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Quantum Computers

2315 articles · Page 77 of 116

Majorana 2, made more reliable with Microsoft Discovery agentic AI

Introducing Majorana 2 How Microsoft’s new quantum chip was made 1,000x more reliable with the help of Microsoft Discovery’s agentic AI The news - Microsoft unveils Majorana 2, its next-generation topological quantum chip developed with the help of Microsoft Discovery’s agentic AI. - Majorana 2’s new features include a new materials stack enabling a 1,000-fold improvement in reliability over the prior generation of qubits, with a mean qubit lifetime of 20 seconds and instances lasting as long as one minute. - Microsoft now expects to achieve a scalable quantum computer by 2029, cutting its original timeline in half. - Microsoft Discovery is now generally available. The platform for Frontier R&D lets customers deploy AI agent teams, guided by human expertise, to speed up scientific discovery. - The new Microsoft Discovery app provides a local version of the platform’s core capabilities that individuals can download for free and use with a GitHub Copilot account. Microsoft today unveiled Majorana 2, its newest topological quantum chip featuring a next-generation materials stack and qubits that are 1,000 times more reliable than their predecessors. With this progress, the team now expects to achieve a scalable quantum computer by 2029, cutting its original timeline in half. By applying recent advances in agentic AI specially designed to speed the scientific process and accelerate collaboration, Microsoft’s quantum team is overcoming key barriers in reliability, speed and size that have limited the application of quantum computing to real-life scenarios. For instance, the new chip’s qubits can maintain their quantum state 1,000 times longer than the first generation, enabling more reliable computation. While other common approaches measure a qubit’s “lifetime” in microseconds, Majorana 2 offers a mean qubit lifetime of 20 seconds, with some instances lasting as long as one minute. That improvement is roughly comparable to inventing a phone

Jun 2, 2026 · via news.microsoft.com

Microsoft's <b>quantum</b> chip got an upgrade. Critics are still skeptical

Microsoft’s quantum chip got an upgrade. Critics are still skeptical Error woes that plague quantum computers may be solved by using the math of topology Errors are a big problem for quantum computers, befuddling calculations and hindering the machines’ potential to outperform traditional computers. Microsoft’s new quantum chip could bring hope — for those who believe the company’s claims. Microsoft has unveiled an improved version of its quantum chip, which is designed to resist errors. But the upgrade hasn’t convinced harsh critics of the company’s previous efforts. Last year, Microsoft reported that it had developed a new kind of a quantum chip that protects information based on principles of topology, the field of mathematics dealing with the geometry of structures with holes. That claim immediately drew skepticism from scientists. In the new chip, announced June 2 at Microsoft’s Build conference in San Francisco, researchers swapped some of the materials used to create the chip’s quantum bits, or qubits. In particular, the team used lead instead of aluminum as a superconductor, a material that transmits electricity without resistance at low temperature. Those swaps improved a property called the parity lifetime, a marker of the quality of a topological qubit. These qubits are built from tiny superconducting wires, and the parity indicates whether there is an even or odd number of electrons within the wire. The lifetime indicates how long the parity is maintained before being spoiled by random jitter or outside influences. Previously, the qubit’s parity lifetime was measured in milliseconds; now, it is around 20 seconds, Microsoft researchers report in a paper posted on a Microsoft website and at arXiv.org. The paper is a preprint, so has yet to be peer-reviewed. “We’re seeing this more than 1000x improvement in this critical metric of the qubit based on this change,” Microsoft

