in collaboration with Quantinuum, has successfully demonstrated a massive reduction in computational errors. This achievement is due to their development of a novel qubit-virtualization system that works impeccably with Quantinuums ion-trap hardware. Such innovation has led to a significant milestone with more than 14,000 experiments conducted error-free, paving the way for logical qubits that offer reliability far superior to their physical predecessors.

Remarkably, the error rate for these logical qubits is touted as 800 times lower compared to physical qubits, underscoring the transition of quantum computing from an early experimental stage to the more stable Resilient Level 2. Microsofts foray into this next level demonstrates a vital breakthrough in ensuring robust quantum operations.

This progress is not only of scientific and engineering interest but also holds practical applications, as Microsoft is poised to roll out the advancements to users through Azure Quantum Elements services shortly. For a deeper dive into the specifics, Microsoft has made extensive information accessible on its Azure Quantum Blog.

Looking toward the horizon, Microsoft envisions reaching Level 3 in the quantum computing spectrum, where quantum systems could tackle complex problems that far outstrip the capabilities of todays supercomputers. A fully operational quantum computer is anticipated by Microsoft within the next decade, as per their statement to TechCrunch in June 2023.

In the broader perspective, the quantum computing sector aims to harness the unique aspects of quantum mechanics for information processing, facing challenges such as error rates and qubit stability. However, developments like those from Microsoft are nurturing confidence in the industrys trajectory towards commercial viability, substantiated by market forecasts that predict quantum computings value in the billions across various sectors in the forthcoming years.

**Summary:** Microsoft, with its hardware partner Quantinuum, has announced a dramatically reduced error rate in quantum computing by using a new qubit-virtualization system, demonstrating over 14,000 error-free experiments. This milestone indicates a substantial leap from basic experiments to sophisticated logical qubit operations, with practical applications soon to be integrated into Microsofts Azure Quantum services. This development fuels optimism in the quantum computing markets growth, addressing both current challenges and future skills needs in the industry.

Industry Overview

Quantum computing represents one of the most promising technological frontiers in the 21st century. Unlike classical computers, which use bits to process information in a binary state of 0 or 1, quantum computers use qubits that can be in superpositions of states, thereby affording unparalleled computational speed and capability.

The industry, comprised of tech giants, startups, and research institutions, is accelerating its efforts to overcome the technical hurdles such as coherence time, error correction, and scalable qubit generation. Microsofts collaboration with Quantinuum and the development of a qubit-virtualization system marks a major stride in addressing these challenges, particularly the error rate issue.

Market Forecasts

Evaluating the potential financial impact of quantum computing is complex, but market forecasts are bullish. According to reports from leading market research firms, the quantum computing market could be worth several billion dollars by the late 2020s or 2030s. Such forecasts consider the application of quantum computing across various domains, including pharmaceuticals, aerospace, finance, and materials science. These sectors will benefit from the massive computational power through improved optimization, modeling, and simulations.

Industry Challenges and Future Prospects

Despite the optimism, the quantum computing industry faces significant hurdles. Creating stable qubits, ensuring long coherence times, and developing infrastructure, software, and algorithms capable of harnessing quantum computing power are major technical challenges. Moreover, creating a skilled workforce to drive this next tech revolution represents a societal challenge.

Microsofts reported milestone indicates that the industry is moving closer to solving the error rate problem, which is pivotal for reliable quantum computations. Achieving Resilient Level 2 reflects not only a technological leap but also a conceptual shift, showcasing that quantum computing can step out of the research labs and into practical, commercial applications.

For those interested in learning more about quantum computing technology and industry updates, reputable sources such as IBM, which conducts significant research and development in this area, and Nature, which regularly publishes peer-reviewed articles on scientific advancements, are valuable resources.

**Summary:** The collaboration between Microsoft and Quantinuum has yielded a significant reduction in quantum computing errors, creating a path for more reliable quantum operations. With over 14,000 error-free experiments, this exemplifies a vital transition from experimental quantum computing to a more robust stage. The advancements signal increasing commercial viability for quantum computing, which carries the potential for transformative effects across numerous industries. Engaging with thought leaders like Microsoft through the Microsoft main page and Azure Quantum Blog can offer further insights into these developments.

