Key Points - CrowdStrike maintains a dominant position in the cloud security market with its Falcon platform and over 88,000 customers. - IonQ is a high-growth pioneer in quantum computing that is rapidly scaling its revenue through major cloud partnerships and hardware acquisitions. - Which of these two specialized technology companies is the better fit for your growth portfolio in 2026? Is the future of technology found in securing the cloud or in the processing power of quantum computing? CrowdStrike(NASDAQ:CRWD) and IonQ(NYSE:IONQ) represent two distinct paths for growth-oriented investors. CrowdStrike dominates the cloud security landscape with its artificial intelligence-driven platform, while IonQ is a pioneer in the developing world of quantum hardware. They are frequently compared because both rely on advanced computing to maintain a competitive edge in their respective industries. Choosing between them requires balancing a market leader against a high-potential start-up. The case for CrowdStrike CrowdStrike provides cloud-native cybersecurity through its Falcon platform to more than 88,000 organizations. Its business model centers on endpoint protection and identity security for enterprise and government clients. As a prominent name among tech stocks, the company aims to replace traditional security software with its comprehensive cloud-based platform. In the fiscal year ended Jan. 31, 2026, revenue reached nearly $4.8 billion. This represents a 21.7% increase compared with the prior fiscal year. Despite this growth, the company reported a net loss of approximately $162.5 million, reflecting a net margin of negative 3.4%. As of its January 2026 balance sheet, the debt-to-equity ratio was 0.2x, representing the amount of debt used relative to shareholder equity. The current ratio was roughly 1.8x, showing the company's ability to cover short-term liabilities. Free cash flow reached $1.3 billion, though stock-based compensation represented 68% of operating cash flow, which inflates reported cash generation as a non-cash expense. The
Aug 14, 2026 · via theglobeandmail.com
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Aug 14, 2026 · via post-gazette.com
Lam Research and ASE expansions; data center shifts; CPO system architecture initiative; 2D-transistor interface solution; USENIX HW security; patent suits; image sensors; programmable AI memtransistor; Nvidia’s new plan; earnings; Tier IV’s L4 auto chip. UC Berkeley experts argue that AI progress does not require ever-larger data centers. Smaller open-source models are becoming capable enough for many tasks while using far less compute, energy, and water — and increasingly they could run on local HW. Data-center network fabrics are undergoing another architectural shift as optical interconnects assume a larger role in AI-cluster connectivity. The push toward 1-megawatt racks is forcing fundamental changes in data center architecture, including cooling, power delivery, rack design, and 3D-IC packaging. CSISrecommends tying data center incentives to measurable community benefits, prioritizing brownfields and existing industrial or federal sites, and locating new compute capacity near universities, national labs and advanced-manufacturing hubs. CPO is taking off as AI data centers leverage every possible option for improving performance and reducing power, but keeping pace with demand is a challenge as CPO shifts from lab instrumentation to production ATEs on a factory floor. Capacity ASE’s subsidiary SPIL broke ground on a nearly US$3.1B advanced packaging and test plant in Douliu, Taiwan. The 6-hectare facility is expected to add CoWoS capacity for AI chips, with first-phase production targeted for 2028 and more than 2,200 jobs planned at full buildout. Lam Research will spend $3B over 5 years to expand its R&D lab network, increasing its experiment capacity by more than 50%. China is rapidly gaining ground across the semiconductor supply chain, with legacy-chip capacity projected to approach half of global output by 2030 and domestic equipment makers expanding even as access to leading-edge AI chips remains constrained, predicts Rhodium Group. Notable deals Lam Research and NY Creates are partnering to train about
Aug 14, 2026 · via semiengineering.com
