Monthly Archives: May 2021

Ongoing Development in Partnership with Industry and AcademiaThe challenges in developing functioning quantum computing systems are manifold and daunting. For example, qubits themselves are extremely fragile, with any disturbance including measurement causing them to revert from their quantum state to a classical (binary) one, resulting in data loss. Tangle Lake also must operate at profoundly cold temperatures, within a small fraction of one kelvin from absolute zero.

Moreover, there are significant issues of scale, with real-world implementations at commercial scale likely requiring at least one million qubits. Given that reality, the relatively large size of quantum processors is a significant limitation in its own right; for example, Tangle Lake is about three inches square. To address these challenges, Intel is actively developing design, modeling, packaging, and fabrication techniques to enable the creation of more complex quantum processors.

Intel began collaborating with QuTech, a quantum computing organization in the Netherlands, in 2015; that involvement includes a US$50M investment by Intel in QuTech to provide ongoing engineering resources that will help accelerate developments in the field. QuTech was created as an advanced research and education center for quantum computing by the Netherlands Organisation for Applied Research and the Delft University of Technology. Combined with Intels expertise in fabrication, control electronics, and architecture, this partnership is uniquely suited to the challenges of developing the first viable quantum computing systems.

Currently, Tangle Lake chips produced in Oregon are being shipped to QuTech in the Netherlands for analysis. QuTech has developed robust techniques for simulating quantum workloads as a means to address issues such as connecting, controlling, and measuring multiple, entangled qubits. In addition to helping drive system-level design of quantum computers, the insights uncovered through this work contribute to faster transition from design and fabrication to testing of future generations of the technology.

In addition to its collaboration with QuTech, Intel Labs is also working with other ecosystem members both on fundamental and system-level challenges on the entire quantum computing stack. Joint research being conducted with QuTech, the University of Toronto, the University of Chicago, and others builds upward from quantum devices to include mechanisms such as error correction, hardware- and software-based control mechanisms, and approaches and tools for developing quantum applications.

Beyond Superconduction: The Promise of Spin QubitsOne approach to addressing some of the challenges that are inherent to quantum processors such as Tangle Lake that are based on superconducting qubits is the investigation of spin qubits by Intel Labs and QuTech. Spin qubits function on the basis of the spin of a single electron in silicon, controlled by microwave pulses. Compared to superconducting qubits, spin qubits far more closely resemble existing semiconductor components operating in silicon, potentially taking advantage of existing fabrication techniques. In addition, this promising area of research holds the potential for advantages in the following areas:

Operating temperature:Spin qubits require extremely cold operating conditions, but to a lesser degree than superconducting qubits (approximately one degree kelvin compared to 20 millikelvins); because the difficulty of achieving lower temperatures increases exponentially as one gets closer to absolute zero, this difference potentially offers significant reductions in system complexity.

Stability and duration:Spin qubits are expected to remain coherent for far longer than superconducting qubits, making it far simpler at the processor level to implement them for algorithms.

Physical size:Far smaller than superconducting qubits, a billion spin qubits could theoretically fit in one square millimeter of space. In combination with their structural similarity to conventional transistors, this property of spin qubits could be instrumental in scaling quantum computing systems upward to the estimated millions of qubits that will eventually be needed in production systems.

To date, researchers have developed a spin qubit fabrication flow using Intels 300-millimeter process technology that is enabling the production of small spin-qubit arrays in silicon. In fact, QuTech has already begun testing small-scale spin-qubit-based quantum computer systems. As a publicly shared software foundation, QuTech has also developed the Quantum Technology Toolbox, a Python package for performing measurements and calibration of spin-qubits.

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Quantum Computing - Intel

Name a scientific breakthrough made in the last 50 years, and a computer probably played a role in it. Now, consider what sorts of breakthroughs may be possible with quantum computers.

These next-gen systems harness the weird physics of the subatomic world to complete computations far faster than classical computers, and that processing power promises to revolutionize everything from finance and healthcare to energy and aerospace.

