Category Archives: Quantum Computer
From 2023 to 2031, the Quantum Processing Units (QPU) Market to … – InvestorsObserver
From 2023 to 2031, the Quantum Processing Units (QPU) Market to witness Stellar Growth of 40.5% CAGR, reaching US$ 13.1 billion: TMR Report
Wilmington, Delaware, United States, June 27, 2023 (GLOBE NEWSWIRE) -- Transparency Market Research Inc. - The global quantum processing units (QPU) market is slated to register astronomical growth, registering a CAGR of 41.7 % from 2023 to 2031. By the end of the aforementioned forecast period, the market is poised to reach a valuation of US$ 13.1 billion.
A quantum processing unit (QPU) is a real-world or simulated processor with a collection of linked qubits that can be used to manipulate quantum algorithms. It serves as the brain of a quantum computer or simulator.
QPU offers significant advantages while executing certain tasks such as simulating quantum systems and tackling complex optimization problems. However, large-scale qubits and superior QPUs are necessary to reap these advantages. Therefore, study and development of high-performance QPU is one of the crucial objectives of quantum computing.
Quantum computing, AI, and hybrid cloud technologies are used to detect tumors at an early stage and enhance the development of targeted drugs, thus leading to notable advancements in the field of pharmacology. These systems facilitate the swift identification of alterations and abnormalities by enabling clinicians to conveniently review CT scans over time.
In March 2023, IBM installed an on-site IBM-managed quantum computer at Cleveland Clinic in the United States. It was installed for healthcare research to help Cleveland Clinic accelerate biomedical discoveries. Hence, increase in usage of quantum computing and other advanced computing technologies is expected to spur the Quantum Processing Units (QPU) market growth in the near future.
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From 2023 to 2031, the Quantum Processing Units (QPU) Market to ... - InvestorsObserver
Iran’s ‘Quantum’ Computer is Apparently Powered by an Arm Development Board – Tom’s Hardware
Last week, Iran's Rear Admiral Habibollah Sayyari stunned the quantum computing world by claiming the country had already developed and deployed quantum computing products to aid its military operations. But it now seems there was quite a bit less quantum involved than claimed. It seems the quantum computing board showcased by the Rear Admiral just last week had zero quantum computing in it and 100% of an Amazon-available ARM-based development board (ZedBoard), built by US-based Digilent.
Oh, the irony.
Read Admiral Habibollah Sayyari, Coordinating Deputy of the IR Army and the former Commander of the Iranian Navy, posed for photographs with other high-ranking military officials while claiming the newly-designed quantum computing board brought the country's capabilities towards the cutting edge. Namely, it was claimed that quantum computing was already being deployed by the Iranian military to "counter navigation deception in detecting surface vessels using the quantum algorithms."
Every company and state (and their mothers) seem keen to show off their quantum computing capabilities. This is an understandable stance; quantum computing is expected to be the "next big thing" in computing (even though the ChatGPTs and AI advancements of the world have been eclipsing quantum in the population's mind). Considering quantum computing's implications on communications security, cryptography, and many other crucial technological areas, it's expected that certain actors flex their quantum muscles towards opponents - it's both a deterrent and a claim of technological superiority.
Of course, stunts such as these do sometimes bite back; Persian media has already ridiculed the move, which has had the unintended side-effect of showcasing just how behind the quantum curve Iran really is: so much so that a gold plaque can be made for a 700, dual-core, DDR3-toting development board. It seems that the Iranian government did manage to get some quantum onto its announcement, considering how its narrative has decohered. But that's not usually the intention of making quantum computing-related announcements, is it?
For now, it seems that users looking for an over-the-counter quantum computing experience will still have to settle for SpinQ's education-aimed "Quantops." Those at least allow you to simulate qubits, which still is 100% more of them than available on Iran's ZedBoard.
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Iran's 'Quantum' Computer is Apparently Powered by an Arm Development Board - Tom's Hardware
Quantum Computing Advance Begins New Era, IBM Says – The New York Times
Quantum computers today are small in computational scope the chip inside your smartphone contains billions of transistors while the most powerful quantum computer contains a few hundred of the quantum equivalent of a transistor. They are also unreliable. If you run the same calculation over and over, they will most likely churn out different answers each time.
But with their intrinsic ability to consider many possibilities at once, quantum computers do not have to be very large to tackle certain prickly problems of computation, and on Wednesday, IBM researchers announced that they had devised a method to manage the unreliability in a way that would lead to reliable, useful answers.
What IBM showed here is really an amazingly important step in that direction of making progress towards serious quantum algorithmic design, said Dorit Aharonov, a professor of computer science at the Hebrew University of Jerusalem who was not involved with the research.
While researchers at Google in 2019 claimed that they had achieved quantum supremacy a task performed much more quickly on a quantum computer than a conventional one IBMs researchers say they have achieved something new and more useful, albeit more modestly named.
Were entering this phase of quantum computing that I call utility, said Jay Gambetta, a vice president of IBM Quantum. The era of utility.
A team of IBM scientists who work for Dr. Gambetta described their results in a paper published on Wednesday in the journal Nature.