Allstate plans to expand its quantum team that currently includes 10 people. The team is exploring the use of quantum computing for tasks such as determining prices that better reflect the underlying level of risk for policies, according to the report. Wilson said in the report that he doesn’t know when quantum computing will begin to deliver on its promise, but that he is certain it will do so. “It will work,” Wilson said, per the report. “Will it be as effective as everybody wants? I don’t know. But if it’s going to be available, then I need to start thinking about it coming even before I know exactly when it’s going to get there.” IBM CEO Arvind Krishna said in a CNBC interview posted in late July that quantum computing will soon be a source of growth for IBM. “I think that in 2028 or 2029, you’ll see it have a measurable impact on our top line and bottom line,” Krishna said. “By the end of the 2030s, we are now pretty convinced this is a trillion dollars of value.” Krishna’s comments came on the same day IBM and startup Algorithmiq announced new research that they said “demonstrates that quantum computers can provide trusted solutions more efficiently, more cheaply or more accurately than leading classical compute methods, which has long been considered a key milestone in the field.” The U.S. Department of Commerce announced in May that it planned to provide $2.013 billion in federal incentives to nine companies to support and accelerate their development of quantum computing. “With today’s CHIPS Research and Development investments in quantum computing, the [President Donald] Trump administration is leading the world into a new era of American innovation,” Commerce Secretary Howard Lutnick said at the time in a press release. “These strategic quantum
Aug 14, 2026 · via pymnts.com
Lead author Georgy Makhatadze led an international research team from the University of British Columbia. Co-authors from institutions in Paris, Brussels, and Vienna joined the study. The group conducted high-precision isotopic measurements to pinpoint the impactor’s chemical classification. Chemical fingerprinting through isotopic analysis The Chicxulub impactor struck present day Yucatán Peninsula in Mexico at 40,000 miles per hour (64,000 kilometers per hour). The collision carved out a crater over 110 miles across. It triggered the extinction of roughly 75% of all living species, including all non-avian dinosaurs. The extreme energy of the collision vaporized the 6-to-9-mile-wide asteroid. Consequently, physical fragments of the object no longer exist. To determine the asteroid’s composition, the team extracted samples from the global Cretaceous-Paleogene (K-Pg) boundary layer. These included high-purity clay deposits from Stevns Klint, Denmark. Researchers measured stable nickel isotope ratios within the iridium-rich sediment. Different meteorite groups preserve distinct isotopic signatures established during early solar system formation. Consequently, these measurements allowed the team to match the impact debris to CO carbonaceous chondrites. Carbonaceous chondrites make up approximately 5% of all meteorites recovered on Earth. Also, the CO (Ornans-type) subtype represents a small fraction of that already rare group. Reevaluating the atmospheric extinction mechanism CO chondrites rank among the most primitive known materials in the solar system, preserving primordial chemical ratios. However, compared to other carbonaceous meteorites, they contain lower concentrations of volatile elements; carbon, zinc, water, and sulfur all fall well below typical levels. This low sulfur concentration modifies current models regarding the primary drivers of post-impact climate change: - Volatile contribution: previous theories assumed sulfur vaporized directly from the asteroid drove global cooling. - Refined climate drivers: the low sulfur mass fraction shows the asteroid contributed less sulfur than previously calculated. - Silicate dust and target rock: the findings shift scientific focus
Aug 14, 2026 · via futura-sciences.com
IonQ, D-Wave Quantum, Quantinuum, Quantum Computing, and Horizon Quantum Computing Pte. are the five 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, quantum software, related hardware, or supporting technologies. For stock market investors, these stocks represent exposure to the potential growth of quantum computing, but they may also carry significant risk because the industry is still emerging, highly speculative, and subject to technological and commercial uncertainty. 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 Quantinuum (QNT) Quantum computing is quickly evolving from research to early commercial adoption to address the insatiable need for computing power in the digital age. Even as classical computing continues to advance in energy-efficient performance, the huge computational demands of new applications such as artificial intelligence (“AI”) are making it challenging for classical computing to keep pace.