But today's quantum computers are complex, expensive devices, not unlike those first gigantic modern computers a person can't exactly pop down to an electronics retailer to pick one up (not yet, anyways).

However, there is a way for us to get a taste of that future, today: cloud-based quantum computing.

Cloud computing is the delivery of computing resources data storage, processing power, software, etc. on-demand over the internet.

Today, there are countless cloud computing service providers, but a few of the biggest are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.

Amazon, Microsoft, and Google are massive companies, and their computing resources are equally expansive AWS alone offers more than 175 cloud computing services, supported by more than 100 data centers across the globe.

A person might never be able to buy the resources those companies own, but through cloud computing, they can essentially rent them, only paying for what they actually use.

A scientist, for example, could pay AWS for 10 hours of access to one of the company's powerful virtual computers to run an experiment, rather than spending far more money to buy a comparable system.

That's just one use, though, and there are countless real-world examples of people using cloud computing services. The shows you watch on Netflix? The company stores them in a database in the cloud. The emails in your Gmail inbox? They're in the cloud, too.

Cloud-based quantum computing combines the benefits of the cloud with the next generation of computers.

In 2016, IBM connected a small quantum computer to the cloud, giving people their first chance to create and run small programs on a quantum computer online.

Since then, IBM has expanded its cloud-based quantum computing offerings and other companies, including Amazon, have developed and launched their own services.

In 2019, Microsoft announced one such service, Azure Quantum, which includes access to quantum algorithms, hardware, and software. It made that service available to a small number of partners during a limited preview in May 2020.

"Azure Quantum enables every developer, every person, every enterprise to really tap in and succeed in their businesses and their endeavors with quantum solutions," Krysta Svore, the GM of Microsoft Quantum, said in 2019. "And that's incredibly powerful."

Now, Microsoft has expanded its Azure Quantum preview to the public, giving anyone with the funds access to the cutting-edge quantum resources.

Researchers at Case Western Reserve University have already used Microsoft's cloud-based quantum computing service to develop a way to improve the quality and speed of MRI scans for cancer.

Ford, meanwhile, is using it to try to solve the problem of traffic congestion.

Now that anyone can use the services, we could be seeing far more projects like these in the near future rather than years from now when quantum systems are (maybe) as accessible as classical computers are today.

We'd love to hear from you! If you have a comment about this article or if you have a tip for a future Freethink story, please email us at [emailprotected].

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Cloud-Based Quantum Computing, Explained | Freethink

Google is aiming to build a useful, error-corrected quantum computer by the end of the decade, the company explained in a blog post. The search giant hopes the technology will help solve a range of big problems like feeding the world and climate change to developing better medicines. To develop the technology, Google has unveiled a new Quantum AI campus in Santa Barbara containing a quantum data center, hardware research labs, and quantum processor chip fabrication facilities. It will spend billions developing the technology over the next decade, The Wall Street Journal reports.

The target announced at Google I/O on Tuesday comes a year and a half after Google said it had achieved quantum supremacy, a milestone where a quantum computer has performed a calculation that would be impossible on a traditional classical computer. Google says its quantum computer was able to perform a calculation in 200 seconds that would have taken 10,000 years or more on a traditional supercomputer. But competitors racing to build quantum computers of their own cast doubt on Googles claimed progress. Rather than taking 10,000 years, IBM argued at the time that a traditional supercomputer could actually perform the task in 2.5 days or less.

This extra processing power could be useful to simulate molecules, and hence nature, accurately, Google says. This might help us design better batteries, creating more carbon-efficient fertilizer, or develop more targeted medicines, because a quantum computer could run simulations before a company invests in building real-world prototypes. Google also expects quantum computing to have big benefits for AI development.