Present-day computers are called digital, or classical, because they deal with bits of information that are either 1 or 0, on or off. A quantum computer performs calculations on quantum bits, or qubits, that capture a more complex state of information. Just as a thought experiment by the physicist Erwin Schrdinger postulated that a cat could be in a quantum state that is both dead and alive, a qubit can be both 1 and 0 simultaneously.
That allows quantum computers to make many calculations in one pass, while digital ones have to perform each calculation separately. By speeding up computation, quantum computers could potentially solve big, complex problems in fields like chemistry and materials science that are out of reach today. Quantum computers could also have a darker side by threatening privacy through algorithms that break the protections used for passwords and encrypted communications.
When Google researchers made their supremacy claim in 2019, they said their quantum computer performed a calculation in 3 minutes 20 seconds that would take about 10,000 years on a state-of-the-art conventional supercomputer.
But some other researchers, including those at IBM, discounted the claim, saying the problem was contrived. Googles experiment, as impressive it was, and it was really impressive, is doing something which is not interesting for any applications, said Dr. Aharonov, who also works as the chief scientific officer of Qedma, a quantum computing company.
The Google computation also turned out to be less impressive than it first appeared. A team of Chinese researchers was able to perform the same calculation on a non-quantum supercomputer in just over five minutes, far quicker than the 10,000 years the Google team had estimated.
The IBM researchers in the new study performed a different task, one that interests physicists. They used a quantum processor with 127 qubits to simulate the behavior of 127 atom-scale bar magnets tiny enough to be governed by the spooky rules of quantum mechanics in a magnetic field. That is a simple system known as the Ising model, which is often used to study magnetism.
This problem is too complex for a precise answer to be calculated even on the largest, fastest supercomputers.
On the quantum computer, the calculation took less than a thousandth of a second to complete. Each quantum calculation was unreliable fluctuations of quantum noise inevitably intrude and induce errors but each calculation was quick, so it could be performed repeatedly.
Indeed, for many of the calculations, additional noise was deliberately added, making the answers even more unreliable. But by varying the amount of noise, the researchers could tease out the specific characteristics of the noise and its effects at each step of the calculation.
We can amplify the noise very precisely, and then we can rerun that same circuit, said Abhinav Kandala, the manager of quantum capabilities and demonstrations at IBM Quantum and an author of the Nature paper. And once we have results of these different noise levels, we can extrapolate back to what the result would have been in the absence of noise.
In essence, the researchers were able to subtract the effects of noise from the unreliable quantum calculations, a process they call error mitigation.
You have to bypass that by inventing very clever ways to mitigate the noise, Dr. Aharonov said. And this is what they do.
Altogether, the computer performed the calculation 600,000 times, converging on an answer for the overall magnetization produced by the 127 bar magnets.
But how good was the answer?
For help, the IBM team turned to physicists at the University of California, Berkeley. Although an Ising model with 127 bar magnets is too big, with far too many possible configurations, to fit in a conventional computer, classical algorithms can produce approximate answers, a technique similar to how compression in JPEG images throws away less crucial data to reduce the size of the file while preserving most of the images details.
Michael Zaletel, a physics professor at Berkeley and an author of the Nature paper, said that when he started working with IBM, he thought his classical algorithms would do better than the quantum ones.
It turned out a little bit differently than I expected, Dr. Zaletel said.
Certain configurations of the Ising model can be solved exactly, and both the classical and quantum algorithms agreed on the simpler examples. For more complex but solvable instances, the quantum and classical algorithms produced different answers, and it was the quantum one that was correct.
Thus, for other cases where the quantum and classical calculations diverged and no exact solutions are known, there is reason to believe that the quantum result is more accurate, said Sajant Anand, a graduate student at Berkeley who did much of the work on the classical approximations.
It is not clear that quantum computing is indisputably the winner over classical techniques for the Ising model.
Mr. Anand is currently trying to add a version of error mitigation for the classical algorithm, and it is possible that could match or surpass the performance of the quantum calculations.
Its not obvious that theyve achieved quantum supremacy here, Dr. Zaletel said.
In the long run, quantum scientists expect that a different approach, error correction, will be able to detect and correct calculation mistakes, and that will open the door for quantum computers to speed ahead for many uses.
Error correction is already used in conventional computers and data transmission to fix garbles. But for quantum computers, error correction is likely years away, requiring better processors able to process many more qubits.
Error mitigation, the IBM scientists believe, is an interim solution that can be used now for increasingly complex problems beyond the Ising model.
This is one of the simplest natural science problems that exists, Dr. Gambetta said. So its a good one to start with. But now the question is, how do you generalize it and go to more interesting natural science problems?
Those might include figuring out the properties of exotic materials, accelerating drug discovery and modeling fusion reactions.