Aug 14, 2026 · via marketbeat.com
Quantum: Fiscal 1Q27 Financial Results Generating $80.8 million, up 3.5% QoQ and up 25.6% YoY This is a Press Release edited by StorageNewsletter.com on August 14, 2026 at 2:01 pm Quantum Corp., announced financial results for its fiscal first quarter of 2027 ended June 30, 2026.Fiscal First Quarter 2027 Financial Summary - Revenue was $80.8 million, exceeding the guidance range of $75.0 million, plus or minus $2.0 million - GAAP operating expenses were $26.7 million; non-GAAP adjusted operating expenses were $25.1 million, reflecting a YoY reduction of approximately $4.9 million - GAAP net loss was $155.3 million, or ($7.06) per share primarily due to one-time charges related to successful efforts to restructure its balance sheet and eliminate all debt - Non-GAAP adjusted net income was $4.0 million, or $0.18 per share - Non-GAAP adjusted EBITDA was $8.0 million “Quantum delivered another strong quarter with revenue of approximately $81 million, above the high-end of our guidance, along with better-than-expected gross margin and EBITDA results. In addition, we delivered our first non-GAAP profitable quarter since 2023,” commented Hugues Meyrath, CEO, Quantum. “Our backlog also increased to record levels, reflecting continued robust demand for our tiered storage solutions as organizations confront explosive data growth, cost pressures and increasing power constraints. With our ActiveScale object storage and modern tape architecture, we are helping customers optimize existing environments with the right data in the right place at the right cost – solving real business problems that are critical in the AI era. Although supply constraints continue to limit our ability to fully meet demand, our growing revenue and backlog is clear evidence of order strength. We have secured several multimillion-dollar deals in both APAC and the Americas, underscoring renewed momentum for our solutions globally. With the company’s debt eliminated and a strong cash position, we
Aug 14, 2026 · via storagenewsletter.com
Signals ride on waves of one kind or another: light, sound, radio. But new carriers are needed to relay information in next-generation devices. Disturbances or waves in magnetic materials called magnons could be an efficient option - if scientists can tame them. A team led by researchers from the U.S. Department of Energy’s (DOE) Argonne National Laboratory and the University of Illinois Urbana-Champaign (U. of I.) has developed a method to generate spontaneous magnons in a material called yttrium iron garnet (YIG) that can be tuned to an external signal. The results, reported in Nature Communications, establish a pathway toward controllable magnons that are relevant for next-generation microelectronics, wireless communication and quantum information processing. Researchers know how to generate magnons in magnetic thin films. Less is known about how to make those oscillations both spontaneous, or self-sustaining, and steadily rhythmic in response to an external cue. Achieving stable magnons means a new way for delivering and processing information in ways that other types of waves cannot. “Parametric pumping usually creates chaotic wave motions, and it is hard to use the chaos for applications. With our method, we can create ultrasharp waves that are highly controllable.” - Yi Li, Argonne assistant scientist To achieve this goal, the magnons are generated using a technique called parametric pumping. Think about parametric pumping as a person on a swing: By timing their motion with the swing’s natural rhythm, they can add energy without an external push. A similar principle is used to drive magnons. The pumping method begins with a pair of microwave antennas on a YIG thin film a couple hundred nanometers thick, a tiny fraction of the width of a human hair. The small antenna dimensions enable scientists to control the generation of spontaneous oscillations with extreme precision. The magnons are then
Aug 14, 2026 · via azoquantum.com
WASHINGTON – U.S. Senators Chris Coons (D-Del.) and Mike Rounds (R-S.D.) introduced the Quantum Grid Utility Assurance and Resilient Defense Act of 2026 (Quantum-GUARD Act) to strengthen electric grid resilience by proactively addressing cybersecurity threats posed by quantum computing. Quantum computing technology is rapidly progressing, and powerful quantum computers may soon be able to break widely used encryption standards that protect the cybersecurity of critical systems and sensitive data. In 2024, the National Institute of Standards and Technology (NIST) finalized post-quantum cryptography (PQC) standards that are more resistant to quantum-enabled decryption. Critical infrastructure sectors face unique challenges in adopting these new standards. The