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IQM (HLSE:IQMX) Stock Price Slides As Losses Deepen Despite Revenue Growth

IQM Quantum Computers Oyj stock has been under pressure, with the share price down about 34% over the past month. Yet the latest results will likely keep long term investors focused on one thing. The quantum hardware specialist is still burning cash and reporting heavy losses, and that loss widened year on year in euro terms. Q2 revenue reached €6.683 million, which keeps the growth story alive, but the net loss of €36.554 million underlines how much capital this model still absorbs. The headline is simple: the market has already marked IQM down, and this quarter reinforces that the main story is a sizeable and persistent loss profile rather than short term revenue beats. Is IQM Quantum Computers Oyj now pricing in years of heavy losses, or is the recent share price drop overshooting the fundamentals? Compare the market reaction with our valuation analysis for IQM Quantum Computers Oyj Q2 2026 Earnings Summary Revenue, Q2 2026 vs. Q2 2025: €6.683 million vs. €5.233 million (higher revenue in the latest quarter) Net Loss, Q2 2026 vs. Q2 2025: €36.554 million loss vs. €15.005 million loss (loss widened year on year) Basic EPS, Q2 2026 vs. Q2 2025: €1.18 loss per share vs. €0.49 loss per share (larger loss per share year on year) Trailing 12 Month Net Loss, to Q2 2026 vs. to Q4 2024: €94.711 million loss vs. €54.105 million loss (heavier loss over the latest twelve month period) Prefer clear visuals instead of another dense wall of financial figures and earnings commentary? See IQM Quantum Computers Oyj's full financial picture with an at-a-glance view of its balance sheet inside our company report for IQM Quantum Computers Oyj. IQM’s growth story versus rising cash burn For bullish investors, IQM Quantum Computers Oyj is still leaning into the growth story. Q2

UCalgary selected by Government of Canada to lead nation's first <b>Quantum</b> Defence ...

Aug. 6, 2026 UCalgary selected by Government of Canada to lead nation’s first Quantum Defence Innovation Secure Hub On Aug. 6, the Hon. David J. McGuinty, Minister of National Defence, announced an investment of more than $20.3 million over two years to support a University of Calgary-led consortium in establishing the Quantum Defence Innovation Secure Hub (DISH), a flagship Bureau of Research, Engineering and Advanced Leadership in Innovation and Science (BOREALIS), to be operated by UCalgary’s Quantum City. "Quantum will shape the next generation of defence capabilities, and Canada must be prepared to lead—not follow. Through the Quantum Defence Innovation Secure Hub, we're bringing together Canadian researchers, innovators, industry, and government to accelerate Made-in-Canada quantum technologies into mission-ready capabilities that strengthen the operational advantage of the Canadian Armed Forces while growing Canada's sovereign defence industrial base," says Hon. McGuinty. Adrian Shellard ‘Transformational investment’ builds on UCalgary’s legacy of excellence in defence and security-related fields DISHs are secure, mission-oriented hubs established to enable collaboration between government, industry, academia, the Canadian Armed Forces (CAF), and national security partners in support of Canada’s defence and national security priorities. They are intended to address a persistent gap in the defence innovation ecosystem by helping innovators overcome barriers to engaging with defence organizations. DISHs provide trusted environments, infrastructure, and services that support the design, testing, validation, and transition of advanced technologies toward operational use. By connecting operational users directly with researchers, innovators, and industry partners, the Quantum DISH will help translate quantum advances into operational advantage for the CAF while strengthening Canada's sovereign quantum technology capacity. "We thank the Government of Canada for this transformational investment at the University of Calgary and Quantum City. UCalgary has a long history of excellence in strategic studies, military scholarship, and applied research in defence and security-related fields,” says

<b>Quantum</b> research focus of summer training school for higher education students

