OptQC secures funding from Nissay Capital's sustainability fund for room-temperature quantum computer
● 5 hours ago
Nissay Capital has invested in OptQC, a deep-tech startup developing optical quantum computers that operate at room temperature and pressure. The investment comes from Nissay Capital's Sustainability Solutions Fund No. 1.
OptQC, established in September 2024 and based on research from the University of Tokyo, is developing quantum computing technology that consumes less energy and requires simpler control systems compared to other approaches. The company's optical quantum computers aim to address issues of massive power consumption and heat generation whilst delivering significantly enhanced computing capabilities.
The technology has potential applications across multiple industries, including logistics optimisation, development of new materials and energy solutions to reduce CO2 emissions, and drug development for intractable diseases. OptQC has already delivered its first machine to the National Institute of Advanced Industrial Science and Technology and established partnerships with major corporations.
Source: prtimes.jp
Aug 24, 2026 · via app.dealroom.co
Global services activity is picking up again, with recent US and UK PMI readings pointing to resilient consumer driven growth. That kind of backdrop keeps attention on leaders with skin in the game. Founder led companies often tie personal reputations to long term outcomes, which many investors find compelling. This article highlights three stocks from the Founder Led Companies screener that showcase this legacy focused approach. The three founder led stocks covered below are just a sample, and the full screen surfaces 88 more companies with equally legacy focused stories that are not covered here. If you want to identify and analyze the founder led businesses that best fit your style, go straight to the Founder-Led Companies screener. Overview: Aritzia is a Vancouver based women’s apparel retailer that designs and sells its own brands across boutiques and e commerce in Canada and the United States, with founder influenced leadership helping shape everything from product design to store experience. The business focuses on curated, in house labels and a consistent boutique feel that reflects the legacy built by its long tenured management team. Operations: Aritzia generates about CA$4.0b in annual apparel revenue, with roughly CA$1.5b from Canada and CA$2.5b from the United States. Market Cap: CA$15.0b For investors who care about founder led legacies, Aritzia offers a clear case study in how long term leadership can shape a focused apparel and boutique model, especially as it expands in the U.S. and invests in digital channels. Earnings and margins have been strong under this playbook, supported by seasoned management and an independent board that still preserves founder influence. The opportunity is that continued U.S. growth, new boutiques and digital investments keep reinforcing that brand and scale story. The risk is that heavy spending on expansion, marketing and inventory, plus concentration in women’s
Aug 24, 2026 · via simplywall.st
Russia has developed a new technology for the production of superconducting integrated circuits that is based on tantalum. This technology has the potential to improve the country’s position in the rapidly evolving field of quantum computing. The technology was developed by researchers at the Quantum Park of Bauman Moscow State Technical University and the Dukhov Automatics Research Institute (VNIIA). It has already demonstrated resonator quality factors of approximately 10 million in the single-photon regime. According to the developers, the first quantum co-processors that will be used on the new tantalum platform have already been contracted for delivery in autumn 2026. A New Material Platform for Quantum Computing The significance of the development lies not simply in producing another superconducting chip but in establishing a domestic manufacturing process for tantalum-based superconducting integrated circuits. These circuits are regarded as a critical technology for superconducting quantum processors due to their ability to lengthen the lifespan of fragile quantum states and reduce energy losses. The Russian work has been demonstrated on cryogenic microwave resonators, which are critical test structures for superconducting quantum electronics. In accordance with Bauman MSTU, the technology has advanced beyond laboratory experiments and is now in the