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Quantum Computing Advance Begins New Era, IBM Says - The New York Times
Intel’s New Chip to Advance Silicon Spin Qubit Research for Quantum Computing – Investor Relations :: Intel Corporation (INTC)
A schematic representation shows an electron under 12-qubit quantum dot gates. Fabricated on 300-millimeter wafers, Tunnel Falls leverages Intels most advanced transistor fabrication capabilities, such as extreme ultraviolet lithography (EUV) and advanced materials processing techniques. This makes the chip a single electron transistor and allows Intel to fabricate Tunnel Falls with few changes to a standard complementary metal oxide semiconductor (CMOS) logic processing line. (Credit: Intel Corporation)
A photo shows one of Intel's Tunnel Falls chips on a human finger to display its scale. Silicon spin qubits are up to 1 million times smaller than other qubit types. The Tunnel Falls chip measures approximately 50-nanometers square, potentially allowing for faster scaling. (Credit: Intel Corporation)
A photo shows a magnified view of Intel's Tunnel Falls chip. Tunnel Falls provides a 95% yield rate across the wafer and voltage uniformity similar to a CMOS logic process. A wafer provides 24,000 quantum dot test chips with a 99.8% yield tuned at the single electron level. These 12-dot chips can form between four to 12 qubits that can be isolated and used in operations simultaneously depending on how a university or lab operates its systems. (Credit: Intel Corporation)
A photo shows the Intel Tunnel Falls chip in packaging. Tunnel Falls is the first silicon spin qubit device released to research institutes and universities. It is fabricated on 300-millimeter wafers and leverages Intels most advanced transistor fabrication capabilities. (Credit: Intel Corporation)
Intel makes new quantum chip available to university and federal research labs to grow the quantum computing research community.
SANTA CLARA, Calif.--(BUSINESS WIRE)--Whats New: Today, Intel announced the release of its newest quantum research chip, Tunnel Falls, a 12-qubit silicon chip, and it is making the chip available to the quantum research community. In addition, Intel is collaborating with the Laboratory for Physical Sciences (LPS) at the University of Maryland, College Parks Qubit Collaboratory (LQC), a national-level Quantum Information Sciences (QIS) Research Center, to advance quantum computing research.
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A photo shows one of Intel's Tunnel Falls chips on a human finger to display its scale. Silicon spin qubits are up to 1 million times smaller than other qubit types. The Tunnel Falls chip measures approximately 50-nanometers square, potentially allowing for faster scaling. (Credit: Intel Corporation)
Tunnel Falls is Intels most advanced silicon spin qubit chip to date and draws upon the companys decades of transistor design and manufacturing expertise. The release of the new chip is the next step in Intels long-term strategy to build a full-stack commercial quantum computing system. While there are still fundamental questions and challenges that must be solved along the path to a fault-tolerant quantum computer, the academic community can now explore this technology and accelerate research development.Jim Clarke, director of Quantum Hardware, Intel
Why It Matters: Currently, academic institutions dont have high-volume manufacturing fabrication equipment like Intel. With Tunnel Falls, researchers can immediately begin working on experiments and research instead of trying to fabricate their own devices. As a result, a wider range of experiments become possible, including learning more about the fundamentals of qubits and quantum dots and developing new techniques for working with devices with multiple qubits.
To further address this, Intel is collaborating with LQC as part of the Qubits for Computing Foundry (QCF) program through the U.S. Army Research Office to provide Intels new quantum chip to research laboratories. The collaboration with LQC will help democratize silicon spin qubits by enabling researchers to gain hands-on experience working with scaled arrays of these qubits. The initiative aims to strengthen workforce development, open the doors to new quantum research and grow the overall quantum ecosystem.
The first quantum labs to participate in the program include LPS, Sandia National Laboratories, the University of Rochester, and the University of Wisconsin-Madison. LQC will work alongside Intel to make Tunnel Falls available to additional universities and research labs. The information gathered from these experiments will be shared with the community to advance quantum research and to help Intel improve qubit performance and scalability.
The LPS Qubit Collaboratory, in partnership with the Army Research Office, seeks to tackle the hard challenges facing qubit development and develop the next generation of scientists who will create the qubits of tomorrow, said Charles Tahan, chief of Quantum Information Science, LPS. Intels participation is a major milestone to democratizing the exploration of spin qubits and their promise for quantum information processing and exemplifies LQCs mission to bring industry, academia, national labs, and government together.
Dr. Dwight Luhman, distinguished member of Technical Staff at Sandia National Laboratories, said, Sandia National Laboratories is excited to be a recipient of the Tunnel Falls chip. The device is a flexible platform enabling quantum researchers at Sandia to directly compare different qubit encodings and develop new qubit operation modes, which was not possible for us previously. This level of sophistication allows us to innovate novel quantum operations and algorithms in the multi-qubit regime and accelerate our learning rate in silicon-based quantum systems. The anticipated reliability of Tunnel Falls will also allow Sandia to rapidly onboard and train new staff working in silicon qubit technologies.
Mark A. Eriksson, department chair and John Bardeen Professor of Physics, Department of Physics, University of Wisconsin-Madison, said, UW-Madison researchers, with two decades of investment in the development of silicon qubits, are very excited to partner in the launch of the LQC. The opportunity for students to work with industrial devices, which benefit from Intels microelectronics expertise and infrastructure, opens important opportunities both for technical advances and for education and workforce development.
About Tunnel Falls: Tunnel Falls is Intels first silicon spin qubit device released to the research community. Fabricated on 300-millimeter wafers in the D1 fabrication facility, the 12-qubit device leverages Intels most advanced transistor industrial fabrication capabilities, such as extreme ultraviolet lithography (EUV) and gate and contact processing techniques. In silicon spin qubits, information (the 0/1) is encoded in the spin (up/down) of a single electron. Each qubit device is essentially a single electron transistor, which allows Intel to fabricate it using a similar flow to that used in a standard complementary metal oxide semiconductor (CMOS) logic processing line.