UNIVERSITY PARK, Pa. — Eighty higher education students from across the country participated in various activities and engaged with quantum science experts in a week-long summer school experience hosted by the Penn State Center for Theory of Emergent Quantum Matter (C-TEQ). “The C-TEQ summer school selects a hot topic of emergent quantum phenomena — this year’s theme is ‘Quantum Simulation of Strongly Correlated Quantum Matter’,” said Bryce Gadway, professor of physics at Penn State, Quantum Hub advisory committee member. The C-TEQ summer school, hosted at University Park, was held from July 13 through 17. The theme, according to summer school coordinators, refers to using hardware like quantum computers to simulate complex systems of many quantum particles and will drive collaborations between theory and experiment. The experience was designed for graduate students with an interest in quantum sciences research but was also open to undergraduates, postdoctoral scholars and faculty. Half of the attendees were students from Penn State. Interested attendees had to apply to attend the school. "Training young researchers at the intersection of quantum information science and the theory of quantum matter is essential to meet emerging workforce needs in both academic and industrial research,” said Thomas Iadecola, associate professor of physics at Penn State, co-hire in Penn State’s Institute for Computational and Data Sciences and Quantum Hub advisory committee member. “The C-TEQ summer school contributes to this goal by bringing world-class experts to the University Park campus to educate researchers from Penn State and beyond.” The summer school was packed with activities, including lectures presented by expert researchers, a meet- and- greet dinner with the lecturers and two student poster sessions. Lectures detailed various topics across quantum simulation and exposed students to new ideas that could stimulate new directions in research, according to Ribhu Kaul, professor of physics at

Rigetti <b>Computing</b> Reports Second Quarter 2026 Financial Results

Rigetti Computing Reports Second Quarter 2026 Financial Results Growing demand for Rigetti’s quantum systems, progress on the technology roadmap, and strategic U.S. government support BERKELEY, Calif., Aug. 06, 2026 (GLOBE NEWSWIRE) -- Rigetti Computing, Inc. (Nasdaq: RGTI) (“Rigetti” or the “Company”), a pioneer in full-stack quantum-classical computing, today announced financial results for the second quarter ended June 30, 2026 and provided an update on recent business and technology milestones. Second Quarter 2026 Financial Highlights - Total revenues for the three months ended June 30, 2026 were $5.1 million - Operating loss for the three months ended June 30, 2026 was $28.1 million - For the three months ended June 30, 2026: GAAP net loss $52.6 million; non-GAAP net loss $16.0 million - For the three months ended June 30, 2026: GAAP diluted net loss per share $0.16; non-GAAP diluted net loss per share $0.05 - As of June 30, 2026, cash, cash equivalents and available-for-sale investments totaled $541.3 million “In the second quarter, we continued to execute on our strategy by focusing on our system performance, progressing our core technology roadmap, and broadening on-premises system deployments,” said Dr. Subodh Kulkarni, Rigetti CEO. “Our recently announced expanded collaboration with Hewlett Packard Enterprise Company (HPE) and the Pittsburgh Supercomputing Center to develop a hybrid quantum-classical supercomputer reflects growing demand for our approach and positions Rigetti to deliver differentiated quantum-enhanced high-performance computing (HPC) solutions.” “We are seeing broadening engagement across government, academic, and commercial customers, and we believe our open modular approach, superconducting gate-based architecture, and chiplet-based scaling strategy continue to differentiate Rigetti in the market. End users who leverage our systems over the cloud benefit from ease of use and consistent uptime, which we will continue to prioritize as quantum computing R&D progresses,” Dr. Kulkarni continued. “In addition, our recently announced letter

Can <b>quantum computers</b> solve math's hardest problem?

The Riemann hypothesis claims that the locations of prime numbers along the infinite number line all adhere to a beautiful and orderly, but obscure formula. Yet 167 years after German mathematician Bernhard Riemann made this guess, and in spite of a million-dollar bounty, mathematicians still have no idea how to prove it. Now a team in China has managed to encode that formula into a physical system and explore its workings using a quantum computer. The researchers’ work, an unedited version of which saw early publication last month in the journal Nature Communications, makes this abstract question about prime numbers more tangible than ever before. “It provides a new perspective on the Riemann hypothesis,” says Shijie Wei of the Beijing Academy of Quantum Information Sciences, the study’s co-lead author. He hopes the work will prove “that quantum computing will serve as a powerful avenue for investigating major mathematical conjectures.” On supporting science journalism If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today. The notion struck Wei a decade ago, when he saw a lecture about the exploration of a related mathematical formula, called the Möbius inversion, with a quantum computer. “Inspired by this idea, I thought that maybe the Riemann hypothesis can also connect to quantum systems,” he says. At the center of the hypothesis is the Riemann zeta function, a gnarly equation involving a sum of infinitely many pieces. First, you plug in its input—a number with a real part and an imaginary part (the latter is “imaginary” because it involves something seemingly nonsensical: the square root of –1). Then, once you calculate that infinite sum, the result is a single number. Riemann