challenging process of being integrated into serial production. The university has contracted the first deliveries of quantum co-processors that are based on the tantalum platform for autumn 2026. The research was conducted as part of the Bauman DeepTech strategic technology project on exaflops hybrid computing, which is part of Russia’s Priority-2030 program. The underlying scientific results were published in Applied Physics Reviews in 2026. Why Tantalum Matters In superconducting quantum circuits, tantalum is becoming an important alternative to more established materials like aluminum. Nevertheless, the obstacle is that tantalum thin coatings can develop in a variety of crystalline phases. The alpha phase is of
Aug 24, 2026 · via frontierindia.com
Readers hoping to buy Onward Holdings Co., Ltd. (TSE:8016) for its dividend will need to make their move shortly, as the stock is about to trade ex-dividend. The ex-dividend date is usually set to be two business days before the record date, which is the cut-off date on which you must be present on the company's books as a shareholder in order to receive the dividend. It is important to be aware of the ex-dividend date because any trade on the stock needs to have been settled on or before the record date. Accordingly, Onward Holdings investors that purchase the stock on or after the 28th of August will not receive the dividend, which will be paid on the 10th of November. The company's next dividend payment will be JP¥16.00 per share. Last year, in total, the company distributed JP¥33.00 to shareholders. Based on the last year's worth of payments, Onward Holdings stock has a trailing yield of around 4.3% on the current share price of JP¥772.00. Dividends are a major contributor to investment returns for long term holders, but only if the dividend continues to be paid. That's why we should always check whether the dividend payments appear sustainable, and if the company is growing. Dividends are typically paid from company earnings. If a company pays more in dividends than it earned in profit, then the dividend could be unsustainable. Onward Holdings paid out a comfortable 38% of its profit last year. A useful secondary check can be to evaluate whether Onward Holdings generated enough free cash flow to afford its dividend. Onward Holdings paid out more free cash flow than it generated - 191%, to be precise - last year, which we think is concerningly high. It's hard to consistently pay out more cash than you generate without
Aug 24, 2026 · via simplywall.st
A hybrid quantum-classical computing approach streamlines complex calculations by reformulating a key challenge in drug discovery: identifying how molecules bind to target proteins. This new method tackles molecular docking by transforming it into a graph-based problem solvable with advanced encoding techniques; this allows for more efficient use of computational resources while maintaining key optimisation structures. A new computational method has been devised for molecular docking, integrating both classical and quantum computing techniques to identify how molecules bind to target proteins. The team reformulated complex calculations as a graph-based problem, simplifying the search for optimal molecule arrangements within a protein’s binding site. The approach uses advanced encoding which efficiently represents information using qubits, the basic units of quantum information, reducing demand on processing power whilst preserving essential optimisation features. A new computational approach identifies how molecules bind to proteins, vital in designing effective drugs. Molecular docking requires immense computing power due to the sheer number of potential arrangements between drug candidates and their target proteins; it is like trying every possible key in a lock with billions of keys to test. The team reformulated this complex task as a graph-based problem, focusing on finding the most connected group within that network, akin to highlighting the biggest circle of friends where everyone knows each other. one hundred qubits molecular docking is a vital computational task in drug discoveryThe advancement provides a versatile platform to address increasingly intricate drug discovery challenges previously impossible due to substantial computing needs. Reformulating molecular docking as a graph-based combinatorial problem enabled efficient encoding with fewer resource demands while maintaining key optimisation structures vital for precise results. Employing a variational full-basis encoding strategy, representing data via Bloch sphere vectors, compressed information onto fewer qubits than conventional methods allowing execution on a superconducting quantum computer. Successful completion of docking
