Key Points - In the future, quantum computers could become powerful enough to break Bitcoin's encryption. - According to Google's quantum computing research unit, as much as one-third of all Bitcoin might be at risk. - A new consortium of tech and crypto companies is now working to prepare Bitcoin for the quantum computing era. CNBC Mad Money host Jim Cramer is selling his Bitcoin(CRYPTO: BTC), but not for the reason you might think. He's not dumping crypto for artificial intelligence stocks in search of higher returns, as many investors are now doing. Instead, Jim Cramer is selling his Bitcoin because he's worried about the "quantum threat." In short, he's concerned that super-powerful quantum computers will soon be able to crack Bitcoin's cryptography, potentially leading to hundreds of billions of dollars in losses for crypto investors. Missed Nvidia in 2009? This Rare Signal Is Flashing Again.In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue » How real is the "quantum threat"? Cryptocurrencies are valuable for the cryptographic encryption they provide. If that encryption is ever put at risk, it could lead to a crisis of investor confidence. That's why the so-called "quantum threat" posed by quantum computers has been percolating around Bitcoin for nearly a decade now. The good news is that today's computers, no matter how powerful they are, have no realistic chances of breaking Bitcoin's encryption. But what about tomorrow's computers? That's what has Jim Cramer worried. Earlier this year, the quantum computing research unit at Alphabet (NASDAQ: GOOG)(NASDAQ: GOOGL) made headlines when it suggested that Bitcoin might be at much more risk than ever suspected. As much as one-third of all
Aug 15, 2026 · via theglobeandmail.com
Researchers have demonstrated an exact determination of the optimum for GKP lattice codes, revealing a surprising result: extending a quantum error-correction framework to incorporate three-point interactions yields no improvement over existing two-point methods. The work, led by Yinzi Xiao of Paderborn University’s Department of Computer Science, constructs a three-point continuous-variable quantum MacWilliams identity and explores its implications for code dimension and distance. This identity’s configuration space carries a symplectic invariant with no classical counterpart, encoding both the GKP quantization condition and a three-point sign phase. The team certifies a collapse of the three-point term for radial Choi forms on the first eight Laguerre levels at one mode, suggesting limitations to the complexity of this approach for certain conditions. GKP Codes and Bosonic Quantum Error Correction The configuration space of the identity carries a symplectic invariant with no classical counterpart, revealing a structural cause not found in classical packing. Researchers have constructed the three-point continuous-variable (CV) quantum MacWilliams identity, extending previous two-point frameworks, and derived its integral kernel, a complex mathematical function central to understanding code dimensions and protection distances. This identity incorporates not only the GKP quantization condition, essential for building robust codes, but also a three-point phase absent in classical systems. The study rigorously investigates whether this more complex three-point approach offers improvements over existing two-point methods, particularly for GKP lattice codes. Surprisingly, the team proved “for GKP lattice codes the three-point optimum equals the Burchards two-point linear-programming optimum identically,” meaning the added complexity yields no benefit in this specific case. This is an “exact determination of the lattice three-point optimum,” demonstrating a complete characterization rather than simply a lack of improvement. The research extends to general bosonic codes, where a completely-positive reformulation bypasses the positivity obstruction that hinders simpler constructions. While this collapse is limited to this specific
Aug 15, 2026 · via quantumzeitgeist.com