Quantum-GUARD Act seeks to address those challenges. It directs federal agencies to evaluate quantum-related cybersecurity vulnerabilities, assist electric utilities in transitioning to PQC, and improve coordination between grid operators, cybersecurity experts, and government partners. “Quantum computing has the potential to create new economic opportunities, but it also presents tremendous cybersecurity risks. We need to make sure essential infrastructure like our electrical grid is secured against this coming wave of quantum cyber threats,”said Senator Coons. “As the technology races forward and our adversaries continue to seek vulnerabilities in our critical systems, we need to pass the Quantum-GUARD Act to ensure our government is using every available tool to meet this threat.” “As advances in quantum computing increase cybersecurity threats to the United States, we must continue to strengthen protections for our nation’s most sensitive data,” said Senator Rounds. “I’m pleased to be co-leading the Quantum-GUARD Act, which will codify parts of President Trump’s executive order regarding advanced cryptographic attacks and support our electrical grid’s transition to post-quantum cryptography.” The Quantum-GUARD Act: - Directs the Federal Energy Regulatory Commission (FERC) to consider cybersecurity risks posed by quantum computers within its authority over grid reliability - Establishes a collaborative testing
Aug 14, 2026 · via coons.senate.gov
Image source: The Motley Fool. DATE Thursday, Aug. 6, 2026 at 5:00 p.m. ET CALL PARTICIPANTS - Chief Executive Officer - Subodh Kulkarni - Chief Financial Officer - Jeffrey Bertelsen TAKEAWAYS - Revenue -- $5.1 million for Rigetti Computing, Inc. (RGTI +1.07%), driven by on-premises Novera QPU sales during the second quarter. - Gross Margin -- 43% for the quarter, reflecting improvements from 31% in the prior year driven by contract mix and pricing. - Non-GAAP Net Loss -- $16 million or $0.05 per diluted share, compared to $13.3 million or $0.04 per share in the second quarter of 2025. - Cash and Investments -- $541.3 million as of June 30, 2026, which management believes provides sufficient runway for technology milestones. - R&D Expense -- $20.7 million for the quarter, focused on engineering headcount, fabrication, and infrastructure for higher qubit count systems. - Department of Commerce Funding -- Up to $100 million over three years, intended to accelerate superconducting quantum computing R&D through the CHIPS Act. - C-DAC Order Value -- $8.4 million for a 108-qubit system in India, with revenue recognition expected in the fourth quarter of 2026. - Cepheus-1-108Q Fidelity -- 99.9% median single-qubit and 99.1% median 2-qubit gate fidelity, maintaining performance levels at the 100-plus qubit scale. - Cepheus-1-108Q Gate Speed -- Approximately 60 nanoseconds, which management stated is 1,000 to 10,000 times faster than alternative modalities. - Coherence Times -- 25 to 30 microseconds, with a strategic goal to double or triple these times through material and design initiatives. - 3-Year Technology Goal -- 1,000 qubits and 99.9% 2-qubit gate fidelity, utilizing a modular chiplet-based architecture. - 9-Qubit Median Fidelity -- 99.8% 2-qubit gate fidelity, representing technical progress on the Novera platform. - 36-Qubit Median Fidelity -- 99.6% 2-qubit gate fidelity, driven by design optimizations in
Aug 14, 2026 · via fool.com
We have received text from S. 5313: Quantum Grid Utility Assurance and Resilient Defense Act of 2026. This bill was received on 2026-08-06, and currently has 1 cosponsor. Here is a short summary of the bill: This bill would direct federal energy regulators and the Department of Energy to address a new cybersecurity issue for the electric grid: the possibility that future quantum computers could break some of today’s encryption and create risks for critical grid systems. What it changes for federal regulators When the Federal Energy Regulatory Commission (FERC) reviews or updates electric reliability standards, it would have to specifically consider: - cybersecurity risks from quantum computers, and - whether post-quantum cryptography, or PQC , should be used in information technology and operational technology systems to reduce those risks. FERC could then take whatever action it determines is appropriate based on that review. What it requires the Department of Energy to do The bill would require the Secretary of Energy, through the Office of Cybersecurity, Energy Security, and Emergency Response, to set up a PQC sandbox within 1 year. This sandbox would be a test and development program focused on using post-quantum cryptography in electric grid systems. The sandbox could include: - briefings and workshops, - software challenges, - hardware modeling, - grid simulations, - red-team exercises, - pilot projects, demonstrations, and proof-of-concept testing. It would bring together stakeholders such as grid operators, vendors, federal agencies, state and local organizations, and distribution utilities. The goal would be to help test and encourage PQC use in both existing systems and systems expected to be deployed within the next 5 years. What study and report would be required The bill would also require the Department of Energy, in consultation with the Electric Reliability Organization and other relevant groups, to study quantum-related