Aug 23, 2026 · via quantumzeitgeist.com
- United States - / - Software - / - NasdaqGS:NCNO Is nCino’s (NCNO) D&B Data Alliance Quietly Redefining Its Competitive Moat in Compliance Tech? - Dun & Bradstreet and nCino recently announced a past alliance to embed D&B’s verified business identity and risk data into nCino’s Client Lifecycle Management platform, initially rolling out to EMEA institutions beyond the UK. - This integration aims to cut duplicate Know Your Customer work by using a single, audit-ready data source across onboarding, loan origination, and continuous client monitoring. - Next, we’ll examine how embedding D&B’s continuous risk and ownership monitoring inside nCino’s platform may influence its investment narrative. This technology could replace computers: discover 24 stocks that are working to make quantum computing a reality. nCino Investment Narrative Recap To own nCino, you need to believe that banks will keep consolidating their tech stacks and pay for a unified cloud platform that improves efficiency across onboarding and lending. The Dun & Bradstreet alliance directly supports that thesis by deepening nCino’s role in KYC and client monitoring, which could reinforce its near term catalyst of broader platform adoption in EMEA. It also highlights the ongoing risk that heavy integration work and data complexity keep pressuring margins. Among recent announcements, Raiffeisenbankengruppe Oesterreich’s decision to standardize corporate lending on nCino across multiple European markets feels most connected to the D&B news. Both developments point to nCino’s push to turn international banks into full lifecycle customers, which ties closely to the catalyst of expanding beyond North America and increasing cross sell across onboarding, commercial, and analytics products. Yet while partnerships like this can strengthen the story, investors should also be aware that rising integration and compliance demands could... Read the full narrative on nCino (it's free!) nCino's narrative projects $776.0 million revenue and $117.4 million earnings
Aug 23, 2026 · via simplywall.st
Abstract The expected emergence of cryptographically relevant quantum computers (CRQCs) will represent a singular discontinuity in the history of digital security, with wide ranging impacts. This whitepaper seeks to elucidate specific implications that the capabilities of developing quantum architectures have on blockchain vulnerabilities and potential mitigation strategies. First, we provide new resource estimates for breaking the 256-bit Elliptic Curve Discrete Logarithm Problem over the secp256k1 curve, the core of modern blockchain cryptography. We demonstrate that Shor's algorithm for this problem can execute with either $\leq 1200$ logical qubits and $\leq 90$ million Toffoli gates or $\leq 1450$ logical qubits and $\leq 70$ million Toffoli gates. In the interest of responsible disclosure, we use a zero-knowledge proof to validate these results without disclosing attack vectors. On superconducting architectures with $10^{-3}$ physical error rates and planar connectivity, those circuits can execute in minutes using fewer than half a million physical qubits. We introduce a critical distinction between ``fast-clock'' (such as superconducting and photonic) and ``slow-clock'' (such as neutral atom and ion trap) architectures. Our analysis reveals that the first fast-clock CRQCs would enable ``on-spend'' attacks on public mempool transactions of some cryptocurrencies. We survey major cryptocurrency vulnerabilities through this lens, identifying systemic risks associated with advanced features in some blockchains such as smart contracts, Proof-of-Stake consensus, and Data Availability Sampling mechanism, as well as the enduring concern of ``abandoned'' assets. We argue that technical solutions would benefit from accompanying public policy and discuss various frameworks of ``digital salvage'' to regulate the recovery or destruction of dormant assets while preventing adversarial seizure. We also discuss implications for other digital assets and tokenization as well as challenges and successful examples of the ongoing transition to Post-Quantum Cryptography (PQC). Finally, we urge all vulnerable cryptocurrency communities to join the migration to PQC without delay.