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BTQ Technologies Corp. Partners with the Australian Quantum Software Network to Advance Quantum Computing and … – PR Newswire

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VANCOUVER, BC, April 1, 2024 /PRNewswire/ - BTQ Technologies Inc.(the "Company" or "BTQ") (Cboe CA: BTQ) (FSE: NG3) (OTCQX: BTQQF), a global quantum technology company focused on securing mission critical networks, is pleased to announce its partnership with the newly incorporated Australian Quantum Software Network (AQSN), a not-for-profit organization dedicated to pioneering advancements in quantum software development in Australia.

As a partner organization, BTQ Technologies is collaborating with AQSN to develop open-source quantum computing software, including quantum compilers and resource estimators. These tools are essential for the advancement of quantum applications, particularly in the areas of quantum error correction, overlapping with BTQ's existing project QByte, and algorithms for quantum enhanced communications.

Dr. Gavin Brennen, BTQ's Quantum Information Advisor, has been appointed as co-director of the AQSN, alongside Associate Professor Simon Devitt from the University of Technology Sydney (UTS) and Professor Jingbo Wang from the University of Western Australia (UWA). This leadership trio is set to guide the AQSN towards becoming a pivotal entity in the global quantum landscape.

About Australian Quantum Software Network

The Australian Quantum Software Network (AQSN) links together researchers from universities, government, start-ups and corporations who are all at the forefront of research into quantum software and information. AQSN represents one of the largest collections of experts and technology pioneers in the world pushing forward the fundamental theory and software tools that will underpin the quantum economy of the 21st century. For more information please visit https://www.quantumsoftware.org.au/

AboutBTQ

BTQ was founded by a group of post-quantum cryptographers with an interest in addressing the urgent security threat posed by large-scale universal quantum computers. With the support of leading research institutes and universities, BTQ is combining software and hardware to safeguard critical networks using unique post-quantum services and solutions.

Connect with BTQ: Website|LinkedIn

ON BEHALF OF THE BOARD OF DIRECTORS

Olivier Roussy Newton CEO, Chairman

Neither the NEO nor its Regulation Services Provider accepts responsibility for the adequacy or accuracy of this release.

This news release does not constitute an offer to sell or a solicitation of an offer to buy nor shall there be any sale of any of the securities in any jurisdiction in which such offer, solicitation or sale would be unlawful, including any of the securities in the United States of America. The securities have not been and will not be registered under the United States Securities Act of 1933, as amended (the "1933 Act") or any state securities laws and may not be offered or sold within the United States or to, or for account or benefit of, U.S. Persons (as defined in Regulation S under the 1933 Act) unless registered under the 1933 Act and applicable state securities laws, or an exemption from such registration requirements is available.

Forward Looking Information

Certain statements herein contain forward-looking statements and forward-looking information within the meaning of applicable securities laws. Such forward-looking statements or information include but are not limited to statements or information with respect to the business plans of the Company, including with respect to its research partnerships, and anticipated markets in which the Company may be listing its common shares. Forward-looking statements or information often can be identified by the use of words such as "anticipate", "intend", "expect", "plan" or "may" and the variations of these words are intended to identify forward-looking statements and information.

The Company has made numerous assumptions including among other things, assumptions about general business and economic conditions, the development of post-quantum algorithms and quantum vulnerabilities, and the quantum computing industry generally. The foregoing list of assumptions is not exhaustive.

Although management of the Company believes that the assumptions made and the expectations represented by such statements or information are reasonable, there can be no assurance that forward-looking statements or information herein will prove to be accurate. Forward-looking statements and information are based on assumptions and involve known and unknown risks which may cause actual results to be materially different from any future results, expressed or implied, by such forward-looking statements or information. These factors include risks relating to: the availability of financing for the Company; business and economic conditions in the post-quantum and encryption computing industries generally; the speculative nature of the Company's research and development programs; the supply and demand for labour and technological post-quantum and encryption technology; unanticipated events related to regulatory and licensing matters and environmental matters; changes in general economic conditions or conditions in the financial markets; changes in laws (including regulations respecting blockchains); risks related to the direct and indirect impact of COVID-19 including, but not limited to, its impact on general economic conditions, the ability to obtain financing as required, and causing potential delays to research and development activities; and other risk factors as detailed from time to time. The Company does not undertake to update any forward-looking information, except in accordance with applicable securities laws.