Aug 14, 2026 · via quiverquant.com
Today’s utility work on quantum computing has one key goal: to not be left scrambling to address quantum’s impact on overall electricity demand and its curious load profile, like the electric power sector has been with artificial intelligence. Quantum computing harnesses the principles of quantum mechanics to process information in ways classical computers cannot, said Jeremy Renshaw, the director of open power AI and quantum with the Electric Power Research Institute. It adds new computing capabilities that complement classical computing, he added. Those capabilities could reduce AI data centers’ electricity use, improve cybersecurity and optimize power system dispatch. “In the near future, for the subset of problems where quantum computing holds an advantage, such as large-scale optimization and materials science, it offers polynomial or even exponential speedup,” Renshaw said. “Longer term, quantum computing will be the go-to resource for solving large scale problems.” Quantum computing is now reaching a “commercial tipping point,” according to an April McKinsey market report. Worldwide, over 300 companies have started trying out the complex technology that grew out of quantum physics, and investment in startups reached $12.6 billion in 2025 — six times the 2024 investment. While experts agree quantum computing has potential to unlock advances in energy, they say its load profile is still uncertain, presenting a particular challenge to electric utilities. “This is a toe-in-the-water moment that can show the opportunities and risks of quantum and its potential impacts on affordability and reliability in a gated way.” Brad Gibson COO, Middle Tennessee Electric Duke Energy is among the utilities working to understand quantum computing’s energy use and potential. “Utilities routinely balance thousands of interconnected variables involving generation, transmission, demand, weather, regulatory constraints and customer impacts,” Isuru Wijesundara, lead enterprise architect for energy strategy and advanced computing at Duke, told Utility Dive in an
Aug 14, 2026 · via utilitydive.com
Qubits are the quantum counterpart to the bits used in conventional computers. Bits have a "0" and "1" state that is defined by electric charge. In a type of qubit called a silicon spin qubit, the "0" and "1" states are defined by electron spin. This spin can point either up or down in a magnetic field, analogous to a tiny compass needle. Scientists build silicon spin qubits by trapping a single electron inside a thin layer of silicon. The thin layer of silicon (called a quantum well) is sandwiched between another semiconductor material. In addition to spin, electrons in silicon also have a quantum property called a valley state. The energy difference between these valley states is called valley splitting. Valley splitting competes with the spin states used for computation. If the valley splitting is too small, the electron can leak into unwanted valley states. This leakage causes errors and loss of fidelity. In this study, researchers examined how the quantum well affected valley splitting. The Impact Because silicon spin qubits build on the same technology that underpins today's semiconductor industry, they are one of the most promising platforms for scalable quantum computing. For years, researchers knew that defects and inconsistencies in the materials used in silicon quantum devices reduce valley splitting and cause failure. This valley splitting has long been known to vary from device to device, but its origin remained unclear. This study revealed that disorder on the atomic scale in the quantum well is the main source of variability of valley splitting. By identifying this root cause, the work turns a long-standing challenge into a tractable materials problem. It gives industry and National Laboratories a clear path towards building more reliable, higher-fidelity silicon qubits. Summary This study was enabled by a unique partnership in which Argonne
Aug 14, 2026 · via azoquantum.com