Despite claiming to have hit the quantum supremacy milestone, Google says it has a long way to go before such computers are useful. While current quantum computers are made up of less than 100 qubits, Google is targeting machine built with 1,000,000. Getting there is a multistage process. Google says it first needs to cut down on the errors qubits make, before it can think about building 1,000 physical qubits together into a single logical qubit. This will lay the groundwork for the quantum transistor, a building block of future quantum computers.

Despite the challenges ahead, Google is optimistic about its chances. We are at this inflection point, the scientist in charge of Googles Quantum AI program, Hartmut Neven, told the Wall Street Journal, We now have the important components in hand that make us confident. We know how to execute the road map. Googles eventually plans to offer quantum computing services over the cloud.

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Google wants to build a useful quantum computer by 2029 - The Verge

circa 1931: German-born physicist Albert Einstein (1879 - 1955) standing beside a blackboard with ... [+] chalk-marked mathematical calculations written across it. (Photo by Hulton Archive/Getty Images)

40 years ago, Nobel Prize-winner Richard Feynman argued that nature isn't classical, dammit, and if you want to make a simulation of nature, you'd better make it quantum mechanical. This was later perceived as a rallying cry for developing a quantum computer, leading to todays rapid progress in the search for quantum supremacy. Heres a very short history of the evolution of quantum computing.

1905Albert Einstein explains the photoelectric effectshining light on certain materials can function to release electrons from the materialand suggests that light itself consists of individual quantum particles or photons.

1924The term quantum mechanics is first used in a paper by Max Born

1925Werner Heisenberg, Max Born, and Pascual Jordan formulate matrix mechanics, the first conceptually autonomous and logically consistent formulation of quantum mechanics

1925 to 1927Niels Bohr and Werner Heisenberg develop the Copenhagen interpretation, one of the earliest interpretations of quantum mechanics which remains one of the most commonly taught

1930Paul Dirac publishes The Principles of Quantum Mechanics, a textbook that has become a standard reference book that is still used today

1935Albert Einstein, Boris Podolsky, and Nathan Rosen publish a paper highlighting the counterintuitive nature of quantum superpositions and arguing that the description of physical reality provided by quantum mechanics is incomplete

1935Erwin Schrdinger, discussing quantum superposition with Albert Einstein and critiquing the Copenhagen interpretation of quantum mechanics, develops a thought experiment in which a cat (forever known as Schrdingers cat) is simultaneously dead and alive; Schrdinger also coins the term quantum entanglement

1947Albert Einstein refers for the first time to quantum entanglement as spooky action at a distance in a letter to Max Born

1976Roman Stanisaw Ingarden of the Nicolaus Copernicus University in Toru, Poland, publishes one of the first attempts at creating a quantum information theory

1980Paul Benioff of the Argonne National Laboratory publishes a paper describing a quantum mechanical model of a Turing machine or a classical computer, the first to demonstrate the possibility of quantum computing

1981In a keynote speech titled Simulating Physics with Computers, Richard Feynman of the California Institute of Technology argues that a quantum computer had the potential to simulate physical phenomena that a classical computer could not simulate

1985David Deutsch of the University of Oxford formulates a description for a quantum Turing machine

1992The DeutschJozsa algorithm is one of the first examples of a quantum algorithm that is exponentially faster than any possible deterministic classical algorithm

1993The first paper describing the idea of quantum teleportation is published

1994Peter Shor of Bell Laboratories develops a quantum algorithm for factoring integers that has the potential to decrypt RSA-encrypted communications, a widely-used method for securing data transmissions

1994The National Institute of Standards and Technology organizes the first US government-sponsored conference on quantum computing

1996Lov Grover of Bell Laboratories invents the quantum database search algorithm

1998First demonstration of quantum error correction; first proof that a certain subclass of quantum computations can be efficiently emulated with classical computers

1999Yasunobu Nakamura of the University of Tokyo and Jaw-Shen Tsai of Tokyo University of Science demonstrate that a superconducting circuit can be used as a qubit