Jun 2, 2026 · via sciencenews.org

How <b>Quantum Computing</b> Can Solve Energy And Climate Challenges | XPRIZE

Quantum computing could reshape how we approach some of the toughest problems in energy, climate, medicine, and materials. 🖥️ Unlike classical computers that rely on binary 0s and 1s, quantum computers use qubits that can represent many possibilities at once, creating powerful new ways to model nature. Through the XPRIZE #QuantumApplications competition, we’re helping steer this emerging field toward real-world impact. “When you come to these very powerful technologies that can shape our future, it is important how we direct the attention of the creators.” - XPRIZE CEO Anousheh Ansari Here’s why it matters: ➡️ Quantum computing could support climate solutions by accelerating discovery of materials for carbon capture and efficient solar cells. ➡️ In drug discovery, quantum simulation could accelerate the path to new therapies by helping researchers model complex molecular interactions more efficiently. ➡️ Battery chemistry involves complex tradeoffs; quantum modeling may help researchers explore candidate materials and performance variables more efficiently. ➡️ Identifying materials that can survive extreme fusion conditions is a major barrier, quantum simulation may help solve it. While AI is powerful for pattern recognition, prediction, and design workflows, quantum computing offers a complementary path: using quantum mechanics itself to model parts of nature that are difficult for classical computers to simulate. At XPRIZE, we’re focused on ensuring breakthrough technologies like quantum computing are directed toward humanity’s biggest challenges. Read more in Ansari’s Forbes feature here. https://lnkd.in/gNFaVVfH XPRIZE’s Post More from this author Explore content categories - Career - Productivity - Finance - Soft Skills & Emotional Intelligence - Project Management - Education - Technology - Leadership - Ecommerce - User Experience - Recruitment & HR - Customer Experience - Real Estate - Marketing - Sales - Retail & Merchandising - Science - Supply Chain Management - Future Of Work - Consulting - Writing -

Jun 2, 2026 · via linkedin.com

<b>Quantum Computers</b> Now Generate Diverse States, Sidestepping A Major Simulation Hurdle

A new quantum-classical framework for generating ensembles of quantum states enables advancements in quantum simulation, chemistry, and machine learning. Quoc Hoan Tran of Fujitsu Research and colleagues prove that latent-conditioned parameterised quantum circuits (LPQCs) universally approximate probability measures over density operators, extending classical approximation theorems to quantum distributions. The method alleviates the barren plateau problem and achieves competitive performance against both quantum and classical baselines on tasks involving complex ensembles, such as molecular structures, while sharply reducing output dimensionality. By integrating classical neural networks with quantum circuits, LPQCs present a vital pathway towards tractable quantum generative modelling Latent-conditioned circuits enhance quantum state ensemble generation and overcome computational challenges Gate fidelity increased five-fold when generating quantum state ensembles, exceeding previous quantum generative baselines and remaining competitive with classical methods at sharply lower dimensionality. Previously, creating diverse collections of quantum states for complex simulations was computationally prohibitive, hindering progress in materials science and drug discovery. Introducing latent-conditioned parameterised quantum circuits (LPQCs), a hybrid quantum-classical framework, now provides a tractable route to quantum generative modelling, effectively extending classical approximation theorems to quantum distributions. The significance of this lies in the ability to move beyond preparing individual quantum states, a process that scales exponentially with system size, towards generating probability distributions overstates, offering a more efficient approach for representing complex quantum systems. The LPQC framework employs classical neural networks to map latent variables to quantum circuit parameters, enabling efficient generation of varied quantum states and alleviating the barren plateau problem often encountered in quantum machine learning. The barren plateau refers to the phenomenon where the gradients of the cost function vanish exponentially with the number of qubits, hindering the training of parameterised quantum circuits. By introducing a latent space and leveraging the representational power of neural networks, LPQCs effectively navigate this challenging landscape. Researchers

Jun 1, 2026 · via quantumzeitgeist.com

PHOTOS: Sen. Schiff Tours Caltech's <b>Quantum</b> Research Laboratories

Pasadena, CA – In case you missed it, U.S. Senator Adam Schiff (D-Calif.) toured California Institute of Technology’s quantum research laboratories, a center aimed at supporting the development of quantum computers and related technologies. During the tour, Schiff learned how Caltech plans to tackle one of the biggest challenges in building quantum computers: how to scale them to be much larger. The Senator also heard from faculty on their ongoing efforts to tackle the hardest questions in quantum computing today. View a video of Senator Schiff interviewing Caltech’s quantum experts here and photos from the visit below: ###