Aug 23, 2026 · via research.google
A new method converts quantum circuits used in simulating nuclear magnetic resonance (NMR) into more efficient forms. Previously these circuits were narrow and deep, limiting performance on current computers. Now they can be reshaped to be wider and shallower through a “fan-out” approach which encodes each component of the simulation into registers sized according to its complexity. A new technique optimises quantum simulations of molecular spins, reducing demands on existing quantum computers. The team reshaped computational circuits, prioritising breadth over depth, effectively spreading calculations across more qubits rather than layering them sequentially. This restructuring sharply decreased the overall computational volume required for complex molecules and inherently incorporates mechanisms to detect errors during processing. These improvements may prove beneficial as quantum computer stability increases with ongoing development in the field. A new method streamlines quantum simulations used to understand molecular spins; these calculations are often hampered by circuits requiring many sequential operations, straining current computer capabilities. The team reshaped these computational pathways, prioritising breadth over depth, akin to broadcasting a single instruction across multiple recipients rather than delivering it individually, effectively distributing calculations amongst more qubits. This restructuring reduces the overall demand on quantum computers and inherently includes error detection mechanisms through what is known as repetition code registers: creating several copies of data, so discrepancies can be identified and corrected. These improvements could become increasingly valuable as quantum hardware matures. Fan-out Parallelisation Sharply Reduces Quantum Circuit Depth For Complex Molecular Simulation A volume-optimal quantum circuit schedule achieved a 2.5-fold reduction in depth when simulating the highest-degree molecule studied, utilising all-to-all connectivity. Previously, such simulations were limited by sequential circuits demanding excessive qubits. The new method, based on “fan-out” parallelisation, allows interactions to occur concurrently rather than sequentially; it trades circuit length for increased qubit usage and enables error detection through
Aug 23, 2026 · via quantumzeitgeist.com
Constructing efficient circuits for syndrome extraction, a key step in utilising quantum low-density parity-check codes for scalable fault-tolerant computing, previously demanded bespoke designs tailored to individual code families. A method has been developed that builds these circuits by exploiting inherent symmetries within qLDPC code structures rather than designing them from scratch. The team devised a new technique for designing circuits within quantum computers that utilise quantum low-density parity-check, or qLDPC, codes; this simplifies a previously intricate process. By recognising repeating patterns inherent in these codes’ structure, designs were created without needing to individually tailor solutions for different code types. This approach demonstrably optimises circuit construction allowing systems with nearly 600 data qubits to be handled, a sharp step towards scalable fault-tolerant computation. Delft University of Technology researchers introduced the new method for designing circuits within quantum computers utilising quantum low-density parity-check, or qLDPC, codes; these are error correction techniques similar to how redundant data on CDs or hard drives recovers information if damaged. Previously constructing efficient syndrome extraction circuits demanded bespoke designs tailored to individual code families, but this team exploits inherent symmetries within qLDPC structures rather than building from scratch. The approach optimises circuit construction enabling handling of systems with nearly 600 data qubits, representing progress towards scalable fault-tolerant computation; the process can be visualised as a ‘Tanner graph’, akin to a circuit diagram specifically designed for managing errors in quantum systems. Symmetry exploitation enables scalable syndrome extraction for large quantum error correction codes Scientists have achieved depth-optimal circuits for Quantum Tanner codes encompassing nearly 600 data qubits, representing a substantial improvement over previous methods. Prior approaches necessitated individual code designs or resulted in longer circuit construction with increased complexity. Efficient error correction systems capable of handling such large qubit numbers proved impractical due to the intricate nature of
Aug 23, 2026 · via quantumzeitgeist.com