Intel believes silicon spin qubits are superior to other qubit technologies because of their synergy with leading-edge transistors. Being the size of a transistor, they are up to 1 million times smaller than other qubit types measuring approximately 50 nanometers by 50 nanometers, potentially allowing for efficient scaling. According to Nature Electronics, Silicon may be the platform with the greatest potential to deliver scaled-up quantum computing.
At the same time, utilizing advanced CMOS fabrication lines allows Intel to use innovative process control techniques to enable yield and performance. For example, the Tunnel Falls 12 qubit device has a 95% yield rate across the wafer and voltage uniformity similar to a CMOS logic process, and each wafer provides over 24,000 quantum dot devices. These 12-dot chips can form between four to 12 qubits that can be isolated and used in operations simultaneously depending on how the university or lab operates its systems.
Whats Next: Intel will continuously work to improve the performance of Tunnel Falls and integrate it into its full quantum stack with the Intel Quantum Software Development Kit (SDK). In addition, Intel is already developing its next-generation quantum chip based on Tunnel Falls; it is expected to be released in 2024. In the future, Intel plans to partner with additional research institutions globally to build the quantum ecosystem.
More Context: Intel Labs Quantum Computing Backgrounder | Intel Labs (Press Kit) | Intel Quantum Researchers Introduce Tunnel Falls Silicon Qubit Research Chip (Video) | Intel Introduces Tunnel Falls Silicon Qubit Research Chip (Video) | Quantum Computing Laboratory in Oregon (B-Roll Video)
About Intel
Intel (Nasdaq: INTC) is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moores Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better. To learn more about Intels innovations, go to newsroom.intel.com and intel.com.
Intel Corporation. Intel, the Intel logo and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.
View source version on businesswire.com: https://www.businesswire.com/news/home/20230615304303/en/
Laura Stadler1-619-346-1170laura.stadler@intel.com
Source: Intel Corporation
Released Jun 15, 2023 9:00 AM EDT
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Intel's New Chip to Advance Silicon Spin Qubit Research for Quantum Computing - Investor Relations :: Intel Corporation (INTC)
Intel Enters the Quantum Computing Horse Race With 12-Qubit Chip – CNET
Intel has built a quantum processor called Tunnel Falls that it will offer to research labs hoping to make the revolutionary computing technology practical.
The Tunnel Falls processor, announced Thursday, houses 12 of the fundamental data processing elements called qubits. It's a major step in the chipmaker's attempt to develop quantum computing hardware it hopes will eventually surpass rivals.
Intel, unlike most of its rivals, makes its qubits from individual electrons housed in computer chips that are cousins to those that power millions of PCs. The company is lagging behind. Rivals like IBM, Google, Quantinuum and IonQ have been offering quantum computers for years, but Intel believes tying its fortunes to conventional chip technology will ultimately enable faster progress.
"To me, it's natural to use the tools already developed rather than having to develop new tools," said Jim Clarke, director of quantum computing hardware at Intel Labs. Intel makes its own quantum computing chips at its D1 fab in Oregon.
You won't buy your own quantum computer, but they could affect your life very directly. Among those investing in the technology are financial services companies seeking more profitable investments, materials science researchers hoping for better batteries, pharmaceutical companies trying to design better drugs and governments trying to crack adversaries' encrypted communications.
Those challenges are out of reach of conventional computers, but quantum computing has the potential to tackle them by taking advantage of the weird physics of the ultrasmall. Today's quantum computers aren't generally practical, and the full promise of the technology remains years away, but physicists and engineers have made steady progress year after year.
Intel, an expert in large-scale manufacturing, hopes to help speed things along by building many quantum chips, which it calls quantum processing units, or QPUs. The University of Maryland, one of the centers benefiting from a US government program to accelerate quantum computing progress, will use Intel machines.
One notable feature of quantum computing is the tremendous variety of approaches. Intel is using electrons, storing data with a quantum mechanical property called spin that's analogous to the two directions a top can spin. IBM and Google are using small electrical circuits of superconducting materials. IonQ and Quantinuum manipulate charged atoms stored in a trap. Other approaches involve neutral atoms and even that most fleeting of particles, the photon.
At a sufficiently small scale, quantum mechanics dominates physics and anything can become a qubit, quantum computing pioneer and MIT researcher Seth Lloyd said in an earlier interview. "It's a question of whether you can massage them in the right way to convince them to compute."
In other words, quantum computing isn't a horse race like in the traditional computer chip market. It's more like a horse pitted against a falcon, a motorcycle and an Olympic sprinter.
Intel likes its approach. Tunnel Falls is in manufacturing today, but the company very soon will "tape out" its successor, meaning the design is finished, and it's begun designing the model after that, Clarke said. Twelve qubits is a tiny fraction of what's needed for useful quantum computers, but Intel started with a simple approach designed for fast improvement and sustained progress over the years required to make serious quantum computers.
Intel's Tunnel Falls quantum computer test chip perched on a fingertip
"The next big milestone is when we have a few thousand qubits," a quantity that will let quantum computer engineers correct the frequent errors that plague qubit operations, Clarke said. "That's probably three, four years, maybe five years away," Clarke said. "And it's probably the early 2030s or mid-2030s before we have a million cubits that are going to change the world."