2002The first version of the Quantum Computation Roadmap, a living document involving key quantum computing researchers, is published

2004First five-photon entanglement demonstrated by Jian-Wei Pan's group at the University of Science and Technology in China

2011The first commercially available quantum computer is offered by D-Wave Systems

2012 1QB Information Technologies (1QBit), the first dedicated quantum computing software company, is founded

2014Physicists at the Kavli Institute of Nanoscience at the Delft University of Technology, The Netherlands, teleport information between two quantum bits separated by about 10 feet with zero percent error rate

2017 Chinese researchers report the first quantum teleportation of independent single-photon qubits from a ground observatory to a low Earth orbit satellite with a distance of up to 1400 km

2018The National Quantum Initiative Act is signed into law by President Donald Trump, establishing the goals and priorities for a 10-year plan to accelerate the development of quantum information science and technology applications in the United States

2019Google claims to have reached quantum supremacy by performing a series of operations in 200 seconds that would take a supercomputer about 10,000 years to complete; IBM responds by suggesting it could take 2.5 days instead of 10,000 years, highlighting techniques a supercomputer may use to maximize computing speed

The race for quantum supremacy is on, to being able to demonstrate a practical quantum device that can solve a problem that no classical computer can solve in any feasible amount of time. Speedand sustainabilityhas always been the measure of the jump to the next stage of computing.

In 1944, Richard Feynman, then a junior staff member at Los Alamos, organized a contest between human computers and the Los Alamos IBM facility, with both performing a calculation for the plutonium bomb. For two days, the human computers kept up with the machines. But on the third day, recalled an observer, the punched-card machine operation began to move decisively ahead, as the people performing the hand computing could not sustain their initial fast pace, while the machines did not tire and continued at their steady pace (seeWhen Computers Were Human, by David Alan Greer).

Nobel Prize winning physicist Richard Feynman stands in front of a blackboard strewn with notation ... [+] in his lab in Los Angeles, Californina. (Photo by Kevin Fleming/Corbis via Getty Images)

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27 Milestones In The History Of Quantum Computing - Forbes

Calculating exactly how energy redistributes during a reaction between four atoms is beyond the power of todays best computers, Ni said. A quantum computer might be the only tool that could one day achieve such a complex calculation.

In the meantime, calculating the impossible requires a few well-reasoned assumptions and approximations (picking one location for one of those electrons, for example) and specialized techniques that grant Ni and her team ultimate control over their reaction.

One such technique was another recent Ni lab discovery: She and her team exploited a reliable feature of molecules their highly stable nuclear spin to control the quantum state of the reacting molecules all the way through to the product, work they chronicled in a recent study published in Nature Chemistry. They also discovered a way to detect products from a single collision reaction event, a difficult feat when 10,000 molecules could be reacting simultaneously. With these two novel methods, the team could identify the unique spectrum and quantum state of each product molecule, the kind of precise control necessary to measure all 57 pathways their potassium rubidium reaction could take.

Over several months during the COVID-19 pandemic, the team ran experiments to collect data on each of those 57 possible reaction channels, repeating each channel once every minute for several days before moving on to the next. Luckily, once the experiment was set up, it could be run remotely: Lab members could stay home, keeping the lab re-occupancy at COVID-19 standards, while the system churned on.

The test, said Matthew Nichols, a postdoctoral scholar in the Ni lab and an author on both papers, indicates good agreement between the measurement and the model for a subset containing 50 state-pairs but reveals significant deviations in several state-pairs.

In other words, their experimental data confirmed that previous predictions based on statistical theory (one far less complex than Schrdingers equation) are accurate mostly. Using their data, the team could measure the probability that their chemical reaction would take each of the 57 reaction channels. Then, they compared their percentages with the statistical model. Only seven of the 57 showed a significant enough divergence to challenge the theory.