IBM develops cooling system for future quantum computers. IBM introduces a modular deep-freezing system that expands the capabilities of quantum computers, aiming for fault-tolerant machines by 2029. Báo Khoa học và Đời sống•23/08/2026 IBM announced that it has deployed the first modular quantum refrigerator that can be interconnected to scale up to meet the cooling needs of hundreds of quantum chips. This system is capable of cooling down to -273.14 degrees Celsius, close to 0 ° K. This move marks a significant step as IBM aims to introduce large-scale fault-tolerant quantum computers by 2029, applying quantum error correction techniques to overcome interference in real time and perform tasks without interruption. Quantum computers promise to perform many large-scale calculations in much less time than even the fastest supercomputers currently available. Quantum bits (qubits) typically require extremely low temperatures, close to absolute zero (-273.15 degrees Celsius). Qubits operate inside ultra-low temperature chambers, but the complex structure of conventional refrigeration systems creates many drawbacks during operation. If all the qubits were placed inside this refrigeration system, the entire system would have to shut down if one of them malfunctioned. You may also like IBM has redesigned its existing deep-freezing system by switching to a modular form factor. IBM's groundbreaking cooling system solves the problem by providing engineers with specialized modules that can hold a limited number of chips. Connecting the modules together leverages the combined power of the individual quantum processors. Each refrigerator module is over 2.4m tall, 2.4m wide, and has a capacity of approximately 0.25m³, directly connected to a quantum processor via superconducting cables. This allows multiple quantum chips to communicate, share information, and work together within a larger computer. This change allows for the integration of denser data display and control wiring, simplifies connections between adjacent cells, and increases the
Aug 23, 2026 · via vietnam.vn
Choosing between high-growth technology plays requires balancing early stage potential against execution risks. Today, we compare Quantum Computing (QUBT +9.58%) and Red Cat (RCAT +0.94%) to see which fits your investment goals. Quantum Computing focuses on integrated photonics and quantum machines, aiming to revolutionize high-performance computing and sensing. Red Cat provides tactical drone solutions for military and public safety missions. Both companies occupy high-growth niches within the broader tech landscape but offer very different pathways for investors seeking exposure to next-generation innovation. The case for Quantum Computing Quantum Computing designs and manufactures integrated photonics and quantum optics products. It serves specialized markets like cybersecurity and aerospace, focusing on the fabrication of thin-film lithium niobate chips. The company relies heavily on government contracts, which accounted for approximately 70% to 80% of revenue as of mid-2026. Customer concentration like this adds a layer of risk to the business. In the fiscal year ended Dec. 31, 2025, revenue reached $682,000. This represented a year-over-year growth rate of 82.8% compared with the prior year. Despite this top-line expansion, the company reported a net loss of $18.7 million, though this was an improvement from the previous reporting period. As of its December 2025 balance sheet, the debt-to-equity ratio was zero, which compares total debt to the value of shareholder equity. This indicates the company is not using debt to finance its operations. The current ratio, which measures a company's ability to pay short-term obligations with short-term assets, was 102.4x. Free cash flow was negative at $37 million. The case for Red Cat Red Cat provides tactical drone and robotic solutions for defense and national security, placing it among defense stocks. Its business is particularly focused on government projects such as the U.S. Army's Short Range Reconnaissance program. The company also maintains partnerships to integrate advanced
Aug 23, 2026 · via fool.com
IonQ, D-Wave Quantum, Quantum Computing, Quantinuum, and Horizon Quantum Computing Pte. are the seven Quantum Computing stocks to watch today, according to MarketBeat's stock screener tool. Quantum computing stocks are shares of publicly traded companies that develop quantum computers, related hard
Aug 23, 2026 · via ground.news
Key Points - Reddit has reached profitability with a 24.1% net margin and strong revenue growth. - Rigetti Computing is a high-risk pioneer in quantum hardware with heavy reliance on government funding. - Should you invest in the proven social platform or the speculative future of computing? Investors today must choose between the established social influence of Reddit(NYSE:RDDT) and the experimental computing potential of Rigetti Computing(NASDAQ:RGTI). Which of these tech-driven businesses represents the better addition to your portfolio? Reddit uses its massive library of human conversation to drive advertising and licensing revenue. Rigetti develops advanced hardware designed to solve problems too complex for standard computers. This comparison explores whether you should favor a