Jun 1, 2026 · via schiff.senate.gov

D-Wave details <b>quantum</b> roadmap and funding plans | QBTS 8-K Filing

Copyright @ D-Wave1 Copyright @ D-Wave2 The D-Wave Difference Investor Day, June 2026 Copyright @ D-Wave3 Investor Day Agenda 1:00 1:05 1:50 2:05 2:30 2:55 3:10 3:20 3:35 4:00 Opening Remarks Keynote – Dr. Alan Baratz, Chief Executive Officer Q&A Session Annealing Quantum Computing – Dr. Trevor Lanting, Chief Development Officer Gate-Model Quantum Computing – Dr. Trevor Lanting; Dr. Rob Schoelkopf, Chief Scientist Q&A Session Go-To-Market – Lorenzo Martinelli, Chief Revenue Officer Financial Overview – John M. Markovich, Chief Financial Officer Q&A Session Reception Copyright @ D-Wave4 Certain statements in this presentation are forward-looking, as defined in the Private Securities Litigation Reform Act of 1995. In some cases, you can identify forward-looking statements by the following words: “believe,” “may,” “will,” “could,” “would,” “should,” “expect,” “intend,” “plan,” “anticipate,” “trend,” “estimate,” “predict,” “project,” “potential,” “seem,” “seek,” “future,” “outlook,” “forecast,” “projection,” “continue,” “ongoing,” or the negative of these terms or other comparable terminology, although not all forward-looking statements contain these words. These forward-looking statements include, but are not limited to, statements regarding or relating to the proposed $100 million of funding to the Company under the U.S. CHIPS and Science Act administered by the U.S. Department of Commerce (the “Department”), our proposed issuance of $100 million in shares of the Company’s common stock (the “Shares”) to the Department, our expected research and development initiatives and plans in connection with such proposed funding, the expected benefits of our acquisition of Quantum Circuits Inc., our development and commercialization plans, dual-platform roadmap and milestones, and plans to accelerate the projected time to a scaled, error-corrected gate model quantum computer, among others. These statements are based on various assumptions, whether or not identified herein, and on the current expectations of our management. These forward-looking statements are not predictions of actual performance and are subject to a number

Jun 1, 2026 · via stocktitan.net

Is Rigetti <b>Computing</b> Stock Going to $50? | The Motley Fool

The stock market is on a tear. Driven by renewed enthusiasm for artificial intelligence (AI), the S&P 500 index is up 6.3% over the last month, while the tech-heavy Nasdaq Composite is up a whopping 9.4%. The run, along with a major announcement from the U.S. Commerce Department, has kicked off a rally in quantum computing stocks. As investors look for the "next AI," they're snapping up shares of companies like IonQ, D-Wave, and, of course, Rigetti Computing (RGTI +0.35%). With the recent launch of its most powerful quantum system to date, many investors believe that Rigetti is one of the most promising quantum pure-plays around. But what about the stock? After jumping more than 50% in a month, is it still a buy? Could shares of Rigetti reach $50? NASDAQ: RGTI Key Data Points Why Rigetti is turning heads in the quantum computing race Rigetti builds superconducting quantum computers, using the same basic approach as Alphabet's Google and IBM. This gives the company's systems a few advantages: speed and scale. Rigetti just launched its most powerful computer to date, the 108-qubit Cepheus-1-108Q. , Beyond the tech itself, the company designs and builds everything in-house, from the quantum chips to the software that runs on them. If its approach delivers, Rigetti would own the entire vertical, giving it a major leg up. As for financials, revenue nearly tripled year over year last quarter, and the company is sitting on more than $400 million in cash, double what it held a year ago. And of course, there is the recent news: The U.S. government will provide $100 million to Rigetti as part of a larger $2 billion quantum investment package. That's a pretty big deal. The risks hiding behind Rigetti's explosive stock rally Revenue nearly tripled last quarter, rising from $1.5

Jun 1, 2026 · via fool.com

<b>Quantum</b> Circuits Become More Reliable With Improved Error Correction Methods

Researchers Tao Wang and Yun Shang at Chinese Academy of Sciences, have developed a new error mitigation technique to improve the reliability of calculations performed on contemporary quantum computers. Their work introduces a hybrid Gaussian-exponential extrapolation scheme specifically tailored for quantum circuits exhibiting periodic structure, a common characteristic of many quantum algorithms. By modelling noise amplification using a log-normal distribution and incorporating Gaussian variance corrections, the method requires minimal prior noise characterisation and demonstrably reduces bias in calculations across a range of circuit types, including Trotterized Ising dynamics, random circuits, and Grover search. This advancement represents a key step towards obtaining more accurate results from near-term quantum hardware, which is currently limited by the inherent fragility of quantum states and susceptibility to environmental disturbances. Log-normal noise modelling diminishes bias in deep periodic quantum circuits Up to 30% bias reduction in calculations was achieved through this new method, compared to previous extrapolation variants. Existing error mitigation techniques often struggle to maintain accuracy with increasingly complex and deep circuits. These circuits involve many quantum operations, previously rendering accurate results unattainable without substantial qubit overhead, which increases the resources required for computation. Dr. Patrick Draper and Dr. Pranav Patel conceived this new technique for quantum circuits with periodic structure, circuits constructed from repeating blocks of operations. The core innovation lies in modelling noise amplification as a log-normal distribution, a statistically robust approach grounded in the observation that errors tend to accumulate multiplicatively rather than additively. This multiplicative accumulation leads to a distribution of errors that closely resembles a log-normal distribution, allowing for more accurate extrapolation to the zero-noise limit. The hybrid model accurately characterises noise behaviour without requiring prior knowledge of the specific noise affecting the quantum computer, significantly simplifying implementation and broadening its applicability to diverse hardware platforms. This is a crucial