We have data that pushes this frontier, Ni said. To explain the seven deviating channels, we need to calculate Schrdingers equation, which is still impossible. So now, the theory has to catch up and propose new ways to efficiently perform such exact quantum calculations.

Next, Ni and her team plan to scale back their experiment and analyze a reaction between only three atoms (one molecule is made of two atoms, which is then forced to react with a single atom). In theory, this reaction, which has far fewer dimensions than a four-atom reaction, should be easier to calculate and study in the quantum realm. Yet, already, the team has discovered something strange: The intermediate phase of the reaction lives on for many orders of magnitude longer than the theory predicts.

There is already mystery, Ni said. Its up to the theorists now.

This work was supported by the Department of Energy, the David and Lucile Packard Foundation, the Arnold O. Beckman Postdoctoral Fellowship in Chemical Sciences, and the National Natural Science Foundation of China.

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Researchers design new experiments to map and test the quantum realm - Harvard Gazette

TORONTO, May 13, 2021 Agnostiq, Inc., a new quantum computing SaaS startup, has raised $2 million in seed funding to support the continued development of its software platform. The growth financing is led by Differential Ventures, with follow-on participation from Scout Ventures, Tensility Venture Partners, Boost VC, and Green Egg Ventures. The company previously raised $830 thousand in pre-Seed funding, with the majority coming from current investors Differential Ventures and Boost VC.

Quantum computers are inevitable, and their game-changing nature makes it imperative that businesses invest in developing in-house expertise, says David Magerman, managing partner of Differential Ventures. Agnostiqs tools address key challenges when it comes to developing proprietary research in the space, which is ultimately what led us to invest.

Co-founded by CEO Oktay Goktas and COO Elliot MacGowan in 2018, the duo aims to build a company at the forefront of enterprise quantum computing. Goktas, a physicist by training, received his PhD from the Max-Planck-Institute in Stuttgart, Germany where he worked under the supervision of Nobel laureate Klaus von Klitzing. Prior to founding Agnostiq, Goktas was a postdoctoral researcher at the Weizmann Institute of Science in Israel and a visiting researcher at the University of Toronto. Prior to Agnostiq, MacGowan worked at Bell Canada in various operational and strategic roles. He received his MBA from the University of Toronto.

We are extremely excited to further strengthen our relationship with David and officially have him on our board. With this new funding and our new partners, we are going to bring our products to the next level, says Goktas.

Quantum computing is poised to have a transformative impact in the coming years, much like machine learning. But, it remains largely inaccessible to the enterprise, due mainly to the novelty of the technology and the high level of expertise required to build applications. In addition, quantum computing is entirely cloud based and vulnerable to traditional security threats, requiring new methods for data security.

One of only a handful of available SaaS-based quantum solutions hosted on the cloud, Agnostiqs platform is comprised of three main technologies that make it easier for enterprises to build their own quantum computing applications:

Our goal is to help clients build quantum computing into their workflows sooner by making it more practical, more accessible, and more secure, says MacGowan. Were solving many of the biggest challenges that machine learning companies faced in the past ten years and that we all take for granted today.

ABOUT AGNOSTIQ, INC.:

Agnostiq, Inc. is an interdisciplinary team of physicists, computer scientists, and mathematicians with the shared aim of using cutting edge technology to build practical applications for industry. The company combines best-in-class quantum applications, privacy tools, and support for all of the latest quantum hardware into a powerful and easy-to-use platform designed to help organizations solve mission critical tasks. Learn more at http://www.agnostiq.ai.

Source: AGNOSTIQ, INC.

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Agnostiq Secures $2M Seed Round to Further Develop SaaS-based Quantum Solutions - HPCwire

DUBLIN, May 18, 2021 /PRNewswire/ -- The "Quantum Technology Market by Computing, Communications, Imaging, Security, Sensing, Modeling and Simulation 2021 - 2026" report has been added to ResearchAndMarkets.com's offering.