And Intel is engineering not just the QPUs, but the crucial data links that link each qubit to the outside world. Today's quantum computers often look like high-tech chandeliers, with gleaming metal communication conduits looping down toward the processor, but that bulky design won't work with thousands or millions of qubits, and Intel believes its control chips and chip interconnect technology will be necessary parts of an overall system.
One of Intel's biggest rivals, IBM, already offers multiple 127-qubit quantum computers for research and commercial use, with a 433-qubit machine up and running.
"We have a plan to get this out to hundreds of thousands of qubits using superconducting qubits," said Jerry Chow, leader of IBM's quantum computing hardware effort. IBM is working on quantum computer chips with a flock of code names -- Egret, Heron, Condor, Crossbill -- that are designed to prove out new technologies to reduce errors and improve the qubit-to-qubit connections that are central to the machines.
And it's making progress. On Wednesday, it secured a coveted spot on the cover of the journal Nature for research showing its 127-qubit Eagle quantum computing chip can surpass conventional machines in simulating the materials physics that produce effects like magnetism.
Intel tried and rejected the supercomputing qubit approach, Clarke said. Its spin qubits are a million times smaller than a superconducting circuit, letting the company fit 25,000 of them on each 300mm silicon wafer that transits through its chip fabrication plant, called a fab. When Intel finds a problem building quantum chips, it figures out how to adapt the qubit to traditional chip manufacturing, not vice versa.
Such arguments haven't persuaded others. Google is sticking with superconducting qubits.
"Superconducting qubits lead in critical metrics. We are confident they are the leading technology for the future of quantum supercomputers," Google said in a statement, pointing to their processing speed and progress toward error correction to keep calculations on track longer. "We see a clear path to scale our technology to large-scale, error-corrected machines of general use."
And IonQ Chief Executive Peter Chapman believes Intel's approach is too inflexible for practical, large-scale quantum computers. His company is developing ion trap machines that scoot charged atoms around, letting different qubits interact with each other for computation. Fixing qubits onto the surface of a chip drastically complicates computations, he said.
"What worked in computing in the past -- silicon-based processors -- is not the right solution for the age of quantum," Chapman said.
The deep disagreements about the best approach will perhaps be resolved as the machines evolve and grow larger. Intel's plans rely on its manufacturing advantage, tapping into its experience building some of the most complicated electronics devices on the planet.
"Not everybody has a fab like this in their back pocket," Clarke said.
Correction, 9:33 a.m. PT: This story misstated the particles out of which Intel makes qubits. It uses electrons.
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Intel Enters the Quantum Computing Horse Race With 12-Qubit Chip - CNET
Classiq partners with Toshiba Digital Solutions on gate-based … – CTech
Israel-based Classiq and Japan-based Toshiba Digital Solutions have announced that they will collaborate on gate-based quantum computing, and promote use case exploration and platform software development in industrial fields. Quantum computers can potentially solve problems that traditional computers cant yet tackle based on the principles of quantum mechanics. These can be sorted into two types - the Ising machine type and the gate-based universal computer - and while the former is specialized in solving combinatorial optimization problems, the latter is still in development but intended for general-purpose applications such as AI, optimization, and simulation.
Were excited to collaborate with Toshiba Digital Solutions, a global technology leader, said Nir Minerbi, Classiq CEO. Classiqs state-of-the-art quantum software platform combined with Toshiba Digital Solutions deep AI, IT knowledge, and advanced technological expertise will be leveraged to explore and architect sophisticated quantum algorithms enabling an industrial Quantum Transformation (QX).
Classiq offers a user-friendly gate-based quantum computing software platform that helps designers generate, analyze, and execute quantum circuits. The collaboration states that Toshiba Digital Solutions will conduct technical evaluations of quantum AI by using the Classiq platform. Based on the results, Toshiba Digital Solutions will explore various use cases that gate-based quantum computing can solve in energy, social infrastructure, smart manufacturing, carbon neutrality, and circular economy.
Toshiba Digital Solutions and Classiq will also work together to create new value by leveraging gate-based quantum computing for industrial customers across their respective businesses.
"We are excited to have the opportunity of technology collaboration with Classiq, added Shunsuke Okada, President and CEO of Toshiba Digital Solutions Corporation. We will create new value through QX (Quantum Transformation) together by combining Classiqs platform and Toshiba Groups quantum technology, AI, and IT knowledge cultivated over many years.
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Classiq partners with Toshiba Digital Solutions on gate-based ... - CTech
First quantum computer dedicated to healthcare research revealed – Omnia Health Insights
Cleveland Clinic and IBM officially unveiled the first deployment of an onsite private sector IBM-managed quantum computer in the US. The IBM Quantum System One installed at Cleveland Clinic will be the first quantum computer in the world to be uniquely dedicated to healthcare research with an aim to help Cleveland Clinic accelerate biomedical discoveries.
The unveiling comes as a key milestone in Cleveland Clinics and IBMs 10-year Discovery Accelerator partnership that was announced in 2021 and is focused on advancing the pace of biomedical research through the use of high-performance computing, artificial intelligence, and quantum computing. Quantum computing is a rapidly emerging technology that harnesses the laws of quantum mechanics to solve problems that todays most powerful supercomputers cannot practically solve. The ability to tap into these new computational spaces could help researchers identify new medicines and treatments more quickly.
