London-based Qoro Quantum has secured $750,000 in a pre-seed funding round to develop software infrastructure for hybrid quantum-classical computing. The round includes backing from Ada Ventures, Superangels Venture Fund, and the Polsky Center for Entrepreneurship and Innovation. Founded in 2024, Qoro Quantum is a deeptech company building software infrastructure for distributed quantum computing. Its platform provides a unified orchestration layer that connects classical systems, such as CPUs and GPUs, with emerging quantum processors, enabling hybrid applications to run across heterogeneous environments. As the industry continues to develop fully functional quantum computers, enterprises are already combining classical processors with early-stage quantum hardware to address complex challenges. However, integrating these systems remains resource-intensive, often requiring specialised expertise, significant time, and extensive custom code. Qoro’s software stack simplifies this process by reducing integration complexity and enabling diverse computing systems to operate as a unified environment. While the broader industry is racing to build physical quantum hardware, we are focused on the immediate software bottleneck required to actually use those machines, said Dan Holme, CEO of Qoro Quantum. The company’s platform includes a network stack and cloud-based control system that automates the execution of quantum algorithms, manages resource allocation, and synchronises multi-vendor computing clusters. By abstracting hardware complexity, it allows applications to be built once and deployed across high-performance and quantum computing environments. The funding will support the development of its hybrid quantum-classical software layer, as well as key engineering hires, grant co-funding, and accelerated product rollout ahead of its next funding round. Would you like to write the first comment? Login to post comments
Apr 9, 2026 · via tech.eu
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Apr 9, 2026 · via youtube.com
Program empowers start-up companies to conduct breakthrough quantum computing research with access to Cleveland Clinic’s IBM Quantum System One The Cleveland Clinic Quantum Innovation Catalyzer Program announced its newest cohort of start-up company awardees advancing quantum computing applications in healthcare and life sciences. The competitive program selected three early- and venture-stage companies from around the world that are using quantum computing to advance research and patient care. The awards support a wide array of research goals, including investigating how genetic variants cause rare diseases; enhancing AI to predict drug toxicity; and building quantum-enhanced simulations to predict real-time cardiovascular risk. Cleveland Clinic researchers will support the companies by providing expert guidance and access to IBM Quantum System One at Cleveland Clinic Main Campus, the first quantum computer dedicated to healthcare and life sciences research. Launched in 2023, the Cleveland Clinic Quantum Innovation Catalyzer Program provides early- and venture-stage companies with a 12-month immersive experience to explore quantum computing applications in biomedical research. “This unique program helps us connect with companies that have the potential to shape the future of healthcare through advanced computational methods,” said Lara Jehi, M.D., Cleveland Clinic’s Chief Research Information Officer and the Sondra J. and Stephen R. Hardis Endowed Chair for Research and Technology. “By collaborating with local and international start-up companies, we are building a quantum computing ecosystem that will help advance biomedical research and improve the lives of patients everywhere.” Through the program, the companies can collaborate and consult with Cleveland Clinic quantum and biomedical researchers in a growing quantum ecosystem catalyzed by the Cleveland Clinic-IBM Discovery Accelerator, a 10-year partnership aimed at advancing biomedical research through pioneering applications of quantum and advanced computing. This year’s selected companies will also receive an investment of up to $250,000 from K5 Tokyo Black Fund with an in-kind
Apr 9, 2026 · via newsroom.clevelandclinic.org
Oracle AI Database delivers Platinum-tier availability for mission-critical workloads, introduces Diamond-tier availability for ultra-critical workloads, and helps address new security issues posed by AI and quantum computing NEW YORK, April 9, 2026 /PRNewswire/ -- Oracle AI World Tour -- Oracle today announced a comprehensive series of enhancements to Oracle AI Database. These enhancements help customers achieve extreme availability and security for all database applications, and always-on, stock-exchange level availability for their most critical workloads without requiring application changes or extensive in-house expertise. "Oracle Database today powers over 90 percent of the world's largest enterprises, and tens of thousands of smaller enterprises, all of which require ultra-high availability and throughput for their mission-critical workloads," said Juan Loaiza, executive vice president, Oracle AI Database Technologies, Oracle. "Oracle AI Database 26ai on Exadata now delivers Platinum-tier availability with disaster failover times typically under 30 seconds, including for high-throughput multi-node clusters. This is up to 4X faster than Oracle Database 19c without requiring application changes or performance tradeoffs. For the most demanding applications, Oracle Distributed AI Database and Oracle GoldenGate can deliver