| Students conduct practical research at the Training Centre of Hồ Chí Minh City High-Tech Park. VNA/VNS Photo Thanh Vũ | HÀ NỘI — Quantum technology is shifting worldwide from basic research to applied use across industries. Việt Nam has placed cybersecurity and quantum technology on its list of 10 national strategic tech groups, betting on them to sharpen technological self-reliance and competitiveness in a new era. As the country's science, technology and innovation hub, HCM City is now scrambling to build capacity for the quantum age, with workforce development at the centre of its push to seize future opportunities. Universities to anchor quantum push Prof. Dr. Nguyễn Thị Thanh Mai, Director of the Việt Nam National University–HCM City (VNU–HCM), said the top priority is attracting global talent, especially networks of Vietnamese experts and scientists who trained and worked at major tech centres. On the domestic side, she said, the country must clearly define target groups, levels, orientation and teaching staff, and tie training directly to real demand. The aim is to build a quality, specialised and interdisciplinary quantum workforce within five to 10 years. VNU–HCM, one of Việt Nam's leading university systems, has already laid a foundation for quantum research and training. Grouping quantum technology with AI, semiconductors and cybersecurity in the strategic tech lineup signals that it is not a standalone field but wired directly into future core capabilities. The university is leveraging multidisciplinary strengths in physics, materials science, photonics, mathematics and information technology. It's pouring cash into high-performance computing for quantum computing and has has set up research groups targeting quantum computing and security. Key research directions span quantum simulation, algorithms and software, post-quantum cryptography, quantum materials, and fundamental research in quantum physics, quantum chemistry, photonics and materials, with several concrete outputs already delivered. For training, the
Aug 14, 2026 · via vietnamnews.vn
Rigetti Computing stock has delivered very large gains over the past three years, yet its recent checks still suggest it is priced on the expensive side rather than standing out as a clear bargain. Over the past three years, Rigetti Computing has returned very roughly 8 times an initial investment. This puts recent price action front and center for anyone thinking about valuation now. Growing commercial uptake of its quantum processing units and continued government interest in quantum computing may support high expectations. Reliance on ongoing external funding and execution on complex technology remain key risks if those expectations ease. Rigetti Computing currently scores 0 out of 6 on our broader valuation checks. This means the stock leans expensive rather than screening as cheap on this framework 0/6 valuation score. The issue now is whether Rigetti Computing's recent share price leaves enough valuation cushion for investors if the growth story or funding backdrop becomes less supportive. Is Rigetti Computing Getting Expensive on Book Value? For Rigetti Computing, P/B is the preferred yardstick because the company is still loss making and book value gives a clearer anchor than earnings. Rigetti Computing currently trades on a P/B of about 11.6x, compared with an industry average of about 5.2x and a peer group average near 8.0x. That means the market is paying a much higher price for each dollar of Rigetti's net assets than for the typical semiconductor stock. The gap suggests investors are placing a premium on its quantum computing assets and future potential rather than its present balance sheet strength. Because Rigetti recently highlighted expanding commercial sales and fresh government funding interest, including a letter of intent for up to US$100 million in support, the elevated P/B multiple reflects optimism already embedded in the stock. Anyone considering the shares should recognise
Aug 14, 2026 · via simplywall.st
Quanta Computer and Quantinuum Partner to Build an Industrial Foundation for Large-Scale Quantum Computing - Partnership combines Quantinuum's quantum computing leadership with Quanta Computer's expertise in industrializing advanced computing systems at a global scale - Companies plan to co-develop the infrastructure, systems engineering, and manufacturing capabilities required for future generations of quantum computers - Collaboration aims to support Quantinuum's technology roadmap toward commercially-deployable, large-scale, fault-tolerant quantum systems BROOMFIELD, Colo., and TAIPEI, Aug. 14, 2026 /PRNewswire/ -- Quanta Computer ("Quanta"), a Fortune Global 500 manufacturer of advanced computing and cloud infrastructure, and Quantinuum (Nasdaq: QNT), a leading quantum computing company, today announced a collaborative development agreement to help