profitable community platform or a speculative leap into the next generation of digital infrastructure. The case for Reddit Reddit operates a vast platform of over 45,000 active communities where users share information and opinions. The company primarily makes money through digital advertising, but it also generates revenue by licensing its data to companies like Google parent Alphabet for training artificial intelligence. Customer concentration like this adds a layer of risk to the business, as its top ten largest advertisers accounted for approximately 21% of revenue in 2025. Reddit experienced a significant financial transformation recently. In its 2025 fiscal year (FY), revenue reached $2.2 billion, representing growth of 69.4% compared to the previous year. The company also turned profitable, reporting net income of $529.7 million, which equals a net margin of 24.1%. The company maintains a very strong liquidity position. As of its December 2025 balance sheet, the debt-to-equity ratio is zero, and the current ratio is 11.6x. A current ratio measures a company's ability to cover short-term debts with short-term assets, with higher numbers suggesting more flexibility. Free cash flow, which is cash from operations minus capital
Aug 22, 2026 · via theglobeandmail.com
Investors today must choose between the established social influence of Reddit (RDDT +1.98%) and the experimental computing potential of Rigetti Computing (RGTI +11.48%). Which of these tech-driven businesses represents the better addition to your portfolio? Reddit uses its massive library of human conversation to drive advertising and licensing revenue. Rigetti develops advanced hardware designed to solve problems too complex for standard computers. This comparison explores whether you should favor a profitable community platform or a speculative leap into the next generation of digital infrastructure. The case for Reddit Reddit operates a vast platform of over 45,000 active communities where users share information and opinions. The company primarily makes money through digital advertising, but it also generates revenue by licensing its data to companies like Google parent Alphabet for training artificial intelligence. Customer concentration like this adds a layer of risk to the business, as its top ten largest advertisers accounted for approximately 21% of revenue in 2025. Reddit experienced a significant financial transformation recently. In its 2025 fiscal year (FY), revenue reached $2.2 billion, representing growth of 69.4% compared to the previous year. The company also turned profitable, reporting net income of $529.7 million, which equals a net margin of 24.1%. The company maintains a very strong liquidity position. As of its December 2025 balance sheet, the debt-to-equity ratio is zero, and the current ratio is 11.6x. A current ratio measures a company's ability to cover short-term debts with short-term assets, with higher numbers suggesting more flexibility. Free cash flow, which is cash from operations minus capital expenditures, was $684.2 million in FY 2025. Note that stock-based compensation (SBC) represented 49.7% of operating cash flow, which inflates reported cash generation since SBC is a non-cash expense added back in the cash flow statement. The case for Rigetti Computing Rigetti Computing
Aug 22, 2026 · via fool.com
US researchers achieve major breakthrough in quantum data transmission through open air The first of its kind US wireless demo extends an existing 161-mile quantum network and allows secure communications In a breakthrough, researchers at Stony Brook University and Brookhaven National Laboratory transmitted information through the open air across 13 miles-a major milestone toward adding wireless links to New York’s pioneering quantum communication network. The experiment primarily sends quanta of light from Stony Brook’s Quantum Watchtower to Brookhaven’s Quantum Lighthouse in Upton and helps connect future quantum computers beyond the limits of fibre-optic cables. The experiment was initiated by using a laser to generate quantum states of light containing just a few photons. It was observed that the particles left a light-guiding region about 5 micrometers wide, which is less than one-tenth the width of a human hair. The current network footprint is 161 miles and connects eight nodes across multiple institutions on Long Island and in New York City. According to Stony Brook President Andrea Goldsmith, combining the wireless link with a metropolitan fiber network represents a major breakthrough toward a quantum internet of things to secure encrypted communication. Regarding the test, Lab Director, Brookhaven John Hill said it is a major effort to scale quantum networks for communications and sensing. Nonetheless, state officials maintained that quantum networking could support research, health care and sustainable super-computing at Stony Brook and Brookhaven so they can conduct shared scientific investigations on a larger scale.