This report provides a comprehensive analysis of the quantum technology market. It assesses companies/organizations focused on quantum technology including R&D efforts and potential gaming-changing quantum tech-enabled solutions. The report evaluates the impact of quantum technology upon other major technologies and solution areas including AI, Edge Computing, Blockchain, IoT, and Big Data Analytics. The report provides an analysis of quantum technology investment, R&D, and prototyping by region and within each major country globally.

The report also provides global and regional forecasts as well as the outlook for quantum technology's impact on embedded hardware, software, applications, and services from 2021 to 2026. The report provides conclusions and recommendations for a wide range of industries and commercial beneficiaries including semiconductor companies, communications providers, high-speed computing companies, artificial intelligence vendors, and more.

Select Report Findings:

Much more than only computing, the quantum technology market provides a foundation for improving all digital communications, applications, content, and commerce. In the realm of communications, quantum technology will influence everything from encryption to the way that signals are passed from point A to point B. While currently in the R&D phase, networked quantum information and communications technology (ICT) is anticipated to become a commercial reality that will represent nothing less than a revolution for virtually every aspect of ICT.

However, there will be a need to integrate the ICT supply chain with quantum technologies in a manner that does not attempt to replace every aspect of classical computing but instead leverages a hybrid computational framework. Traditional High-Performance Computing (HPC) will continue to be used for many existing problems for the foreseeable future, while quantum technologies will be used for encrypting communications, signaling, and will be the underlying basis in the future for all commerce transactions. This does not mean that quantum encryption will replace Blockchain, but rather provide improved encryption for blockchain technology.

The quantum technology market will be a substantial enabler of dramatically improved sensing and instrumentation. For example, gravity sensors may be made significantly more precise through quantum sensing. Quantum electromagnetic sensing provides the ability to detect minute differences in the electromagnetic field. This will provide a wide-ranging number of applications, such as within the healthcare arena wherein quantum electromagnetic sensing will provide the ability to provide significantly improved mapping of vital organs. Quantum sensing will also have applications across a wide range of other industries such as transportation wherein there is the potential for substantially improved safety, especially for self-driving vehicles.

Commercial applications for the quantum imaging market are potentially wide-ranging including exploration, monitoring, and safety. For example, gas image processing may detect minute changes that could lead to early detection of tank failure or the presence of toxic chemicals. In concert with quantum sensing, quantum imaging may also help with various public safety-related applications such as search and rescue. Some problems are too difficult to calculate but can be simulated and modeled. Quantum simulations and modeling is an area that involves the use of quantum technology to enable simulators that can model complex systems that are beyond the capabilities of classical HPC. Even the fastest supercomputers today cannot adequately model many problems such as those found in atomic physics, condensed-matter physics, and high-energy physics.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction

3.0 Quantum Technology and Application Analysis3.1 Quantum Computing3.2 Quantum Cryptography Communication3.3 Quantum Sensing and Imaging3.4 Quantum Dots Particles3.5 Quantum Cascade Laser3.6 Quantum Magnetometer3.7 Quantum Key Distribution3.8 Quantum Cloud vs. Hybrid Platform3.9 Quantum 5G Communication3.10 Quantum 6G Impact3.11 Quantum Artificial Intelligence3.12 Quantum AI Technology3.13 Quantum IoT Technology3.14 Quantum Edge Network3.15 Quantum Blockchain