Diamond-tier availability with disaster failover typically under three seconds. We have also introduced new security capabilities to help address emerging risks from quantum computing and AI-driven data breaches." Oracle Database's Gold-tier availability is widely deployed today by the majority of the largest enterprises and governments around the world. It uses Oracle's Real Application Clusters to transparently scale applications across multiple computers, and to protect from failures of individual computers. It also uses Oracle Active Data Guard to protect against disasters, site failures, and data failures. This Gold-tier availability achieves disaster failover times in seconds for single-computer applications and in low single-digit minutes for high-throughput multi-node clusters. Customers with Gold-tier availability are upgraded to Platinum-tier availability with disaster failover times typically under 30
Apr 9, 2026 · via prnewswire.com
Riverlane, a developer of quantum error correction (QEC) technology, has released performance metrics for its second-generation Deltaflow 2 system, demonstrating a mean latency of 16.32µs. This result was achieved using data from Google’s 2024 “Willow” experiment, which involved a distance-5 (d5) rotated surface code quantum memory test over one million rounds. The demonstrated latency is approximately four times lower than the 63µs reported in the original Google study. Furthermore, Riverlane reported that its maximum sub-shot latency—the time to process individual data windows—outperformed the previously published benchmarks by a factor of ten. Low latency is a critical requirement for real-time QEC because it determines the logical clock speed of a quantum computer. In operations such as magic state teleportation, a logical gate can only be executed after an error-corrected measurement result is issued. If this latency (τ) is too high, the execution of non-Clifford gates becomes impossible, stalling the progression toward universal fault-tolerant computing. Riverlane’s current results move the platform closer to the industry-recognized 10µs threshold required for utility-scale applications, such as factoring 2048-bit RSA integers. The Deltaflow 2 architecture achieves these speeds through a hardware-centric approach utilizing Field Programmable Gate Arrays (FPGAs). Key features include a proprietary Local Clustering Decoder (LCD), which is designed to decode syndromes in under 1µs per round. To manage the massive data throughput generated by a Quantum Processing Unit (QPU), the system employs a streaming windowing scheme. This allows the decoding graph to be processed continuously in “chunks” rather than waiting for an entire computational shot to conclude, preventing data backlogs during long-running experiments. A central component of the Deltaflow ecosystem is the Quantum Error Correction interface (QECi). In contrast to general-purpose data movement platforms like NVIDIA’s NVLink, QECi is a purpose-built, open-source specification designed specifically for QEC. While NVLink provides a generic transport layer
Apr 9, 2026 · via quantumcomputingreport.com
Tokyo – April 9, 2026 – TOPPAN Holdings Inc. (TYO: 7911) (TOPPAN Holdings), the National Institute of Information and Communications Technology (NICT), and ISARA Corporation (ISARA) have successfully conducted a proof of concept confirming the effectiveness of technology for seamless migration from current cryptography to Post-Quantum Cryptography (PQC) for certificate authority frameworks that form the base of the security infrastructure of internet communications. The security of internet-based communications is supported by digital certificates that verify the identities of communicating entities and public-key infrastructure1 based on certificate authorities that issue and sign certificates. However, there is a risk that current public-key cryptosystems could be vulnerable to attacks from quantum computers in the future, necessitating a prompt migration to PQC. At the same time, the transition phase could see service disruptions or outages when new cryptographic algorithms are applied to root certificate authorities, which serve as the foundational trust anchors for security infrastructure. ISARA has developed digital certificates issued via a secondary crypto-agile root certificate2 to facilitate migration from current cryptography such as ECDSA3 to PQC algorithms such as ML-DSA.4 In the proof of concept, this secondary root certificate was integrated into a smart card system developed by TOPPAN Holdings on a quantum cryptography network testbed constructed by NICT. The ability to transition smoothly to PQC without disruption to existing authentication infrastructure was demonstrated through simulation of a transitional phase ecosystem in which both current cryptography and PQC are used for smart-card-enabled ID verification and internet access. This will help enable a phased migration to security levels sufficient to counteract the threat of quantum computers without interrupting services in sectors such as healthcare, finance, and government, where confidentiality must be maintained for extended periods. A part of the work was performed for Council for Science, Technology and Innovation (CSTI) Cross-ministerial Strategic Innovation
Apr 9, 2026 · via holdings.toppan.com
The Taiwanese government has launched the second phase of its quantum research subsidy program, with the National Center for High-performance Computing (NCHC) set to build an HPQC heterogeneous hybrid computing system. Models such as those from Amazon...