Related:Technology-driven convergence in the life sciences industry
This is a pivotal milestone in our innovative partnership with IBM, as we explore new ways to apply the power of quantum computing to healthcare, said Tom Mihaljevic, M.D., Cleveland Clinic CEO and President and Morton L. Mandel CEO Chair. This technology holds tremendous promise in revolutionizing healthcare and expediting progress toward new cares, cures, and solutions for patients. Quantum and other advanced computing technologies will help researchers tackle historic scientific bottlenecks and potentially find new treatments for patients with diseases like cancer, Alzheimers, and diabetes.
With the unveiling of IBM Quantum System One at Cleveland Clinic, their team of world-class researchers can now explore and uncover new scientific advancements in biomedical research, according to Arvind Krishna, IBM Chairman and CEO. By combining the power of quantum computing, artificial intelligence and other next-generation technologies with Cleveland Clinics world-renowned leadership in healthcare and life sciences, we hope to ignite a new era of accelerated discovery.
In addition to quantum computing, the Cleveland Clinic-IBM Discovery Accelerator draws upon a variety of IBMs latest advancements in computing technologies, including high-performance computing via the hybrid cloud and artificial intelligence. Researchers from both organizations are collaborating closely on a robust portfolio of projects with these advanced technologies to generate and analyze massive amounts of data to enhance research.
Related:Powering virtual clinical trials with specialised software
The Cleveland Clinic-IBM Discovery Accelerator has generated multiple projects that leverage the latest in quantum computing, AI, and hybrid cloud to help expedite discoveries in biomedical research. These include:
The Discovery Accelerator also serves as the technology foundation for Cleveland Clinics Global Center for Pathogen & Human Health Research, part of the Cleveland Innovation District. The center, supported by a US$500 million investment from the State of Ohio, Jobs Ohio and Cleveland Clinic, brings together a team focused on studying, preparing and protecting against emerging pathogens and virus-related diseases.
Through the Discovery Accelerator, researchers are leveraging advanced computational technology to expedite critical research into treatments and vaccines.
This article appears in Omnia Health magazine.Read the full issue online today.
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First quantum computer dedicated to healthcare research revealed - Omnia Health Insights
The quantum photonics market is valued at USD 0.4 billion in 2023 and is anticipated to be USD 3.3 billion by 2030, growing at a CAGR of 32.2% from…
ReportLinker
Factors such as rising demand for secure communication and growing investment in quantum photonics computing are driving the growth of the market during the forecast period. Growing investment in quantum photonics.
New York, June 15, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Quantum Photonics Market Size by Offering, Application, Vertical and Region - Global Forecast to 2030" - https://www.reportlinker.com/p06468572/?utm_source=GNW Factors such as rising demand for secure communication and growing investment in quantum photonics computing are driving the growth of the market during the forecast period.
Growing investment in quantum photonicsIn recent years, several businesses and academic organizations have made large investments in quantum photonics.Growing investment in quantum photonics is a major driver for its advancement and adoption.
Companies and organizations are recognizing the immense potential of quantum photonics technology in revolutionizing various industries, including computing, communications, and sensing.The increasing investment is fueling research and development efforts, leading to hardware, algorithms, and applications breakthroughs.
Funding from governments, venture capitalists, and technology giants areproviding the necessary resources to accelerate the progress of quantum photonics.The increased investment in quantum photonics fosters innovation, attracts highly skilled professionals, and expands the ecosystem.
This surge in funding is propelling the growth of quantum photonics and creating opportunities for transformative solutions in various industries.PsiQuantum, a California-based firm, is working to create a viable, fault-tolerant quantum computer utilizing photonic qubits quantum computer.In a fundraising round that was headed by BlackRock and included Baillie Gifford and M12 (Microsofts startup fund), the business raised USD 215 million in 2020.
With this funding, PsiQuantum will be able to expand its business and quicken the development of its quantum photonics technology.Xanadu, a Canadian quantum computing startup that raised USD 100 million in a funding round in 2021, and QuTech, a Dutch research institute that is working to develop a photonic-based quantum computer in cooperation with several industrial partners, are two other notable players in the quantum photonics market in addition to PsiQuantum.
Potential for quantum supremacyQuantum photonics is an exciting technology that has the potential to transform computing by utilizing photons unique features to conduct sophisticated computations.The capacity of quantum computers to do tasks that are beyond the capability of classical computers is referred to as quantum supremacy.
While there has been considerable success in showing quantum supremacy with superconducting qubits, quantum supremacy with photonic qubits has yet to be shown. However, major research is being conducted in the field of photonic quantum computing, and quantum photonics computing may attain quantum supremacy in the future.In June 2022, Xanadu announced the launch of Borealis, the companys newest quantum computer, for public use through the cloud. Borealis is the biggest photonic quantum computer ever developed and the first to be made available to the public, with 216 squeezed-state qubits.