AI program designs new bacteriophages - C&amp;EN

News The latest chemistry news, including important research advances, business and policy trends, chemical safety practices, career guidance, and more. Read More Researchers at Stanford University have shown that entire genome bacteriophages can be generated with an AI-guided program. The team used programs Evo1 and Evo2 to generate new bacteriophages based on the ΦX174 family of phages, which target Escherichia coli (Science 2026, DOI 10.1126/science.aec2657). The models were trained on large swaths of existing genomes, and then they were prompted with the help of a consensus sequence that was present in every ΦX174 phage present in the training data. The large amounts of training data provide insight for the models into what sequences have been evolutionarily conserved, which guides the design toward a genome that produces a viable phage. There are many possible combinations of nucleotides that could make up a gene or a genome, says Brian Hie, an assistant professor of chemical engineering at Stanford and the senior author on the paper. “But only a much smaller subset of those sequences are biologically plausible or fit into the biological world.” When the researchers got usable sequences, they could then order and insert them into E. coli bacteria. The program produced 16 viable, novel phages in total. The work acts as “a proof of concept of what’s possible for genome design guided by AI,” says Samuel King, a postdoctoral researcher in Hie’s lab. The group intends to continue developing the phage program. Hie says that the program’s ability to incorporate evolutionary diversity could make phage therapy more effective as an alternative to antibiotics, in the case of antibiotic-resistant bacterial infections.

IBM Genesis Mission Award Pairs $50M in <b>Quantum</b> Access With Algorithm-First AI Research

The U.S. Department of Energy has selected IBM for a Phase I Genesis Mission project focused on AI-assisted quantum application development. The company also plans to provide up to $50 million in access to IBM quantum systems for DOE national laboratories and their partners over the next five years. The Genesis Mission is building a national scientific-computing framework that brings together AI, classical high-performance computing, quantum computing, scientific instruments, and research data. IBM’s selection adds a quantum component to the first set of projects under the Genesis Mission Request for Applications process. This work complements the DOE’s planned computing infrastructure at Oak Ridge National Laboratory. As previously reported, AMD’s Lux system is expected to become the first fully operational Genesis Mission platform, with funded projects slated to begin using it in October 2026. Lux combines AMD Instinct MI355X GPUs, EPYC CPUs, and Pensando networking to support AI services, conventional HPC workloads, simulation, and data-intensive research workflows. IBM’s contribution is directed at extending that model to include quantum resources for workloads where classical systems and AI alone are insufficient. AI-Assisted Quantum Application Development IBM’s Phase I project will examine a reversed workflow for identifying quantum computing applications. Rather than beginning with a scientific problem and searching for a quantum algorithm, IBM plans to start with known quantum algorithms and use an agentic AI research assistant to locate scientific problems in published literature that meet the algorithms’ requirements. The system would review research papers, identify possible algorithm-to-problem matches, assess them against human-defined criteria, and produce an explanation for researchers to evaluate. The objective is to reduce the manual effort involved in surveying scientific literature and uncover application candidates that may otherwise be missed. The DOE’s Phase I awards are intended to establish and test research workflows before larger-scale funding and deployment. Teams

Can a biologist unlock the future of <b>quantum</b> sensing?

Keith Hengen is applying lessons from the brain to next-generation quantum sensors through a U.S. Department of Energy-funded project. Keith Hengen, an associate professor of biology who studies the brain’s computational power, has often collaborated with mathematicians and physicists in his quest to understand cognition. Still, Hengen was surprised when Whitney Armstrong, a physicist at Argonne National Laboratory, approached him about a new endeavor: developing quantum sensors for next-generation computing. Accepting the challenge, Hengen joined Armstrong as a co-principal investigator of a project called “Superconducting Polychronous Computation Near Criticality.” In late July, the U.S. Department of Energy awarded $750,000 to Hengen and Armstrong as part of its Genesis Mission, a collection of research projects designed to “deliver breakthroughs to secure American energy dominance, accelerate scientific discovery, and strengthen national security.” Hengen spoke with the Ampersand about his role in the new project and how lessons from the brain could help advance quantum computing. How did you connect with a physicist at Argonne? My lab is especially interested in a brain state called criticality. Criticality describes a complex system when it’s balanced at the tipping point between order and chaos. At criticality, information processing is maximized. For obvious reasons, we believe the brain must be tuned near criticality for optimal thinking and learning. Whitney Armstrong at Argonne was looking for a way to increase the accuracy and reduce the energy consumption of quantum sensors that could be used for next-generation computers and electronics. He came across a preprint of a paper I wrote with Leandro Fosque, a postdoctoral researcher in my lab, and ShiNung Ching, a professor of electrical and systems engineering at the McKelvey School of Engineering. Woodrow Shew, a physicist at the University of Arkansas, was another co-author. That paper established criticality as a universal principle that could be