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Apr 9, 2026 · via digitimes.com
A compilation-driven framework accurately estimates the resources required for computation, addressing a key hurdle in realising practical fault-tolerant quantum computers. Colin Campbell and colleagues at University of Chicago bridge the gap between hardware design and circuit implementation, offering a more nuanced approach than existing methods. The framework translates quantum circuits into fundamental operations with defined physical costs, enabling rapid assessment of different architectural choices, particularly for neutral atom quantum computers. Applying this to quantum simulation and optimisation tasks using the surface code, the researchers identify key architectural trends, notably the importance of efficient qubit movement and frugal routing as problem sizes increase, suggesting dual-species arrays with controlled movement could pave the way for near-term quantum advantage. Qubit movement unlocks substantial gains in neutral atom quantum circuit compilation Access to movement within neutral atom quantum computers reduces circuit compilation time by a factor of two, a feat previously unattainable without significant architectural redesign. Neutral atom qubits offer a promising platform for quantum computation due to their long coherence times and all-to-all connectivity potential, but realising this potential requires overcoming challenges related to qubit control and routing. Previously, accurately modelling the interaction between qubit routing and gate overhead proved impossible due to the complexity of simulating realistic hardware constraints, but this framework now enables that assessment. The core innovation lies in a compilation pipeline that explicitly accounts for the physical costs associated with qubit movement, gate operations, and measurement. This allows for a more holistic evaluation of architectural trade-offs, moving beyond simplified analytical models. Translating quantum circuits into logical primitive operations with defined physical costs rapidly assesses architectural choices, revealing that routing and qubit movement become dominant bottlenecks as problem size increases; this highlights the potential of dual-species arrays with controlled qubit movement for near-term quantum advantage. The framework decomposes complex quantum
Apr 9, 2026 · via quantumzeitgeist.com
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Apr 9, 2026 · via lloydsbankinggroup.com
Bitcoin has 3–5 years to prepare for quantum risk, says Bernstein Advances in quantum computing could eventually pose a threat to Bitcoin’s cryptographic security, but the risk remains manageable and unlikely to cause existential disruption, according to a new research report by Bernstein. In the report, the Bernstein team — Gautam Chhugani, Mahika Sapra, Sanskar Chindalia and Harsh Misra — described quantum computing as a “manageable upgrade cycle” rather than an “existential risk.” Recent breakthroughs, including research from Google showing a significant reduction in the resources required to break modern encryption, have accelerated the timeline for potential threats. However, building quantum computers powerful enough to compromise Bitcoin (BTC) remains years away due to major technical hurdles and high costs. Bernstein estimates the crypto industry has roughly three to five years to prepare for post-quantum security upgrades, allowing time to transition toward quantum-resistant cryptographic standards. The transition would likely be handled by Bitcoin’s open-source developer community and core contributors, who are responsible for proposing and implementing protocol upgrades through consensus. Quantifying the quantum risk for Bitcoin Quantum computing differs from classical computing in that it uses “qubits,” which can encode multiple states simultaneously. This enables algorithms that, in principle, could break widely used encryption methods, including those used to secure Bitcoin wallets. Still, the risk is not uniform across the network. According to Bernstein, vulnerabilities are primarily concentrated in older Bitcoin wallets and addresses that reuse public keys, which are more exposed to potential attacks. Newer wallet formats and best practices, such as avoiding address reuse, significantly reduce this risk. Bitcoin’s mining process, which relies on SHA-256 hashing, is not considered meaningfully vulnerable to quantum attacks or quantum computing breakthroughs. Bernstein believes certain Bitcoin address types — specifically pay-to-public-key (P2PK), pay-to-multisig (P2MS) and pay-to-Taproot (P2TR) — are among the most vulnerable