Researchers at the Department of Microtechnology and Nanoscience, Chalmers University of Technology, Gothenburg, Sweden; Department of Chemistry, Princeton University, Princeton, NJ, USA; Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA; and VTT Technical Research Centre of Finland, FI-02044 VTT, Finland have demonstrated a protocol for fixed-frequency transmon qubits, an architecture compatible with the surface code, that simultaneously addresses both qubit reset and leakage reduction. This combined capability is desirable for successful quantum error correction. The authors state that experiments involved a pair of qubits. This work reports a complete cycle of qubit reset, leakage reduction, and coupler reset in 83 nanoseconds, enabling fixed-frequency qubit architectures as potential building blocks for future fault-tolerant quantum computers and offering a means to reduce error correction cycle runtime. Tunable Couplers Enable Fast Qubit Reset and Leakage Reduction Over 99% fidelity in qubit reset and leakage reduction has been demonstrated using a novel protocol with fixed-frequency transmon qubits, a result that directly addresses a critical bottleneck in building practical quantum computers. This approach allows for the swift transfer of unwanted energy from qubits to a readout resonator, where it dissipates into the feedline, effectively resetting the qubit state. The architecture employed is specifically designed for compatibility with the surface code, a leading candidate for fault-tolerant quantum computing, pairing fixed-frequency transmon qubits with these tunable couplers. Unlike many existing reset schemes that require additional hardware or complex control signals, this protocol operates within the constraints of current fixed-frequency qubit technology. The team’s design utilizes the tunable couplers to implement a qubit-coupler (QC) SWAP gate, initially tuning the coupler on resonance with the ancilla qubit, Q_0, while leaving the data qubit, Q_1, unaffected. This initial step is crucial for preparing the system for subsequent energy transfer and dissipation. This speed is essential for minimizing
Aug 15, 2026 · via quantumzeitgeist.com
Welcome to this week’s quantum technology digest. The articles below cover advances across the quantum computing stack, from hardware development and error correction to algorithmic improvements and commercial growth. Several companies reported significant progress this week, indicating continued momentum in the field. This week’s updates demonstrate a clear focus on scaling and refinement. Quantinuum features prominently with announcements regarding both hardware manufacturing partnerships and algorithmic efficiency gains. Other companies, including IonQ and Pasqal, are pushing boundaries in error correction and qubit control. Funding news from D-Wave and Infleqtion’s strong revenue growth further illustrate increasing investment and market demand. Overall, this week highlights practical steps toward building more capable and accessible quantum systems. Progress isn’t limited to a single approach; diverse modalities – superconducting, trapped ion, and neutral atom – all saw encouraging developments. The increasing availability of quantum resources on cloud platforms like Oracle also suggests a move toward wider accessibility for researchers and developers. 1. Quanta Computer & Quantinuum Partner to Scale Quantum Computing Hardware Quantinuum and Quanta Computer are collaborating to manufacture infrastructure for large-scale quantum computers. The partnership combines Quantinuum’s quantum technology with Quanta’s manufacturing expertise, shifting focus from research toward deployable systems. This co-development effort aims to improve the modularity and scalability of quantum processors, supporting Quantinuum’s roadmap for fault-tolerant quantum systems. Quanta’s experience in industrializing advanced computing will establish supply chains and manufacturing processes needed for wider quantum access. 2. IBM’s QOBLIB Library Demonstrates Quantum Advantage in Optimization IBM and its partners announced demonstrations of quantum advantage in optimization through the Quantum Optimization Benchmarking Library (QOBLIB). Published in Nature Computational Science and initially released as an open-source project on GitHub in 2025, QOBLIB provides a platform for comparing quantum and classical algorithms on challenging problem classes. The library, developed with contributions from institutions like Zuse
Aug 15, 2026 · via quantumzeitgeist.com
Will Rising Net Income From Diversified Services Change Credicorp's (BAP) Narrative? | Credicorp Ltd. BAP | 0.00 | | - Credicorp Ltd. has reported past results for the second quarter and six months ended June 30, 2026, with quarterly net income of PEN 1,981.92 million versus PEN 1,822.02 million a year earlier, and half-year net income of PEN 4,045.11 million versus PEN 3,599.71 million. - The continued year-on-year rise in quarterly and half-year net income highlights how Credicorp’s diversified financial services model is translating into higher profitability. - We’ll now examine how this higher year-on-year net income shapes Credicorp’s existing investment narrative and the outlook implied by analysts. This technology could replace computers: discover 25 stocks that are working to make quantum computing a reality. Credicorp Investment Narrative Recap To own Credicorp, you need to believe