establish an industrial foundation for the next era of quantum computing. Under the terms of the agreement, the companies plan to jointly develop critical hardware infrastructure supporting future generations of Quantinuum's quantum systems, combining Quantinuum's quantum technology leadership with Quanta's expertise in scaling sophisticated computing platforms. Quanta and Quantinuum aim to create a practical pathway from today's quantum systems to commercially deployable quantum computers capable of supporting broad enterprise and scientific adoption. The collaboration is aiming to accelerate the path toward scalable quantum computing infrastructure. With joint engineering work already underway, the companies are designing the next generation of hardware infrastructure with the objective of making future quantum computers more modular, manufacturable, and scalable. "It is time for quantum computing to transition from breakthroughs in physics achieved in the lab to breakthroughs in system manufacturing that can be deployed and operated at scale," said Dr. Rajeeb Hazra, President and CEO of Quantinuum. "Quanta has earned a global reputation for industrializing some of the most advanced computing technologies in the world. By working together, we can help ensure the manufacturing ecosystem, engineering expertise, and supply chains required for large-scale quantum computing evolve in parallel
Aug 14, 2026 · via prnewswire.com
VANCOUVER, BC, Aug. 13, 2026 /PRNewswire/ -- BTQ Technologies Corp. ("BTQ" or the "Company") (NASDAQ: BTQ) (CBOE CA: BTQ), a global technology company building the trust infrastructure for the quantum era, is pleased to provide the voting results from the 2026 Annual Meeting of shareholders. The Company announces that the nominees listed in the management proxy circular dated June 29, 2026 (the "Circular") for the 2026 annual meeting of shareholders of the Company (the "Meeting") were elected as directors of the Company. Detailed results of the vote for the election of directors held at the Meeting on August 12, 2026 in Vancouver, British Columbia are set out below. Fixing Number of Directors at five (5) The number of directors of the Company was fixed at five (5). The results of the votes cast are set out below: | Votes For | | % For | | Votes Against | | % Against | | 70,511,148 | | 99.52 % | | 341,448 | | 0.48 % | Election of Directors The shareholders approved the election of the persons listed below as directors, based on the following vote. | Name | Votes For | % For | Votes Withheld | % Withheld | | Olivier Roussy Newton | 49,120,272 | 94.92 % | 2,626,252 | 5.08 % | | Chris Tam | 51,485,125 | 99.49 % | 261,399 | 0.51 % | | Philippe Lucet | 49,100,314 | 94.89 % | 2,646,210 | 5.11 % | | Mansour Al Suwaidi | 50,241,123 | 97.09 % | 1,505,401 | 2.91 % | | Lionel de Saint-Exupery | 51,439,834 | 99.41 % | 306,690 | 0.59 % | Appointment of Auditors MNP LLP was appointed as the auditor of the Company for the ensuing year and the board of directors of the Company
Aug 14, 2026 · via prnewswire.com
- Quantum mechanics may miss a deeper deterministic structure behind seemingly random events. - Quantum computers might be able to test that theory. If quantum states are not truly continuous, then these machines may eventually fail to scale as standard quantum mechanics expects. - That case may provide evidence that what we call luck may actually reflect a deeper, hidden structure, rather than pure chance. Since the birth of quantum mechanics—the early 20th century theory that governs the strange behavior of particles at the smallest scales—the notion of randomness has taken on an almost mythical status in physics. However, some scientists theorize that quantum mechanics is incomplete—because it’s missing the underlying truth that events aren’t totally random after all. Over time, that idea has seeped beyond physics itself, shaping a broader intuition: that a deep-seated fundamental structure determines the outcome of even seemingly random events. And if such uncertainty lies at the core of reality, then it would imply that these rules not only influence physical phenomena, but could also influence the random events in your life—good and bad. If reality is truly cause-and-effect, not random, then whatever behind-the-scenes structure shapes the final states of particles and probabilities leaves less room for chance than quantum theory suggests. Timothy Palmer, PhD, a Royal Society research professor in climate physics at the University of Oxford, thinks there’s a way to test whether or not quantum mechanics is a complete framework, using quantum computers. He thinks it might not be, because capturing the full, hidden order of reality means the math used to describe it shouldn’t add possibilities that don’t exist in nature. For example, the observable universe never actually requires infinitely precise numbers, as we derive from numbers like π, the never-ending ratio that defines every circle. But the theory of the