Apr 8, 2026 · via tradingview.com
In brief - Bernstein says quantum computing poses a challenge to Bitcoin but represents a manageable long-term upgrade cycle. - Blockstream CEO Adam Back said current quantum hardware remains extremely limited and far from breaking Bitcoin cryptography. - Developers are already working on quantum-resistant cryptography as part of a future protocol transition. The race between quantum computers and Bitcoin’s cryptography has become a recurring theme in the cryptocurrency industry. But even as anxieties over Bitcoin’s “Q-day” grow, a new report from investment firm Bernstein says the outcome is unlikely to be catastrophic for the world’s largest cryptocurrency. Instead, the firm argues quantum computing should be treated as a long-term upgrade cycle for Bitcoin and the broader crypto industry rather than an existential threat to the network. “The risk is neither existential, nor novel, and also not limited to crypto,” Bernstein wrote, noting that quantum computing also posed a threat to everything from financial services, military, and healthcare. According to Bernstein, the highest threat from quantum computing is to the 1.7 million BTC, around $116.6 billion, in legacy wallets from the days when Satoshi Nakamoto was still active online. That’s because this stash of Bitcoin was stored in early address formats that expose public keys on the blockchain and could be targeted in a “harvest now, decrypt later” attack. For newer encryption protocols, chains, and crypto-linked real-world assets, the threat is limited to some unsafe practices that can be mitigated and managed, the firm said. Bernstein also emphasized that quantum computing won’t impact Bitcoin mining in the near future. “Bitcoin mining has no realistic risk from [quantum computers] based on Shor’s algorithm, as SHA encryption used in mining is quantum safe—several millions of years even after recent improvements, including Grover’s algorithm.” Blockstream CEO Adam Back, a Bitcoin pioneer, who was recently
Apr 8, 2026 · via decrypt.co
During a recent episode of the "All Things Markets" podcast, co-hosts Anthony Scaramucci and Mike Novogratz tackled the looming quantum threat. Scaramucci noted the alarming Google findings, but quickly pointed out that heavyweights like Coinbase CEO Brian Armstrong and MicroStrategy's Michael Saylor are already "on the case." For Novogratz, CEO of Galaxy Digital, the technology itself isn't the primary hurdle; the real challenge lies in network governance. "The real case is convincing the Bitcoin core developers that here's the path and we all should go on it because it's existential for Bitcoin," Novogratz explained. "I think it'll happen. I'm glad these guys are all on the case." A fully realized quantum computer capable of running algorithms to break current cryptographic standards would theoretically expose all existing Bitcoin wallets, but Novogratz dismissed the panic as premature. The Bitcoin network is entirely software-based and can be upgraded via community consensus long before quantum hardware reaches that critical threshold. "I think in some ways this helps Bitcoin," Novogratz said. "Like, people aren't stupid, right? You're going to have quantum-resistant changes made to the code as this comes. And so, I think there's more hoopla around this than need be." Developers and the billions of dollars in institutional capital currently backing the network would not simply let a quantum computer destroy the blockchain, according to Novogratz. "It would be the most nihilistic thing on the planet to say we're not changing the code," he stated. "And so, I think they'll change the code." Bitcoin’s liquidity crisis is over Novogratz has noted that Bitcoin is currently stuck in a low-volume holding pattern between buyers and sellers. However, he emphasized that the massive drop to $60,000 flushed out the market's weak hands in what he called a "liquidity puke." Novogratz remains highly optimistic about institutional adoption
Apr 8, 2026 · via u.today