IonQ (NYSE:IONQ) Exceeds Q2 CY2026 Expectations, Guides for Strong Full-Year Sales

IonQ (NYSE:IONQ) Exceeds Q2 CY2026 Expectations, Guides for Strong Full-Year Sales Adam Hejl / August 5, 2026 Quantum computing company IonQ (NYSE:IONQ) reported Q2 CY2026 results beating Wall Streetâs revenue expectations, with sales up 287% year on year to $80.05 million. The companyâs full-year revenue guidance of $285 million at the midpoint came in 6.2% above analystsâ estimates. Its non-GAAP loss of $0.33 per share was 10.9% below analystsâ consensus estimates. Is now the time to buy IonQ? Find out in our full research report. IonQ (IONQ) Q2 CY2026 Highlights: - Revenue: $80.05 million vs analyst estimates of $66.5 million (287% year-on-year growth, 20.4% beat) - Adjusted EPS: -$0.33 vs analyst expectations of -$0.30 (10.9% miss) - Adjusted EBITDA: -$120.3 million (-150% margin, 229% year-on-year decline) - The company lifted its revenue guidance for the full year to $285 million at the midpoint from $265 million, a 7.5% increase - Operating Margin: -421%, up from -776% in the same quarter last year - Free Cash Flow was -$114 million compared to -$53.77 million in the same quarter last year - Market Capitalization: $15.57 billion Company Overview Founded by quantum physics pioneers from the University of Maryland and Duke University in 2015, IonQ (NYSE:IONQ) develops quantum computers that process information using trapped ions to solve complex computational problems beyond the capabilities of traditional computers. Revenue Growth A companyâs long-term sales performance is one signal of its overall quality. Any business can put up a good quarter or two, but many enduring ones grow for years. With $246.5 million in revenue over the past 12 months, IonQ is a small player in the business services space, which sometimes brings disadvantages compared to larger competitors benefiting from economies of scale and numerous distribution channels. On the bright side, it can grow faster because

Rigetti Expands Hybrid <b>Quantum</b> HPC Push With New NSF Project

Rigetti Expands Hybrid Quantum HPC Push With New NSF Project Rigetti Computing RGTI announced that it is partnering with Hewlett Packard Enterprise ("HPE") and the Pittsburgh Supercomputing Center ("PSC") to build TangleLab, a hybrid quantum-classical supercomputing testbed backed by a $5 million grant from the National Science Foundation ("NSF"). As part of the initiative, Rigetti will provide its 9-qubit Novera quantum computing system, which will be integrated with a classical high-performance computing (HPC) platform. The project extends Rigetti's existing collaboration with HPE and is aimed at advancing hybrid quantum-classical computing workflows for research institutions, government organizations and enterprises. Construction of the system is scheduled to begin in September 2026, with full operations expected in 2027. The latest collaboration further strengthens Rigetti's strategy of embedding its superconducting quantum systems into real-world HPC environments, an area widely viewed as one of the most promising near-term applications for quantum computing. Beyond supplying quantum hardware, the project gives researchers and educators access to a dedicated hybrid computing platform for developing and benchmarking quantum-classical applications, while reinforcing Rigetti's position in the growing quantum-HPC ecosystem. The announcement also builds on the company's expanding list of strategic collaborations, supporting its broader efforts to accelerate commercial adoption of hybrid quantum computing solutions. Peers Updates IonQ's IONQ continues to strengthen its position in the quantum computing market through strategic acquisitions and commercial expansion. The company recently completed the acquisitions of Capella Space and Lightsynq Technologies, broadening its capabilities across quantum networking, secure communications and space-based quantum infrastructure. IonQ has also secured new government and enterprise partnerships while advancing its roadmap toward large-scale, fault-tolerant quantum systems. These initiatives are expected to enhance its full-stack quantum ecosystem and support long-term commercial adoption. IBM IBM recently signed a definitive agreement to acquire HRL Laboratories' silicon-spin qubit business, strengthening its long-term quantum computing