Jun 1, 2026 · via quantumzeitgeist.com

The CEA's TGCC at the heart of European challenges in <b>computing</b>, <b>quantum</b> technology ...

On May 22, the CEA’s Very Large Computing Center (TGCC) in Bruyères-le-Châtel hosted the European Forum on Computing, Quantum, and Semiconductor Technologies. This strategic event was opened by the CEA’s Chairman and featured a visit and announcements by the President of the Republic, in the presence of the Prime Minister and several members of the Government. This major event brought together researchers, industry leaders, startups, and European policy makers around a common goal: to accelerate the development of technological sovereignty in advanced computing, quantum technology, and semiconductors. The day began with roundtable discussions on the framework for developing the computing, quantum, and semiconductor sectors—from research to industrial applications— and on funding mechanisms and industrial policy at the European level. The President of the Republic then took the floor to reaffirm the strategic importance of quantum and semiconductor technologies in a highly competitive global environment.. “It is a source of great pride for France […] to be here today discussing computing technologies, quantum technology, and semiconductors. Here, decades of research, engineering, industrial innovation, and strategic vision converge—at the heart, moreover, of a dual French vision—and this CEA site […] also demonstrates the ability to bridge fundamental research, applied research, and the industrial sector, as well as the civilian and military spheres.” Emmanuel Macron emphasized in the opening remarks of his speech from the CEA site in Bruyères-Le-Châtel. He emphasized that quantum technologies, semiconductors, and more broadly, critical technologies are part of a drive toward technological sovereignty that Europe must strengthen. In light of the accelerating progress made by the United States and China in these critical technologies, he called for “scaling up” efforts at the European level, investing more heavily, and strengthening the preference for European technologies in strategic sectors. A long-standing commitment to quantum and semiconductor technologies In 2021, France

Jun 1, 2026 · via cea.fr

Clarkson researchers advancing use of AI, computational physics | Education | nny360.com

POTSDAM — Researchers at Clarkson University are advancing the use of artificial intelligence and computational physics to accelerate discovery of next-generation materials for quantum technologies, optoelectronics, and renewable energy applications. Associate Professor of Physics Dhara Trivedi recently worked with scientists at Los Alamos National Laboratory on a research project that combined machine learning, high-throughput computational modeling, and quantum-scale simulations to accelerate the discovery of advanced materials with specialized electronic and quantum properties. The team studied two-dimensional perovskites, a group of materials that could improve technologies such as solar panels, sensors, lasers and next-generation computers. The research was published in npj Computational Materials, a journal in the Nature Portfolio. Finding useful materials has traditionally taken years of testing in laboratories. By using artificial intelligence, researchers can now predict which materials are most promising before building them. “Artificial intelligence helps us narrow down the best possibilities much faster,” Trivedi said. “That means scientists can spend more time developing technologies and less time searching for materials that may not work.” The researchers created a database containing more than 2,000 possible material combinations and trained machine learning models to predict important electronic properties. The materials identified in this work could enable advances in renewable energy, quantum information science, and next-generation optoelectronic technologies. Potential applications include more efficient solar cells, low-power electronic devices, quantum computing and communication systems, as well as photodetectors, LEDs, fiber-optic technologies, and advanced sensing platforms. The project also highlights how artificial intelligence and physics-based simulation can work together to accelerate discovery of materials for emerging technologies. . The collaboration between Clarkson University and Los Alamos National Laboratory also demonstrates how universities and national research labs can work together to solve complex scientific challenges and develop technologies with real-world impact. “This work shows how physics, computing and AI can come together to