Florence Paquette and colleagues at the University of Sherbrooke have created a quantum algorithm for pricing discretely monitored lookback options within the Black-Scholes framework. The algorithm reformulates the pricing problem as a quantum evolution process and uses the Variational Quantum Imaginary Time Evolution method to address challenges arising from jump conditions in these path-dependent options. The method offers a key step towards using quantum computers to price complex financial instruments with non-smooth dynamics, potentially providing advantages over classical Monte Carlo simulations. Quantum algorithms reduce qubit needs for complex option pricing A sequential quantum formulation, utilising dedicated jump Hamiltonians, reduced qubit requirements by 33% compared to classical Monte Carlo simulations for equivalent accuracy in pricing discretely monitored lookback options. This reduction in qubit count is particularly noteworthy given the limitations of current quantum hardware, where the number of available qubits is a critical constraint. The Black-Scholes model, a cornerstone of modern financial mathematics, typically relies on assumptions of continuous price movements. However, real-world markets often exhibit discrete jumps, sudden, significant price changes caused by events like earnings announcements or geopolitical shocks. Discretely monitored lookback options are path-dependent, meaning their payoff is determined not just by the final asset price, but by the entire trajectory of the underlying asset over a specified period, making them significantly more complex to price than standard European options. The 33% threshold is significant because it suggests the potential for solving complex financial problems on near-term, limited-qubit quantum hardware, something previously unattainable. The application of the Variational Quantum Imaginary Time Evolution method, or VarQITE, successfully prices options with ‘jump’ conditions, sudden changes in value, which are absent in standard option types and pose a strong challenge for traditional modelling. These jumps introduce discontinuities into the pricing partial differential equation (PDE), making it difficult to solve using conventional
Apr 8, 2026 · via quantumzeitgeist.com
Here’s what you’ll learn when you read this story: - Current quantum computers don’t possess enough qubits to crack classical encryption methods, but a flurry of new research suggests that the threshold for such a breach could require drastically fewer qubits than previously estimated. - Until recently, researchers thought that 20 million qubits would be needed to crack schemes like elliptic-curve cryptography (ECC), but a new preprint from Caltech revises that number down to just 10,000. - This improved performance is mostly derived from improved error correction through non-local communication, which increases a quantum computer’s fault tolerance. The forthcoming era of quantum computers holds a lot of promise. Qubits—the quantum version of classical bits—have the potential to solve immensely complicated problems that today’s computers could never hope to tackle, thanks to their ability to leverage the quantum mechanical properties of superposition and entanglement. But with great power comes great responsibility, and these quantum technologies also have the dangerous ability to break classic cryptographic schemes like elliptic-curve cryptography (ECC, which is the backbone of cryptocurrencies like bitcoin) and 2048-bit RSA (one of the oldest public-key cryptosystems), which ensure the security of our online lives. Until relatively recently, researchers estimated that quantum computers likely needed at least 20 million qubits in order to break through these types of cryptosystems, but a new study by researchers at Caltech has drastically revised those numbers down to as low as 10,000 qubits. At the moment, no quantum computer is close to this number—Caltech recently revealed its 6,100-qubit array in late 2025, and most commercial quantum computers hover around 1,000 qubits max. But the newly revised estimate—detailed in a paper uploaded to the preprint server arXiv— means that an encryption apocalypse is probably closer than we thought. At the heart of this breakthrough is a new
Apr 8, 2026 · via popularmechanics.com
In brief - Cloudflare aims to make its platform fully post-quantum secure by 2029. - New quantum research is compressing security timelines across the tech industry. - The same cryptographic math protects internet authentication and Bitcoin signatures. Cloudflare says it plans to make its entire platform resistant to quantum computing attacks by 2029, accelerating efforts to replace internet cryptography that powerful quantum machines could eventually break. In a blog post on Tuesday, the web infrastructure company said it is prioritizing post-quantum authentication, warning that compromised authentication keys could allow attackers to impersonate servers, access systems, or distribute malicious software updates. “The migration to post-quantum authentication is more complex than the transition for encryption because it involves more steps,” Sharon Goldberg, senior director of product management at Cloudflare, told Decrypt. “With post-quantum encryption upgrades to TLS, we only need to