Asia Pacific is the fastest-growing region in the quantum photonics marketThere is an significant market for quantum photonics in Asia Pacific, specifically in countries like Japan, South Korea, and China. The significant growth of the Asia Pacific quantum photonics market can be attributed to the increasing demand for quantum photonics systems and services from emerging economies such as China and Japan for use in different applications in the space & defense, healthcare & pharmaceutical, and energy & power industries in the coming years.
The breakup of primaries conducted during the study is depicted below: By Company Type: Tier 1 18 %, Tier 2 22%, and Tier 3 60% By Designation: C-Level Executives 21%, Directors 35%, and Others 44% By Region: North America 45%, Europe 38%, Asia Pacific 12%, Rest of world 5%
Research CoverageThe report segments the quantum photonics market and forecasts its size, by value, based on region (North America, Europe, Asia Pacific, and RoW), offering (systems, and services), application (quantum communication, quantum computing, quantum sensing & metrology), and vertical (Space & Defense, Banking & Finance, Healthcare & Pharmaceutical, Transportation & Logistics, Government, Agriculture & Environment, Others(include academia, retail, telecom, media, energy & power, chemical, industrial, and oil & gas sectors).The report also provides a comprehensive review of market drivers, restraints, opportunities, and challenges in the quantum photonics market.
The report also covers qualitative aspects in addition to the quantitative aspects of these markets.
Reason to buy ReportThe report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall quantum photonics market and the subsegments.This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies.
The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers: Analysis of key drivers (rising demand for secure communication ,growing investment in quantum photonics, and potential for quantum supremacy), restraints (lack of standardization in quantum photonics, and regulatory challenges can hinder quantum photonics adoption and commercialization), opportunities (Advancements in quantum communications, Growing R&D and investments in quantum photonics computing), and challenges (Experimental constraints in quantum photonics computing) influencing the growth of the quantum photonics market Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the quantum photonics market Market Development: Comprehensive information about lucrative markets the report analyses the quantum photonics market across varied regions Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the quantum photonics market Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Toshiba (Japan), Xanadu (Canada), Quandela (France), ID Quantique (Switzerland), and PsiQuantum (US), among others in the quantum photonics marketRead the full report: https://www.reportlinker.com/p06468572/?utm_source=GNW
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IBM Study Advances Utility-Scale Quantum Computing With Error … – ExecutiveBiz
A team of researchers at IBM demonstrated the capability of a quantum computer to generate accurate results at a scale of more than 100 quantum bits using novel error mitigation techniques.
IBM said Wednesday the error mitigation techniques were developed to address the noise or disturbances that cause errors in the computations of quantum computers.
The IBM team produced large, entangled states that simulate the dynamics of spins in a model of material using the IBM Quantum Eagle processor composed of 127 qubits on a chip and worked with a team of scientists at the University of California, Berkeley, to simulate the quantum experiment on classical supercomputers at Purdue University and the Lawrence Berkeley National Laboratorys National Energy Research Scientific Computing Center.
This is the first time we have seen quantum computers accurately model a physical system in nature beyond leading classical approaches, said Dario Gil, senior vice president and director of IBM Research.
To us, this milestone is a significant step in proving that todays quantum computers are capable, scientific tools that can be used to model problems that are extremely difficult and perhaps impossible for classical systems, signaling that we are now entering a new era of utility for quantum computing, added Gil.
The study was published in the scientific journal Nature.
The company said it is equipping its cloud-based and onsite IBM Quantum Systems with utility-scale processors with a minimum of 127 qubits.
Companies and research organizations are working with IBM to explore quantum computing. These include Boeing, Bosch, Cleveland Clinic, CERN, DESY, E.ON, ExxonMobil, Moderna, Oak Ridge National Laboratory, the University of Chicago, RIKEN and Wells Fargo.
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IBM Study Advances Utility-Scale Quantum Computing With Error ... - ExecutiveBiz
IBM’s Jason Orcutt Moves the World Toward an Interconnected … – HPCwire
June 15, 2023 Glance around Jason Orcutts office at IBMQuantum, and youll see circuit boards, hiking trail maps, qubit probes and his kids artwork. Part office, part lab, part gallery: Its a cross section of a life of rigorous research and vigorous recreation.
The scene also captures the kind of activity balancing that characterizes his work as a quantum information researcher, switching between hands-on investigation and high-level research strategy. He uses these wide-ranging skills in his role as a co-design engineer forQ-NEXT, the National Quantum Information Science Research Center led by the U.S. Department of Energys (DOE) Argonne National Laboratory.
A principal research scientist atIBMQuantum, Orcutt provides an industry perspective on one of the pillars of Q-NEXT research: developing simulations to better designquantum information systems.
Q-NEXT collaborators use quantum computers and classical supercomputers to simulate the behaviors of materials used for quantum applications, which are expected to be revolutionary. In the decades ahead, scientists will deploy quantum sensors that can detect an earthquake from space and run powerfulquantum computersthat can rapidly suss out solutions to intractable problems.
Were using simulations to better design materials and adapting those simulations to an interconnected quantum system, Orcutt said.IBMbrings a future-looking perspective on the problems we need to solve to develop a really useful quantum computer. And Q-NEXT really aligns with our vision on creating new types of quantum interconnects to scale quantum computers into the future.
Quantum interconnect is a fancy way of referring to the components that link quantum devices. It could be the instruments connecting a sensor to a computer, or it could be a line on a printed circuit board. Without interconnects, quantum devices cant talk to each other, and quantum information cant be shared.