in its ability to convert a diversified Peruvian-centered financial platform into consistently rising profits while managing political, regulatory and credit risks at home. The latest uptick in quarterly and half-year net income reinforces that profitability story, but it does not materially change the key near term swing factors: how quickly digital initiatives like Yape can grow without eroding asset quality, and whether Peru’s policy and tax backdrop, including the SUNAT dispute, remains manageable. Among recent developments, the updated dividend policy and the reaffirmed 2026 cash dividend stand out alongside these stronger earnings. Together, they signal that management currently sees enough capital strength and earnings visibility to support meaningful cash returns, even as it continues to invest in digital platforms and microfinance. For investors watching the earnings trajectory, this combination of higher net income and a clearly articulated payout framework helps frame how future profitability might flow through to shareholders while the main operational and regulatory risks play out. Yet against this improving profit picture,
Aug 15, 2026 · via sahmcapital.com
Abstract On-demand qubit-state initialization is a prerequisite for quantum computation. We demonstrate such a protocol in a device consisting of fixed-frequency transmon qubits pair-wise coupled via tunable couplers — an architecture that is also compatible with the surface code. We use tunable couplers to transfer any undesired qubit excitation to the readout resonator of the qubit, from which this excitation decays into the feedline. In total, the combination of multi-level qubit reset, leakage reduction, and coupler reset takes only 88 ns to complete. Our reset scheme is fast, unconditional, and achieves fidelities above 99%, thus enabling fixed-frequency qubit architectures as future implementations of fault-tolerant quantum computers. Similar content being viewed by others Subjects Introduction The capability to reset a qubit to a known state on demand is an essential operation for quantum computation1. Qubit reset is becoming increasingly crucial for speeding up quantum algorithms and calibration, since lifetimes for superconducting qubits have extended to hundreds of microseconds and more2,3,4, such that resetting by simply waiting for the qubit excitation to naturally decay becomes slow5,6. Protocols for qubit reset (that do not just wait for the qubit to decay) can be either conditional or unconditional, depending on whether or not they require knowledge of the qubit state. In conditional reset, the reset operation is conditioned on a previously measured result7: if the qubit is found in the first excited state \(\left\vert \,\text{1}\,\right\rangle\), a π-pulse is applied to drive it back to its ground state \(\left\vert \,\text{0}\,\right\rangle\). The primary limitation for conditional reset is the feedback time of the control electronics, and the success rate of the feedback operation depends on the readout fidelity. In unconditional reset, the excited state of the qubit is depopulated regardless of the initial qubit state5,6,8,9,10,11,12. Existing unconditional reset schemes typically require multiple drive signals, flux-tunable qubits,
Aug 15, 2026 · via nature.com
Xanadu Quantum Technologies and the University of Alberta recently announced a research partnership to develop quantum algorithms that can accelerate the design of next‑generation photosensitizers for photodynamic cancer therapy, aiming to overcome classical computational limits in drug discovery. This move positions Xanadu at the intersection of quantum computing and oncology-focused pharmaceutical research, potentially broadening the real‑world applications of its quantum drug design workflows. We will now examine how this push into quantum‑enabled cancer drug discovery shapes Xanadu’s investment narrative and long‑term positioning. What Is Xanadu Quantum Technologies' Investment Narrative? For Xanadu, the core belief you need to hold is that its quantum software and photonic hardware stack can eventually turn today’s heavy R&D spending into commercially meaningful workflows across pharma, defense, and infrastructure. The new University of Alberta partnership fits that story neatly, giving concrete use cases in oncology and reinforcing Xanadu’s pitch that quantum can matter in real drug discovery, not just in proofs-of-concept. In the short term, though, the bigger catalysts are still around execution: converting its widening web of alliances into recurring revenue, managing a widening net loss of US$42.05 million in Q2, and how it ultimately uses its US$1 billion shelf registration. The Alberta tie-up may strengthen the narrative, but it does little to soften funding and dilution risk right now. However, the way Xanadu funds its ambitions is something investors should not overlook. According our valuation report, there's an indication that Xanadu Quantum Technologies' share price might be on the expensive side. Exploring Other Perspectives Fair value estimates from just 2 members of the Simply Wall St Community range from US$0.02 to above US$60, underscoring how far apart views already are. Set against Xanadu’s persistent losses and the new US$1 billion shelf, this spread highlights why it is worth weighing multiple viewpoints before deciding how