upgrade the TLS client and the TLS server.” Transport Layer Security, or TLS, is the cryptographic protocol that secures internet connections between clients and servers, protecting data exchanged by websites, applications, and online services. Cloudflare’s timeline reflects growing concern of ‘Q-Day,’ the theoretical yet increasingly plausible day when a practical quantum computer comes online. While experts once placed Q-Day decades away, new research, including by IBM and Google, puts the date closer to 2032. “Our decision to accelerate our post-quantum roadmap–especially authentication–was triggered by recent breakthroughs in quantum computing, along with Google now also targeting 2029 for a full rollout of post-quantum authentication,” Goldberg said. Cloudflare’s post echoed an announcement last month by Google, which said it plans to be quantum-resistant by 2029, which the company said helped trigger the accelerated timeline. “All of this suggests that Q-Day might come sooner than expected,” warning that after Q-Day, an adversary armed with a quantum computer could break into any system not protected
Apr 8, 2026 · via decrypt.co
New research says quantum computers won’t break Bitcoin mining — but here’s what could A new study challenges fears of quantum mining dominance, arguing that real-world constraints make it impractical while highlighting cryptographic risks instead. A new academic study is challenging one of crypto’s most widely discussed risks — that quantum computers could one day overpower Bitcoin’s mining system. The paper, Kardashev-scale Quantum Computing for Bitcoin Mining, finds that while quantum algorithms can theoretically speed up mining, the real-world requirements make such an attack impractical at any foreseeable scale. Instead, the research points to a different, more credible quantum risk — one that targets Bitcoin’s cryptographic foundations rather than its mining process. Quantum mining advantage breaks down in practice The idea behind quantum mining is rooted in Grover’s algorithm, which can speed up search processes. Applied to Bitcoin, this could, in theory, allow quantum miners to find valid blocks faster than classical machines. However, the study argues that this advantage collapses under real-world constraints. Quantum mining would require complex reversible hashing operations, extensive error correction, and highly coordinated systems operating within Bitcoin’s 10-minute block window. Each of these factors adds significant overhead, reducing the practical speed advantage. Even under optimistic assumptions, the resources required are extreme. The paper estimates that a viable quantum mining setup would require millions of qubits and energy consumption on the scale of a national power grid. At current Bitcoin difficulty levels, those requirements approach those of a Kardashev Type II civilization, which would harness energy at a stellar scale. In short, the gap between theory and reality remains vast. The real constraint: time and scale Bitcoin’s mining process is not just about computational power — it is also time-bound. Because the network adjusts difficulty to maintain a roughly 10-minute block interval, any miner must operate
Apr 8, 2026 · via ambcrypto.com
IQM Quantum Computers has achieved a first by selling a 54-qubit quantum system to Poland’s Galaxy Systemy Informatyczne, marking the initial commercial adoption of quantum computing by a private enterprise. The Radiance system, slated for installation in the fourth quarter of 2026, will be the most advanced quantum computer in Poland, powering applications in space technology, finance, and energy. This deployment provides Galaxy with complete technological independence, allowing them to maintain quantum workloads on-site and avoid reliance on external cloud providers. “The installation of the IQM Radiance 54-qubit quantum computer in our data center is a turning point not only for Galaxy, but for the entire Polish digital economy,” said Jacek Michalski, CEO of Galaxy Systemy Informatyczne, reinforcing Poland’s growing presence within the European quantum ecosystem. IQM Delivers 54-Qubit Radiance System to Galaxy This deployment extends IQM’s footprint, adding to existing installations in Germany, Finland, Italy, and Spain, and solidifies the company’s position as a leading provider of quantum hardware. The strategic implications for Galaxy are considerable; the company will gain complete control over its quantum workloads, bypassing reliance on external cloud-based quantum services. This on-site capability is intended to foster innovation across sectors including space technology, finance, and energy, while simultaneously bolstering Poland’s growing quantum ecosystem and supporting talent development. IQM’s CEO and Co-founder, Jan Goetz, emphasized the broader impact of this sale, stating, “The deployment of our quantum computer at Galaxy demonstrates that we are building enterprise-ready products enabling customers to build their own capabilities.” With 21 quantum systems sold to 13 customers globally, IQM is focused on building a robust quantum ecosystem through accessible, transparent hardware and software solutions, and is actively pursuing a dual listing on the Helsinki and U.S. stock exchanges. Poland is rapidly establishing itself as a key player in the European quantum technology