SOURCE BTQ Technologies Corp.

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Microsoft and Quantinuum announce development of next-generation technology that reduces ‘noise’ by 800 times … – GIGAZINE

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Apr 04, 2024 12:08:00

Quantum computers, which are being developed for practical use in the future, are subject to the possibility of errors occurring in every step from setting the initial state of the qubit to reading the output at the time of article creation, greatly limiting what can be done. I am. On April 3, 2024, Microsoft and quantum computing company

Advancing science: Microsoft and Quantinuum demonstrate the most reliable logical qubits on record with an error rate 800x better than physical qubits - The Official Microsoft Blog https://blogs.microsoft.com/blog/2024/04/03/advancing-science-microsoft-and-quantinuum-demonstrate-the-most-reliable-logical-qubits-on-record-with-an-error- rate-800x-better-than-physical-qubits/

Quantinuum Partners with Microsoft in New Phase of Reliable Quantum Computing with Breakthrough Demonstration of Reliable Logical Qubits

How Microsoft and Quantinuum achieved reliable quantum computing - Microsoft Azure Quantum Blog https://cloudblogs.microsoft.com/quantum/2024/04/03/how-microsoft-and-quantinuum-achieved-reliable-quantum-computing/

Microsoft and Quantinuum say they've ushered in the next era of quantum computing | TechCrunch https://techcrunch.com/2024/04/03/microsoft-and-quantinuum-say-theyve-ushered-in-the-next-era-of-quantum-computing/

Quantum computers basically use qubits to store and process information. However, physical qubits are prone to errors due to noise, so Traditional quantum computers are severely limited in their usefulness and practicality. To reduce these errors, advanced techniques had to be used to combine multiple physical qubits into reliable virtual qubits called 'logical qubits.'

When you enable logical qubits, you can increase the number of physical qubits to create powerful quantum computers that can perform longer and more complex calculations.

Now, by combining Microsoft's qubit virtualization system and Quantinuum's H2 ion trap qubit processor with a unique quantum charge-coupled device architecture, 30 physical qubits can be reduced to four highly reliable logical qubits. I was able to successfully combine them. Combining multiple physical qubits into one logical qubit allows systems to be protected from errors. According to Microsoft, the new logical qubit was able to run 14,000 independent instances without a single error.

Furthermore, it has been revealed that these logical qubits only cause an error once per 100,000 executions, reducing the error rate to 1/800 of the conventional method using only physical qubits. that's right. According to Jennifer Strubley of Quantinuum, this achievement of ``reducing errors from physical qubits by 800 times'' is the lowest error rate ever.

Microsoft commented on this result, saying, ``Enabling the noise canceling feature of headphones while listening to music while eliminating most of the environmental noise is similar to applying a qubit virtualization system.'' 'Improving error rates is similar to the silence achieved with high-quality noise-canceling headphones.'

On the other hand, the research team revealed that this logical qubit is still in the development stage, saying, ``In order to surpass conventional quantum computers, we need to correct individual circuit errors and create quantum entanglement between at least two logical qubits.'' 'We need to further expand the difference in error rates between logical and physical qubits, as well as the ability to

Still, Microsoft CEO Satya Nadella said, 'This is an extremely exciting milestone on the path to realizing the scientific and commercial advances that come from reliable quantum computing.' Leave a comment of praise.

'These results are a historic achievement and a great reflection of how our collaboration with Microsoft continues to push the boundaries of the quantum ecosystem,' said Ilyas Khan, founder and chief product officer at Quantinnum. With Microsoft's cutting-edge error correction capabilities, coupled with the world's most powerful quantum computers and a fully integrated approach, we are very excited about the potential for further advances in quantum applications, especially at large scale. We can't wait to see how our customers and partners benefit from Quantinnum's solutions as we move to advanced quantum processors.'