AWS and JPMorganChase collaborate to advance <b>quantum computing</b> R&amp;D

AWS Quantum Technologies Blog AWS and JPMorganChase collaborate to advance quantum computing R&D This post was contributed by Martin Schuetz and Ruben Andrist from the Amazon Advanced Solutions Lab, and Romina Yalovetzky and Atithi Acharya from Global Technology Applied Research at JPMorganChase. Quantum researchers at JPMorganChase and the Amazon Advanced Solutions Lab are working together to explore how quantum technologies may help address complex optimization problems in finance and beyond. This sustained, multi-project research program has enabled shared methodologies and co-designed algorithms and experiments, deepening our understanding of how quantum and classical resources can work together in practice. We developed a novel hybrid (quantum-classical) approach for solving large-scale graph optimization problems, validated and tested through experiments on Amazon Braket. We used quantum devices as co-processors to augment advanced classical solvers, benchmark results on systems available today on Amazon Braket, and shape future experiments. In this post, we share some highlights from our collaboration. You’ll learn how we: 1. Built a decomposition pipeline that reduces portfolio optimization problems by ~80%, making them small enough for near-term quantum hardware. 2. Developed a compilation toolkit that has the potential to shrink qubit requirements by orders of magnitude for real-world graph problems. 3. Created qReduMIS, a hybrid algorithm where quantum devices serve as co-processors to classical solvers – achieving above ~89% average success rates on hard problem instances using QuEra’s Aquila device on Amazon Braket. A Suite of Tools for Near-Term Quantum Hardware Combinatorial optimization problems are ubiquitous across different areas in industry and science, with prominent examples in areas like transportation and logistics, telecommunications, manufacturing, and finance. Analog neutral-atom quantum machines based on Rydberg atoms provide a novel platform to design and implement quantum optimization algorithms, with scientists in both industry and academia searching for the most promising types of problems for which

Ultrathin Superconductors for Scalable <b>Quantum</b> Devices

Superconductors conduct electricity without resistance, and are essential for building quantum computers. When you make these materials a few atoms thick, they can help shrink down bulky quantum devices. These super-thin materials, like one called niobium diselenide, fall apart quickly in regular air. “Typically, once we make the material and remove it from its inert environment, it immediately starts to oxidize and degrade, ultimately becoming damaged,” explained Xudong Sheldon Zheng, a graduate student at MIT and co-lead author of the new research. Because of this rapid damage, scientists could usually only make tiny flakes of the material. Now, a team from MIT and other schools found a new way to make a large, stable sheet. Growing Superconducting Materials Traditionally, researchers grow the material first and then try to put a protective layer on top. However, the material starts breaking down before it gets covered. To solve this, the MIT team tried putting the protective layer down first. They placed a thin layer of carbon, called graphene, on top of a silicon dioxide base. Then they grew the superconductor in the tiny gap between those two layers. Advertisement “It took a long time for us to understand how the growth could happen underneath the graphene. Through collaboration and discussion, we eventually uncovered the mechanism for growing the material at the interface, and this solves a lot of problems and allows us to simplify our fabrication steps,” Zheng said. This created a smooth layer of material over an inch wide. Since it grew under the graphene, it was already protected from the air. Wiring It The next step was connecting this thin film to a circuit. “It is challenging to make a good electrical connection between this very thin material, which is only about 1 nanometer in thickness, and our electrodes, which