Aug 13, 2026 · via popularmechanics.com
How Technology Leaders Should Think About Quantum Computing Quantum computing has transitioned from theoretical curiosity into a phase of engineering reality. Vendors are showing real progress in solving scaling and error correction challenges. There are realistic roadmaps for shipping quantum computers that could deliver commercial value. But that value will be uneven, emerging in specific high-value problem classes and over different time horizons. Technology leaders need a practical view of where quantum computing is likely to matter and when. Quantum Computers Are Different Computers, Not Faster Computers Quantum computers are not supercomputers with more horsepower, as is often portrayed in news media. Classical computers are grounded in Boolean logic derived from the voltage flowing through semiconductors. Quantum computers are grounded in linear algebra and wave interference patterns from quantum mechanical phenomena. This makes quantum fundamentally different, suited for different kinds of problems. What types of problems? Those involving exponentially growing combinations, quantum-level physical systems, or probabilistic outcomes that classical systems struggle to model efficiently. Think portfolio optimization, molecular simulation, materials discovery, logistics routing, energy grid modeling, and certain forms of stochastic risk analysis. What does this mean? If it can be solved classically, it will continue to be solved classically. It also means quantum computers will be a component inside a broader computational pipeline, tackling compute tasks in the pipeline that classical computers cannot solve, while deferring to classical for the rest. Quantum computing will thus not mature as a standalone platform. Quantum computers will be hybrid, mixing classical compute with quantum as a unified system. Vendors that make quantum accessible through hybrid runtimes and integration with classical compute will be the ultimate market leaders. Quantum Value Will Evolve Into Selective Commercial Relevance In the short term, the market will remain defined by experimentation. Progress will come from better error
Aug 13, 2026 · via forrester.com
Researchers at Universidade Federal de São Carlos (UFSCar) in Brazil have developed a building block for quantum computing utilizing continuous-variable computation. Published August 13, 2026, in Quantum Science and Technology with DOI 10.1088/2058-9565/ae9187, the work details a superconducting device exploring an approach that differs from more common qubit-based systems. This continuous-variable method exploits the infinite-dimensional Hilbert space of bosonic modes, potentially offering a distinct path toward scalable and universal quantum computation. The authors report that the system achieves high fidelities within current parameter ranges. This two-layer system utilizes a DC-SQUID as the foundational bosonic mode, circumventing limitations found in existing superconducting platforms and offering a different approach to scalability. The work demonstrates high fidelities across all gates within achievable experimental parameters, a crucial step toward practical continuous-variable quantum computers. The architecture integrates a fluxonium qubit to mediate nonlinear interactions essential for quantum processing, alongside two ancillary qubits that facilitate both Gaussian and multi-mode operations. By precisely tuning applied fluxes and frequencies, the team achieved control over rotation, displacement, squeezing, Kerr interactions, and beam splitting, the five gates comprising a universal continuous-variable set. This level of control is significant because it allows for the implementation of any quantum algorithm within the continuous-variable framework, which differs from the more common qubit-based approach. The researchers report that the modular design of the system is intended to allow for scaling to more complex circuits. This development addresses a key challenge in superconducting quantum computing; while superconducting qubits have shown promise, realizing universal continuous-variable computation has remained elusive. The team’s simulation indicates that the system operates within current parameter ranges, suggesting a viable path toward physical realization. The study’s data and numerical codes are available upon request, facilitating further investigation and replication of the results. The published work establishes “a feasible pathway toward high-fidelity, universal
Aug 13, 2026 · via quantumzeitgeist.com