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Microsoft and Quantinuum announce development of next-generation technology that reduces 'noise' by 800 times ... - GIGAZINE

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Quantinuum and Microsoft Leap towards Quantum Superiority with Noise Reduction Breakthrough – yTech

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Quantinuum in collaboration with Microsoft has made substantial progress in the field of quantum computing by dramatically decreasing quantum noise. This development is significant because it addresses a crucial hurdle in quantum computation: the errors caused by noise like temperature fluctuations, electromagnetic fields, and quantum decoherence. Overcoming these obstacles is essential if quantum computers are to outperform classical counterparts.

Describing the breakthrough, Quantinuum reported that their collaborative efforts with Microsoft have led to logical qubits with an exceptionally low error rate, suggesting that quantum advantage may be within closer reach than anticipated. Logical qubits, which are complex constructions made from several physical qubits, help in error detection and correction, and are a cornerstone of fault-tolerant quantum computing.

Microsoft, which has invested heavily in quantum technology, labels the achievement as Level 2 Resilient and is gearing up to integrate these advancements into Azure Quantum Elements for selective customers soon. Although it may still take an array of hundreds of logical qubits to achieve scientific strides and thousands for substantial commercial benefit, this milestone is setting the stage for that future.

Quantinuums statement highlighted over 14,000 successful experiments facilitated by Microsofts innovative qubit virtualization system, showcasing a remarkable stride in quantum computation.

In-field experts deem this advancement a significant stride beyond the NISQ (Noisy Intermediate-Scale Quantum) era, though direct commercial benefits for cloud customers are yet to be realized. The quest towards a functional quantum supercomputer continues, yet this feat shines as a beacon indicating the path forward, beyond the current quantum limitations.

Quantinuum and Microsofts Leap in Quantum Computing

Quantinuums collaboration with Microsoft represents a notable advancement in the quantum computing industry by making a significant dent in the problem of quantum noise. The reduction of noise is a fundamental step towards the realization of a full-scale quantum computer that could far surpass the capabilities of todays classical computers. The industry itself, which includes key players like IBM, Google, and startups around the globe, is focused on overcoming hurdles like quantum decoherence, error rates, and scalability.

In this rapidly evolving market, Quantinuum and Microsoft have showcased their pursuit of quantum advantagethe point at which quantum computers outperform classical computers on significant and useful problems. With logical qubits achieving exceptionally low error rates, they suggest the potential for practical applications is drawing nearer.

Industry Outlook and Market Forecasts

The global quantum computing market has been forecasted to grow exponentially in the coming years. Analysts project that the market size will reach into the billions by the end of the decade, driven by anticipated advancements and the growing need for superior computing power in fields such as cryptography, materials science, pharmaceuticals, and financial modeling.

Challenges and Issues

While the decrease in quantum noise is a step forward, the industry still faces numerous challenges. Building a quantum computer requires maintaining qubits in a coherent quantum state, which necessitates extremely low temperatures and sophisticated error correction algorithms. Logical qubits are a product of this complexity, signifying a form of quantum error correction thats essential for designing practical, fault-tolerant quantum computers.

Moreover, the quantum computing industry is not just about hardware; there are issues related to the development of quantum algorithms, standardization, and creating a quantum-skilled workforce. On top of these, maintaining cybersecurity in a quantum future is another concern that researchers and industry stakeholders are actively addressing, given the potential for quantum computers to break current encryption schemes.

Despite these challenges, the progression of quantum capabilities is a transformative prospect for computing-intensive tasks. Industries including pharmaceuticals, aerospace, energy, and finance are particularly poised to benefit from quantum advancements, should problems like error correction and quantum noise continue to be addressed effectively.

In the wake of such scientific endeavors, services like Azure Quantum Elements aim to provide a bridge between cutting-edge quantum development and commercial accessibility. Microsofts commitment to integrating quantum computing with its cloud platform resonates with the trend of providing quantum as a service (QaaS), which will likely be the initial mode of access for many businesses.

In conclusion, while the journey towards a fully operational quantum computer continues, the progress made by Quantinuum and Microsoft is a shining example of the positive trajectory that the industry is on. As more milestones are achieved, the reality of quantum computings impact on multiple sectors grows increasingly tangible.

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Quantinuum and Microsoft Leap towards Quantum Superiority with Noise Reduction Breakthrough - yTech

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