4.0 Company Analysis4.1 1QB Information Technologies Inc.4.2 ABB (Keymile)4.3 Adtech Optics Inc.4.4 Airbus Group4.5 Akela Laser Corporation4.6 Alibaba Group Holding Limited4.7 Alpes Lasers SA4.8 Altairnano4.9 Amgen Inc.4.10 Anhui Qasky Science and Technology Limited Liability Company (Qasky)4.11 Anyon Systems Inc.4.12 AOSense Inc.4.13 Apple Inc. (InVisage Technologies)4.14 Biogen Inc.4.15 Block Engineering4.16 Booz Allen Hamilton Inc.4.17 BT Group4.18 Cambridge Quantum Computing Ltd.4.19 Chinese Academy of Sciences4.20 D-Wave Systems Inc.4.21 Emerson Electric Corporation4.22 Fujitsu Ltd.4.23 Gem Systems4.24 GeoMetrics Inc.4.25 Google Inc.4.26 GWR Instruments Inc.4.27 Hamamatsu Photonics K.K.4.28 Hewlett Packard Enterprise4.29 Honeywell International Inc.4.30 HP Development Company L.P.4.31 IBM Corporation4.32 ID Quantique4.33 Infineon Technologies4.34 Intel Corporation4.35 KETS Quantum Security4.36 KPN4.37 LG Display Co. Ltd.4.38 Lockheed Martin Corporation4.39 MagiQ Technologies Inc.4.40 Marine Magnetics4.41 McAfee LLC4.42 MicroSemi Corporation4.43 Microsoft Corporation4.44 Mirsense4.45 Mitsubishi Electric Corp.4.46 M-Squared Lasers Limited4.47 Muquans4.48 Nanoco Group PLC4.49 Nanoplus Nanosystems and Technologies GmbH4.50 Nanosys Inc.4.51 NEC Corporation4.52 Nippon Telegraph and Telephone Corporation4.53 NN-Labs LLC.4.54 Nokia Corporation4.55 Nucrypt4.56 Ocean NanoTech LLC4.57 Oki Electric4.58 Oscilloquartz SA4.59 OSRAM4.60 PQ Solutions Limited (Post-Quantum)4.61 Pranalytica Inc.4.62 QC Ware Corp.4.63 QD Laser Co. Inc.4.64 QinetiQ4.65 Quantum Circuits Inc.4.66 Quantum Materials Corp.4.67 Qubitekk4.68 Quintessence Labs4.69 QuSpin4.70 QxBranch LLC4.71 Raytheon Company4.72 Rigetti Computing4.73 Robert Bosch GmbH4.74 Samsung Electronics Co. Ltd. (QD Vision Inc.)4.75 SeQureNet (Telecom ParisTech)4.76 SK Telecom4.77 ST Microelectronics4.78 Texas Instruments4.79 Thorlabs Inc4.80 Toshiba Corporation4.81 Tristan Technologies4.82 Twinleaf4.83 Universal Quantum Devices4.84 Volkswagen AG4.85 Wavelength Electronics Inc.4.86 ZTE Corporation

5.0 Quantum Technology Market Analysis and Forecasts 2021 - 20265.1 Global Quantum Technology Market 2021 - 20265.2 Global Quantum Technology Market by Technology 2021 - 20265.3 Quantum Computing Market 2021 - 20265.4 Quantum Cryptography Communication Market 2021 - 20265.5 Quantum Sensing and Imaging Market 2021 - 20265.6 Quantum Dots Market 2021 - 20265.7 Quantum Cascade Laser Market 2021 - 20265.8 Quantum Magnetometer Market 2021 - 20265.9 Quantum Key Distribution Market 2021 - 20265.9.1 Global Quantum Key Distribution Market by Technology5.9.1.1 Global Quantum Key Distribution Market by Infrastructure Type5.9.2 Global Quantum Key Distribution Market by Industry Vertical5.9.2.1 Global Quantum Key Distribution (QKD) Market by Government5.9.2.2 Global Quantum Key Distribution Market by Enterprise/Civilian Industry5.10 Global Quantum Technology Market by Deployment5.11 Global Quantum Technology Market by Sector5.12 Global Quantum Technology Market by Connectivity5.13 Global Quantum Technology Market by Revenue Source5.14 Quantum Intelligence Market 2021 - 20265.15 Quantum IoT Technology Market 2021 - 20265.16 Global Quantum Edge Network Market5.17 Global Quantum Blockchain Market5.18 Global Quantum Exascale Computing Market5.19 Regional Quantum Technology Market 2021 - 20265.19.1 Regional Comparison of Global Quantum Technology Market5.19.2 Global Quantum Technology Market by Region5.19.2.1 North America Quantum Technology Market by Country5.19.2.2 Europe Quantum Technology Market by Country5.19.2.3 Asia Pacific Quantum Technology Market by Country5.19.2.4 Middle East and Africa Quantum Technology Market by Country5.19.2.5 Latin America Quantum Technology Market by Country