AtIBMQuantum, Orcutt coordinates the development of long-range quantum interconnects, which link devices separated by meters to kilometers, such as the nodes in a future quantum data center.
How do we extend quantum information or connect quantum systems over physical distance? he said.Right now, ourIBMquantum systems are really restricted to a single chip. I and the people I work with, as well as the academic researchers such as those at Q-NEXT, are looking to develop connections between qubits that will extend beyond more than one chip.
Sending quantum information over longer distances is an obstacle course of physics challenges. For starters, quantum information is fragile. Qubits the fundamental units of quantum information fall apart at the smallest disturbance. Distance complicates matters. How do you provide qubits with safe, noise-free passage over a kilometer or more? The proposition is like asking a soap bubble not to pop as it travels down a galley of knives.
You cant use the same tools to pattern a centimeter size chip as you would a meter-scale cable, Orcutt said.
Qubits must also be continually converted and reconverted to the right frequencies to be read by the devices they encounter on their journey. The most fundamental frequency conversion requirements arise from the different levels of thermal noise at different frequencies. For example:IBMQuantum focuses on a type of qubit that lives in the microwave frequency range. In this range, the quantum information must be cooled to a few hundredths of a degree from absolute zero to be protected from thermal noise. To be transported in room temperature materials a requirement for long distancecommunication the quantum information must be converted to the optical-wave range, a whopping 10,000 times the frequency of microwaves.
The way that materials respond to the two frequency ranges is massively different. How do you engineer materials to successfully conduct information that starts as a murmur and ends in a trill?
Such challenges are part of the growing pains of the field of quantum information science, which is working to tap the potential of information that, until recently, was kept cozily inside tiny instruments such as microchips.
Were taking quantum information into places it traditionally doesnt live, Orcutt said. Instead of moving through chips built in clean rooms, qubits are having to find their way throughthe messy world of macroscopic objects, he said, such as meter-long coaxial cables or fiber optic cables that connect nodes that are miles apart.
The scientific community is working to build quantum systems that will eventually connect the globe. Simulating them from soup to nuts is key to ensuring that the interconnected systems of the future will be successful. Orcutt draws on his experience atIBMto inform Q-NEXTs quantum simulations work.
We have to reengineer our systems, and to do that, we have to simulate them, he said.But how do we reengineer our systems around quantum interconnects instead of a monolithic computing device? Systems where there are different levels of connectivity? We have to rethink not just how we build the systems, but also how we adapt our algorithms to best use them.
Orcutt began his journey into quantum information science at Columbia University, planning initially to be a patent lawyer, combining interests in debate and technology.
What I quickly realized was that there are many other ways to pursue science and have a fulfilling career that was closer to creating new technical ideas, he said.
He pivoted to a bachelors in electrical engineering, with no intention of attending graduate school. But, again, he changed his mind after a couple of happy lab experiences working on electronics and photonics. For his Ph.D. research atMIT, Orcutt built the first optical interconnects in the commercial manufacturing processes used for microprocessor and memory chips.
This was a wonderful project because it wasnt just about the devices it was connected to the systems, which is something that has always been a key draw for me throughout my life, he said.
In 2013, Orcutt joinedIBM. It was a major shift for someone who started his career asthe one soldering the circuit, the one simulating the physics or coding the program, he said. And while he continues to work directly with the technology, 10 years later, hes also the one asking how quantum computers should be wired, what components are required to connect the qubits and what directionIBMshould take to tackle these strategic and technology questions.
Orcutts experience both at the bench and at the center of operations made him a valuable contributor to Q-NEXTs 2022 quantum technology reportA Roadmap for Quantum Interconnects, which outlines the discoveries needed to build practical quantum information technologies in one or two decades.
It was a useful exercise to define the important challenges and potential solutions that are emerging within the community and define it so it could be addressed by the center on a 10-year scale, he said.
Producing the roadmap is just one example ofIBMs collaborative effort with Q-NEXT.
The next phase of quantum information science will involve creating new materials and refined products that have superior quantum information performance. And to address that, we need a whole bunch of forces coming together, which is another reason why the shared infrastructure at centers like Q-NEXT are critical, Orcutt said.Trying to tackle these really hard problems is one of the main reasons we like to work with other industrial players, national labs and a broad consortium of academic groups. To us to me and toIBMin general that is a paramount reason to get involved in Q-NEXT: to be able to tackle the really hard problems together with the best people in the field.
Building the quantum workforce through education and outreach is another goal forIBMQuantum.IBMcreates connections to the students, postdocs and other early-career scientists conducting research at centers like Q-NEXT, widening opportunities to grow its own quantum workforce.
For those thinking of entering the field, Orcutt notes the excitement of quantum research.
When I have a new task or project, I initially have absolutely no idea how were going to solve it. The wonderful thing is, weve been able to make significant progress against our goals, he said.Its been a wonderful journey of figuring out ways to contribute to the quantum effort and trying to solve problems along the way.
This work was supported by theDOEOffice of Science National Quantum Information Science Research Centers as part of the Q-NEXT center.
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IBM's Jason Orcutt Moves the World Toward an Interconnected ... - HPCwire