Aug 22, 2026 · via thenews.com.pk
Via 9to5google.com Google’s Willow quantum chip solves in under 5 minutes what would take supercomputers 10 septillion years CEO Sundar Pichai tempers the excitement, saying practical quantum computers are still 5 to 10 years away from reality Google Quantum AI’s latest processor, Willow, completed a benchmark computation in under five minutes. The same task would take Frontier, one of the world’s fastest classical supercomputers, an estimated 10 septillion years. That’s 10 followed by 25 zeros, a number so large it makes the age of the universe (roughly 14 billion years) look like a rounding error. The 105-qubit superconducting chip represents a genuine breakthrough in quantum error correction, the field’s most stubborn bottleneck. But Google CEO Sundar Pichai offered a reality check in February 2025: practical, useful quantum computers are still 5 to 10 years away. What Willow actually did The benchmark in question is called random circuit sampling, a task specifically designed to test quantum processors against classical machines. Google announced the Willow results on December 9, 2024, alongside a peer-reviewed paper published in Nature. Willow broke that cycle. By increasing the “code distance” from 5 to 7 (a measure of how many physical qubits protect each logical qubit), Google’s team reduced the logical error rate by a factor of approximately 2.14. This is the first time anyone has successfully maintained performance below what’s known as the surface code threshold at both distance 5 and distance 7. Even more notable: Willow’s distance-7 logical memory outlasted the lifetime of its best individual physical qubit by a factor of 2.4. From Sycamore to Willow This isn’t Google’s first quantum milestone. Back in 2019, its 53-qubit Sycamore processor became the first to demonstrate “quantum supremacy,” completing a calculation that would have taken a classical supercomputer thousands of years. Willow makes the Sycamore result
Aug 22, 2026 · via cryptobriefing.com
Google Quantum AI’s latest processor, Willow, completed a benchmark computation in under five minutes. The same task would take Frontier, one of the world’s fastest classical supercomputers, an estimated 10 septillion years. That’s 10 followed by 25 zeros, a number so large it makes the age of the universe (roughly 14 billion years) look like a rounding error. The 105-qubit superconducting chip represents a genuine breakthrough in quantum error correction, the field’s most stubborn bottleneck. But Google CEO Sundar Pichai offered a reality check in February 2025: practical, useful quantum computers are still 5 to 10 years away. What Willow actually did The benchmark in question is called random circuit sampling, a task specifically designed to test quantum processors against classical machines. Google announced the Willow results on December 9, 2024, alongside a peer-reviewed paper published in Nature. Willow broke that cycle. By increasing the “code distance” from 5 to 7 (a measure of how many physical qubits protect each logical qubit), Google’s team reduced the logical error rate by a factor of approximately 2.14. This is the first time anyone has successfully maintained performance below what’s known as the surface code threshold at both distance 5 and distance 7. Even more notable: Willow’s distance-7 logical memory outlasted the lifetime of its best individual physical qubit by a factor of 2.4. From Sycamore to Willow This isn’t Google’s first quantum milestone. Back in 2019, its 53-qubit Sycamore processor became the first to demonstrate “quantum supremacy,” completing a calculation that would have taken a classical supercomputer thousands of years. Willow makes the Sycamore result look quaint by comparison. The gap between quantum and classical performance widened from thousands of years to 10 septillion years, even under what Google describes as conservative assumptions. Hartmut Neven, founder and lead of Google Quantum AI,
Aug 22, 2026 · via kucoin.com
SEALSQ Corp (NASDAQ: LAES) is one of the few public companies built entirely around the threat of quantum computers. It was spun out of the Swiss security group WISeKey. It designs and sells the tamper-resistant chips that store digital keys, and it has rebuilt those chips around cryptography meant to survive a quantum attack. This is its commercial history, from a corporate carve-out into a standalone Nasdaq stock, to the QS7001 Quantum Shield, to a cash-rich push into satellites and quantum hardware. It is a factual company history compiled from regulatory filings, so it is reporting rather than investment advice. 1. A WISeKey spin-off. SEALSQ Corp was carved out of WISeKey International Holding, a Geneva security company. The two still share leadership, a campus and a roadmap, and Carlos Moreira chairs and runs both. 2. Public as NASDAQ: LAES. SEALSQ began trading on the Nasdaq under the ticker LAES on 24 May 2023, and it got there through a partial spin-off rather than a conventional initial public offering. 3. A pure post-quantum play. The company sells secure elements, the chips that hold the keys inside a connected device, and it has rebuilt them around the post-quantum algorithms that ordinary chips will need. 4. The QS7001 is the flagship. SEALSQ launched the QS7001 Quantum Shield in November 2025, a chip built to run the new standardised post-quantum algorithms inside small IoT and embedded devices. 5. Validated entropy, certification pending. SEALSQ says the QS7001 runs the algorithms picked by NIST, the United States standards body. The chip has earned a NIST entropy-source certificate. The company calls that a precondition for the FIPS and Common Criteria approvals it is still working toward. 6. Cash-rich and expanding. SEALSQ raised substantial equity capital while investor demand for quantum stocks was strong, and held 417.7 million