6.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/6syb13

Media Contact:

Research and Markets Laura Wood, Senior Manager [emailprotected]

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The Worldwide Quantum Technology Industry will Reach $31.57 Billion by 2026 - North America to be the Biggest Region - PRNewswire

Researchers have used a technique similar to MRI to follow the movement of individual atoms in real time as they cluster together to form two-dimensional materials, which are a single atomic layer thick.

The results, reported in the journalPhysical Review Letters, could be used to design new types of materials and quantum technology devices. The researchers, from the University of Cambridge, captured the movement of the atoms at speeds that are eight orders of magnitude too fast for conventional microscopes.

Two-dimensional materials, such as graphene, have the potential to improve the performance of existing and new devices, due to their unique properties, such as outstanding conductivity and strength. Two-dimensional materials have a wide range of potential applications, from bio-sensing and drug delivery to quantum information and quantum computing. However, in order for two-dimensional materials to reach their full potential, their properties need to be fine-tuned through a controlled growth process.

This technique isnt a new one, but its never been used in this way, to measure the growth of a two-dimensional material. Nadav Avidor

These materials normally form as atoms jump onto a supporting substrate until they attach to a growing cluster. Being able to monitor this process gives scientists much greater control over the finished materials. However, for most materials, this process happens so quickly and at such high temperatures that it can only be followed using snapshots of a frozen surface, capturing a single moment rather than the whole process.

Now, researchers from the University of Cambridge have followed the entire process in real time, at comparable temperatures to those used in industry.

The researchers used a technique known as helium spin-echo, which has been developed in Cambridge over the last 15 years. The technique has similarities to magnetic resonance imaging (MRI), but uses a beam of helium atoms to illuminate a target surface, similar to light sources in everyday microscopes.

Using this technique, we can do MRI-like experiments on the fly as the atoms scatter, said Dr Nadav Avidor from Cambridges Cavendish Laboratory, the papers senior author. If you think of a light source that shines photons on a sample, as those photons come back to your eye, you can see what happens in the sample.

Instead of photons however, Avidor and his colleagues use helium atoms to observe what happens on the surface of the sample. The interaction of the helium with atoms at the surface allows the motion of the surface species to be inferred.

Using a test sample of oxygen atoms moving on the surface of ruthenium metal, the researchers recorded the spontaneous breaking and formation of oxygen clusters, just a few atoms in size, and the atoms that quickly diffuse between the clusters.

This technique isnt a new one, but its never been used in this way, to measure the growth of a two-dimensional material, said Avidor. If you look back on the history of spectroscopy, light-based probes revolutionized how we see the world, and the next step electron-based probes allowed us to see even more.

Were now going another step beyond that, to atom-based probes, allowing us to observe more atomic scale phenomena. Besides its usefulness in the design and manufacture of future materials and devices, Im excited to find out what else well be able to see.

Reference: Ultrafast Diffusion at the Onset of Growth: O/Ru(0001) by Jack Kelsall, Peter S.M. Townsend, John Ellis, Andrew P. Jardine and Nadav Avidor, 12 April 2021, Physical Review Letters.DOI: 10.1103/PhysRevLett.126.155901

The research was conducted in the Cambridge Atom Scattering Centre and supported by the Engineering and Physical Sciences Research Council (EPSRC).

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Following Atoms in Real Time Could Lead to New Types of Materials and Quantum Technology Devices - SciTechDaily