Iceland <b>Quantum Computing</b> Companies, The Complete Vendor Guide

The leading iceland quantum computing companies and institutions in 2026 form a very small, emerging ecosystem, and it is best to be honest about that from the start. Iceland has no commercial quantum companies at all. What the country does have is a university with genuine quantum-physics research, a national high-performance-computing centre, a large, energy-efficient green data-centre industry, and a place in Nordic quantum collaboration. Nine organisations and efforts define the iceland quantum computing companies landscape in this guide: the University of Iceland, its cleanroom, Reykjavik University, IHPC, the IHPC Quantum Simulation and Data Science Lab, Nordita and the Nordic Quantum network, atNorth, Verne, and Iceland’s early national quantum mapping. Why Iceland has no quantum companies yet Iceland’s quantum landscape is, honestly, very thin, and it is important to say so plainly. Iceland is a country of fewer than four hundred thousand people, and it has no commercial quantum companies, no quantum-hardware or quantum-software startups, and no national quantum programme of the kind that countries such as Finland or Denmark have built. Surveys of Nordic quantum activity have noted the absence of any quantum startup from Iceland. What Iceland does have is the beginnings of a research base and some genuine, distinctive infrastructure strengths. The University of Iceland carries out real quantum-physics research, the country runs a national high-performance-computing centre, and Iceland has a green data-centre industry that is among the most advanced in the world. The iceland quantum computing companies landscape is therefore best understood not as a vendor list but as an honest picture of a small country with research foundations, strong computing infrastructure, and a place in Nordic collaboration, from which a quantum effort could grow. The green-energy and data-centre advantage The most distinctive feature of the iceland quantum computing companies ecosystem is the country’s green-energy and

'Spooky' Particles Transit DC Suburbs, a Step Toward a <b>Quantum</b> Network | NIST

In early 2025, special signals wended their way through a fiber-optic highway strung above the streets and sidewalks of the Maryland suburbs. The arrival of those signals at their destination marks a significant step toward a long-held dream of building a “quantum network.” Researchers believe that this emerging technology could someday link quantum devices in ways that supercharge scientific research, enable ultrasecure communications and boost the power of future quantum computers. National Institute of Standards and Technology (NIST) researchers and collaborators reported this advance in the Journal of Optical Communications and Networking. Quantum networks depend on a special phenomenon called entanglement. Often described as “spooky action at a distance” (a translation of a phrase coined by Albert Einstein), entangled objects share a unified quantum state, meaning they cannot be described independently even if they are far apart. When one object from an entangled pair is measured, this action determines the results of a measurement made on the other. These long-distance links could reshape fields from astronomy to seismology to drug discovery. By sharing entangled photons, telescopes thousands of kilometers apart could someday collect and combine light from the same distant star or planet, yielding a much sharper image than any one telescope could on its own. Entangled sensors spread over an area could “listen” for tiny seismic disturbances and pinpoint a coming earthquake or volcanic eruption. Networks of entangled quantum computers, meanwhile, might someday crunch algorithms too complex for any single device, helping scientists simulate potential new drugs and materials. Another possible application: ultrasecure communications networks where any attempt at hacking would be easily detected. To unlock such benefits, however, scientists must first overcome multiple technical challenges. Among the biggest hurdles is finding a way to keep fragile entangled states alive outside the lab. Quantum networks gain their power by

D-Wave shows off its new entry in <b>quantum computing</b> race

D-Wave is a bit of an oddity in the quantum computing space, having been founded back in the last century. And its initial offering wasn’t a quantum computer like those being developed by IBM or Google. Instead, the company built what’s now called a quantum annealer, a machine that isn’t general-purpose but can solve a large class of optimization problems. While the hardware shares some similarities with the qubits used in gate-based quantum computers, it operates in a fundamentally different way. But a few years back, D-Wave started working on gate-based hardware, apparently choosing a somewhat unusual qubit technology called fluxonium. And this year, the company acquired a startup called Quantum Circuits that spun out of Yale University and has been developing what’s called a dual-rail qubit (the same technology used by Amazon), which promises to make most errors very easy to detect, simplifying error correction. On Wednesday, the company is publishing a paper in Nature that describes a key step in validating this dual-rail technology, showing that two of the qubits can be entangled without altering their best feature: Most are a single type that is easy to detect. Resonating The basic structure of a dual-rail qubit depends on making two linked resonators, which we’ll call left and right. If you place a single photon in the system and measure it, it will always be in either the left or right resonator. But it’s possible to place that single photon in a superposition of both left and right. Those are all the features you need to make a qubit. The nice thing about the dual-rail setup is that the most common error is simply the photon escaping the hardware. (This is sometimes referred to as an “erasure qubit,” as the loss of the photon erases the information it contains.)