Aug 22, 2026 · via quantumzeitgeist.com
IonQ, D-Wave Quantum, Quantum Computing, Quantinuum, and Horizon Quantum Computing Pte. are the seven Quantum Computing stocks to watch today, according to MarketBeat's stock screener tool. Quantum computing stocks are shares of publicly traded companies that develop quantum computers, related hardware and software, or services that support quantum-computing technologies. For investors, these stocks often represent exposure to a rapidly developing but highly speculative industry, with significant potential growth alongside substantial technological, commercial, and financial risks. These companies had the highest dollar trading volume of any Quantum Computing stocks within the last several days. IonQ (IONQ) IonQ, Inc. engages in the development of general-purpose quantum computing systems in the United States. It sells access to quantum computers of various qubit capacities. The company makes access to its quantum computers through cloud platforms, such as Amazon Web Services (AWS) Amazon Braket, Microsoft's Azure Quantum, and Google's Cloud Marketplace, as well as through its cloud service. Read Our Latest Research Report on IONQ D-Wave Quantum (QBTS) D-Wave Quantum Inc. develops and delivers quantum computing systems, software, and services worldwide. The company offers Advantage, a fifth-generation quantum computer; Ocean, a suite of open-source python tools; and Leap, a cloud-based service that provides real-time access to a live quantum computer, as well as access to Advantage, hybrid solvers, the Ocean software development kit, live code, demos, learning resources, and a vibrant developer community. Read Our Latest Research Report on QBTS Quantum Computing (QUBT) Quantum Computing Inc., an integrated photonics company, offers accessible and affordable quantum machines. The company offers Dirac systems are portable, low power, and room temperature qubit and qudit entropy quantum computers (EQC); reservoir computing; remote sensing; and single photon imaging. It also provides Quantum random number generator (uQRNG), a portable device that provides genuine random numbers directly from quantum processes; and quantum
Aug 22, 2026 · via marketbeat.com
Researchers now estimate that cracking current crypto-security systems may require as few as 500,000 qubits, a reduction by a factor of 20 from previous assessments. This finding significantly shortens the timeline for potential breaches affecting sensitive infrastructure like satellite controls, power grids, and financial institutions. The work by Ryan Babbush of Google Quantum AI and colleagues reveals that approximately 90% of current crypto-schemes rely on solving complicated polynomial equations based on elliptic curve cryptography, rather than factoring large integers. “Quantum technologies have been thought of as ‘over a decade away’ for a long time,” says Stephanie Simmons, a quantum researcher from Simon Fraser University in Canada, who was not involved in the new research. Reduced Qubit Count Accelerates Quantum Hacking Threat The threshold for cracking widely used encryption may be significantly lower than previously thought; new analysis indicates that approximately 500,000 qubits are now estimated to be sufficient to compromise current crypto-security systems, a reduction by a factor of 20 from earlier projections. The team verified the efficacy of their hacking algorithm with a zero-knowledge proof, allowing a cryptographer to independently reconstruct and validate the full algorithm, now publicly available. This method secures software authentication, electronic passports, and financial transactions for cryptocurrencies like Bitcoin and Ethereum, systems previously thought safe from near-term quantum threats. A classical computer would require billions of years to breach these systems, but Babbush’s team demonstrates a potential quantum shortcut, requiring a superconducting quantum computer with around 500,000 qubits and 80 million gates to complete the operation in under ten minutes. This speed is concerning because it could jeopardize cryptocurrency transactions that rely on the short-term public sharing of secret codes. Separate research from Oratomic, a quantum computing company, suggests an alternative path to a quantum hack, estimating that 26,000 physical qubits could achieve the same
Aug 22, 2026 · via quantumzeitgeist.com