Apr 7, 2026 · via quantumzeitgeist.com
While artificial intelligence (AI) is all the rage in the tech investing realm right now, quantum computing is the next emerging technology. Quantum computing could change what technologies are feasible, including some aspects of AI. If it can successfully be developed to commercial viability, this technology will take the world by storm, and investors will want to be positioned to take advantage of its growth years in advance of when it actually occurs, as the market will price huge anticipated growth into shares as that hoped-for success gets closer. Indeed, many quantum computing stocks have already experienced huge run-ups, including D-Wave Quantum (QBTS 2.83%). Since the start of 2024, D-Wave's stock is up an incredible 1,460%. While that sounds like an impressive gain (and it is), at its peak last fall, D-Wave was up nearly 5,000%. This makes me wonder if the stock could return to that peak in the near future. Is it too late to buy D-Wave Quantum's stock? Or is now a perfect time? D-Wave is taking a different approach to quantum computing Most of the companies attempting to develop quantum computers are focused on relatively general-purpose machines. D-Wave Quantum isn't. It's working on a technology known as quantum annealing, which is designed to find the lowest or nearly the lowest energy states in a system. This makes it perfect for finding solutions for optimization problems like those that come up in logistic networks and AI inference. While the variety of tasks for which a quantum annealing system would be suitable is limited compared to what a general-purpose quantum computer would be useful for, D-Wave's technology could be applied to some of the areas where quantum computing is expected to be brought to bear first. In fact, D-Wave has already used its systems to help multiple businesses
Apr 7, 2026 · via fool.com
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Apr 7, 2026 · via zdnet.com
Imagine a microchip on a satellite in low Earth orbit. Temperatures swing from minus 85 degrees Fahrenheit to over 250 F. In one year, it is bombarded with over 100 times the radiation dose the average person experiences naturally on Earth. And if it needs new parts, well, it will have to wait a decade or so. At Arizona State University, researchers and students in the Extreme Environments Lab test semiconductor technologies under some of the harshest conditions. The lab serves the Southwest Advanced Prototyping, or SWAP, Hub, supporting government and industry partners in designing technologies that are reliable in demanding settings. This capability is critical across a wide range of applications — from space stations and missile defense systems to geothermal energy and oil exploration equipment deep underground. It also supports radiation therapy, nuclear energy systems and advanced scientific tools such as quantum computers. ASU's SWAP Hub is part of the Department of Defense’s Microelectronics Commons. It is the only regional hub with comprehensive infrastructure for testing electronics in extreme temperature and radiation environments. By involving students at every stage, the lab helps them gain in-demand skills and hands-on experience that translate directly to career opportunities. What happens during extreme environment testing? “Imagine equipment in space. You can't replace parts easily. Things need to last for 10 to 20 years up there under extreme conditions,” says Hugh Barnaby, who leads extreme environment reliability efforts in the SWAP Hub. That reality underscores why developers want to ensure their technologies perform as intended. “There are different classifications for specifying whether these applications can work in certain environments. For us in SWAP Hub, we are working with the extreme environment specifications, which is way outside of the bounds of even military specifications in terms of temperature operation,” says Barnaby, who is also
Apr 7, 2026 · via news.asu.edu