Jim Cramer To Sell Bitcoin, Fears <b>Quantum Computers</b> In 3 Years

Jim Cramer plans to exit his entire bitcoin position following a warning from IBM Chairman and CEO Arvind Krishna about the rapidly approaching threat of quantum computing. Krishna cautioned investors to be cautious about quantum computers challenging modern cryptography within three to four years, a timeline that immediately prompted Cramer’s decision. The CNBC host’s comments spread quickly across social media, and the reaction soon overshadowed the original statement; this pattern, known as “inverse Cramer,” played out within minutes. While markets largely ignored the news, bitcoin traded near $63,764, even as Strategy, the company formerly known as Microstrategy, disclosed a sale of about 1,638 BTC earlier in the morning. The debate over quantum computing’s potential to break Bitcoin’s security has shifted from theory to a potential engineering problem, with recent estimates suggesting a reduction of roughly 20 times fewer qubits needed than earlier projections. Quantum Computing Threatens Bitcoin’s ECDSA Security This timeline, revealed during a July 30 interview, has reignited debate among cryptocurrency observers regarding the escalating threat posed by quantum computers to Bitcoin’s security infrastructure. Every major advancement in quantum hardware compels a reassessment of whether the risk remains theoretical or is evolving into a practical engineering challenge. Cramer’s decision stems from concerns about the cryptographic foundations of the Bitcoin network; every bitcoin address relies on the ECDSA signature system, built on the secp256k1 curve. A quantum computer with sufficient processing power, utilizing Shor’s algorithm, could theoretically calculate a private key from a corresponding public key, compromising the security of bitcoin holdings. However, the vulnerability isn’t evenly distributed across all bitcoin; the risk primarily affects addresses that have publicly revealed their keys through repeated use, older wallet formats, or during the brief window between transaction broadcast and confirmation. Researchers estimate roughly 30% of the total bitcoin supply, approximately 6 million

IonQ And Sandia Team Up To Build <b>Quantum Computers</b> For US Security

IonQ (NYSE: IONQ) and Sandia National Laboratories have formalized a collaboration with a memorandum of understanding, committing to jointly develop quantum technologies for U.S. national security. This partnership will advance quantum computing and networking capabilities at New Mexico’s Quantum Demonstration Facility, a hub for public-private innovation. “Big breakthroughs often happen when government and industry work together,” said IonQ Chairman and CEO Niccolo de Masi, adding that such partnerships “could help shape the future of quantum technology and play an important role in our economic and national security.” IonQ and Sandia will focus on co-design efforts, building on a history that includes Sandia fabricating the ion traps for IonQ’s earliest quantum computers. IonQ and Sandia Co-Design for U.S. National Security A collaboration between IonQ and Sandia National Laboratories formalizes a commitment to rapidly advance quantum computing capabilities for national security applications, building upon decades of prior work between the two entities. Sandia previously fabricated the ion traps foundational to IonQ’s earliest quantum computers, establishing a long-standing technical relationship now broadened by a new memorandum of understanding. This agreement signifies a deliberate strategy to integrate hardware and applications teams, accelerating the scaling of quantum computers and their interconnectivity. IonQ’s expanded presence in New Mexico supports a growing ecosystem dedicated to developing and deploying quantum systems, while the facility offers impartial verification of pathways toward utility-scale quantum computers, which is crucial for ensuring the reliability and performance of quantum systems intended for critical government missions. The MOU outlines exploration of technical areas including system optimization, device development, and characterization, all aligned with U.S. “Our partnership with IonQ leverages the strengths of both organizations to accelerate innovation in quantum computing and networking,” said Toby Townsend, Associate Laboratories Director for Deterrence, Science and Energy. IonQ, a publicly traded company listed on the NYSE, brings its

They've Got Next: The 40 Under 40 - Chelsea Darnell of Paul, Weiss

Chelsea Darnell Age: 38 Law Firm: Paul, Weiss, Rifkind, Wharton & Garrison Practice Area: M&A Title: Partner Location: New York Law School: University of Pennsylvania Law School Please describe two of your most substantial, recent wins in practice. One of the most rewarding parts of my practice is developing deep relationships with clients while helping them negotiate and execute complex transactions to achieve their business objectives. Helping Keurig Dr Pepper structure and navigate its $18.4 billion cross-border acquisition of JDE Peetâs over the past yearâand continuing to advise on their plans to spin off the combined companyâs coffee and refreshment beverage businesses into two standalone public companiesâhas been a recent highlight for me. I have also led the team advising IonQ, a leading quantum-computing company, on a series of six acquisitions and two university partnerships over a 12-month period. Iâve worked closely with the IonQ team, and my deep knowledge of their business and objectives has allowed me to help them strategically execute transformative transactions that are changing the quantum-computing and quantum-networking landscape. Highlights have included helping IonQ navigate a $1.075 billion cross-border acquisition of Oxford Ionics to accelerate its development of more powerful and high-fidelity quantum computers, a $1.8 billion cash-and-stock acquisition of semiconductor company SkyWater Technology, and acquisitions of Capella Space, Skyloom Global, Vector Atomic, and Seed innovations. Any one of these transactions would have been fun and challenging on its own, and I am very proud of the work weâve done to help the IonQ team with all of these acquisitions over such a short period of time. What was your favorite law school class? Did it shape your practice interests? My favorite law school class was, perhaps unsurprisingly, Corporations. I was very lucky to have the late Michael Wachter as my professor, and signing up for