Jun 1, 2026 · via nny360.com

Demonstrating real-time and low-latency <b>quantum</b> error correction with superconducting qubits

Abstract Quantum error correction will be essential for quantum computers to realise their full potential. As quantum computers advance towards demonstrating a universal fault-tolerant logical gate set, implementing scalable and low-latency real-time decoding will be crucial to avoid an exponential slowdown and maintain a fast logical clock rate. Here, we demonstrate low-latency feedback with a scalable FPGA decoder integrated into the control system of a superconducting quantum processor. We perform an 8-qubit stability experiment with up to 25 decoding rounds and a sub-microsecond mean decoding time per round, providing strong evidence that the backlog problem will be avoided when the decoder is operated as a streaming decoder on a superconducting hardware with the strictest speed requirements. We observe logical error suppression as the number of decoding rounds is increased. We also implement and time a fast-feedback experiment demonstrating a decoding response time of 9.6 μs for a total of 9 measurement rounds. Acknowledgements We thank Steve Brierley, Nicolas Didier, Rossy Nguyen, Matthew Reagor, David Rivas, Jake Taylor, Alice Voaden, and Catriona Wright for their support and championing of this project. We thank Maria Maragkou and Luigi Martiradonna for feedback on the manuscript. We thank David Byfield and Mark Turner for advice on implementation and use of analysis tools. Funding L.C., L.S., N.S.B., A.R., J.Mc., J.A.V., A.D.P., A.V.G., J.Ma., K.M.B., T.B., O.B., O.C., G.P.G., H.K., E.M., C.T., S.P., M.B., K.S., N.I.G., G.J., K.J., E.T.C., and A.D.H. declare no relevant funding. Author information Authors and Affiliations Corresponding authors Ethics declarations Competing interests The authors declare no competing interests. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary information Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution

Jun 1, 2026 · via nature.com

Agrees We Need A “Right To A Digital-Free Life”

I am 100% in agreement with Randy’s column on page 3 of the April 24 issue of Webster-Kirkwood Times. We need a “Right To A Digital-Free Life” law. I am trying to work myself in that direction, but it is hard and looks to be getting harder. Federal government wants to stop taking paper checks. Filing tax returns by paper is a real hassle now. With Artificial Intelligence and Quantum computers coming, privacy is going to be impossible unless we get offline and do not use computers. Privacy is pretty much gone already. Representative Wagner requires email addresses to take constituent surveys. Huh. Why should I have to enter an email address to do a survey? I just wish more people would wake up to what is happening. Perhaps they will wake up when it’s too late? John Dickey Brentwood

Jun 1, 2026 · via timesnewspapers.com

Thematic AI Funds Are Booming. Is <b>Quantum Computing</b> Next?

Thematic AI Funds Are Booming. Is Quantum Computing Next? Quantum computers, which could handle massive calculations faster than current systems, are expected to make a big impact. Sign up for exclusive news and analysis of the rapidly evolving ETF landscape. They might sound like technology out of “Back to the Future,” but quantum computers are no flux capacitors. The US Department of Commerce announced $2 billion in grants to nine quantum computing companies earlier this month, making the federal government a stakeholder in the sector’s commercial success. The move is similar to 2022’s CHIPS Act, which provided funding for the manufacture of semiconductors, a major current growth area in the world of AI-focused and new leveraged ETFs. But quantum computers may hold even more potential, since they could dramatically push forward the fields of AI, finance, healthcare and cybersecurity. It’s an investing theme that could help provide growth opportunities in client portfolios. “We talk a lot about intelligence, whether AI is adding value and productivity,” said Chris Gannatti, global head of research at WisdomTree, which runs a quantum computing ETF. “Quantum computing is a natural extension [of] that.” Quantum Leap For the non-computer scientists among us, a quantum computer is, very basically, a machine that uses quantum physics to solve complex problems that current supercomputers either can’t solve or would take several million years to solve. Beyond the possibilities of quantum computing and the latest federal funding, however, there are also myriad IPOs that might enable more investment. Last week, the quantum computing firm Quantinuum filed for an IPO targeting a valuation of up to $12.7 billion. “People are hungry for new tech-oriented IPOs, and what’s great is instead of just having exposure to one or two public companies, now you’re able to have a more broadly diversified array,” Gannatti

Jun 1, 2026 · via thedailyupside.com