Former Intel CEO Patrick Gelsinger Lavishes Praise On <b>Quantum Computing</b> Company's ...

Former Intel CEO Patrick Gelsinger has congratulated quantum computing company PsiQuantum for signing a $125 million agreement with the Defense Advanced Research Projects Agency (DARPA). PsiQuantum and DARPA have teamed up to investigate the feasibility of utility-scale quantum computers, which expand the technology from experimental setups to systems capable of solving complex problems. Quantum Computing Startup Supported By Former Intel CEO Patrick Gelsinger Marks Major DARPA Contract Win Gelsinger's latest remarks come after he shared quite a bit of optimism surrounding quantum computing last month in an interview. In an episode of the All-In Podcast in July, the former Intel executive discussed his time at the company back when it was the global leader in personal computing technology and the geopolitics of the semiconductor industry, which has placed the world's largest contract chip manufacturer, Taiwan's TSMC, at the center of global political tensions. The former Intel CEO also shared his take on the future of quantum computing. Being more optimistic than most, Gelsinger remarked that the technology could become viable by the end of this decade. Some industries that he predicted could benefit from quantum computing included logistics, which he believes would benefit from improved algorithmic computations. Now, in a LinkedIn post, Gelsinger congratulated PsiQuantum for its recent expanded agreement with DARPA. "Congratulations to the PsiQuantum team on this important milestone. DARPA's Quantum Benchmarking Initiative is raising the bar for the industry by focusing on measurable progress toward utility-scale quantum computing. Rigorous technical validation like this will help accelerate the entire quantum ecosystem," wrote the former Intel CEO. PsiQuantum, which develops silicon-photonics platforms, is currently aiming towards utility-scale quantum computing, which aims to use large-scale quantum computing to solve major problems. It operates on a modular architecture that combines chips, cryogenics and other systems to create a platform that can

<b>Quantum</b> Corridor, Ciena, and Toshiba Complete World's First 1.6 Tb/s <b>Quantum</b> ...

Quantum Corridor, Ciena, and Toshiba Complete World's First 1.6 Tb/s Quantum-Safe Optical Encryption Milestone on Live Commercial Network Trial combines high-speed optical encryption with post-quantum cryptography (PQC) algorithms and quantum key distribution (QKD) to ensure data confidentiality in the quantum era This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260804107016/en/ The trial comes as governments and enterprises accelerate planning for the post-quantum era. Governments across the globe are issuing mandates to ensure quantum-readiness to transition information systems to NIST-approved PQC standards, reinforcing the urgency for critical infrastructure operators and businesses to begin preparing the migration now. Conducted across Quantum Corridor’s live production network between data centers in By supporting both PQC and QKD, the solution gives network operators flexibility in how they mitigate the threat of quantum computers to today's encryption solutions, particularly from "harvest now, decrypt later" attacks. For enterprises and service providers, this approach offers a practical migration path to quantum-safe networking without requiring a wholesale replacement of existing infrastructure. “Quantum-safe networking is no longer a ‘future’ discussion,” said Ciena’s Waveserver platform delivers always-on, wire-speed, optical-layer AES-256-GCM encryption and supports NIST-certified PQC algorithms straight out of the box as part of its quantum-safe encryption solution. The trial also highlights that customers already deploying Ciena’s WL5e 800G encryption solution can benefit from the same level of data protection with support for PQC algorithms through a simple software upgrade, helping extend the value of current network investments. “The shift to quantum-safe communications is no longer optional for organizations handling sensitive data,” said "Preparing for the quantum era requires a layered approach to cybersecurity," said Quantum Corridor’s network is carrying customer traffic between its various data centers nodes, providing quantum-safe connectivity with encrypted channels secured via a co-propagating QKD system. The trial underscores how it can migrate to a