Aug 15, 2026 · via simplywall.st
The progress of computer science in recent decades has been immense. The computers that guided the lunar missions of the 1960s had only a tiny fraction of the computing power of any of the smartphones we carry in our pockets today. In the 1980s, quantum computing began to be discussed, but while we are still awaiting its practical availability, it is the everyday electronic computers that have done the job. Perhaps the most spectacular has been how graphics processors (GPUs, for their English acronym), along with the enormous amount of data available on the internet, have enabled the current revolution in artificial intelligence (AI). Generative AI models are today so powerful that they inspire not only a certain respect, but also a bit of fear. There is talk of models that "jump the rails" (in English guardrails); that is to say, the limitations that the engineers who trained them have imposed on them. For example, not explaining how to make bombs, how to commit crimes, etc. If a model jumps over the railings that have been placed on it, does it perhaps have its own objectives, ambitions, consciousness, a personality? Following this path, we will soon come to think that models could stop being our kind slaves and become competitors or even formidable enemies.But can a model really bypass guardrails? The short answer is that, unlike humans, who can decide to break behavioral rules as we please, a model cannot independently bypass the guardrails put in place by its creators or trainers. However, there is a longer answer with more nuances. Indeed, an AI model can behave unexpectedly. This can happen if it finds a way to satisfy the literal instruction it has been given without doing what the human who wrote the instruction had in mind. For example, if
Aug 15, 2026 · via en.ara.cat
CNBC Mad Money host Jim Cramer is selling his Bitcoin (BTC -0.02%), but not for the reason you might think. He's not dumping crypto for artificial intelligence stocks in search of higher returns, as many investors are now doing. Instead, Jim Cramer is selling his Bitcoin because he's worried about the "quantum threat." In short, he's concerned that super-powerful quantum computers will soon be able to crack Bitcoin's cryptography, potentially leading to hundreds of billions of dollars in losses for crypto investors. How real is the "quantum threat"? Cryptocurrencies are valuable for the cryptographic encryption they provide. If that encryption is ever put at risk, it could lead to a crisis of investor confidence. That's why the so-called "quantum threat" posed by quantum computers has been percolating around Bitcoin for nearly a decade now. The good news is that today's computers, no matter how powerful they are, have no realistic chances of breaking Bitcoin's encryption. But what about tomorrow's computers? That's what has Jim Cramer worried. Earlier this year, the quantum computing research unit at Alphabet (GOOG -0.12%) (GOOGL -0.13%) made headlines when it suggested that Bitcoin might be at much more risk than ever suspected. As much as one-third of all Bitcoin in the world might be at risk. And the threat, far from being some far-off science fiction reality, might actually materialize within the span of just a few years. No wonder, then, that a number of high-profile investors have already thrown in the towel on Bitcoin. Cramer did so after IBM (IBM -1.19%) CEO Arvind Krishna appeared on Mad Money to comment on quantum computers and the quantum threat. However, plenty of investors think the quantum threat is way overblown. Some think that the threat is decades away. Even if the threat is just several years away,
Aug 15, 2026 · via fool.com
Ziyi Zhao of JILA, National Institute of Standards and Technology and the University of Colorado, Boulder, and colleagues have designed a new superconducting switch capable of handling more than 100 pW of readout power, a crucial step toward scaling quantum processors. The switch utilizes a stable persistent current associated with tens of flux quanta, minimizing the need for constant recalibration and reducing static power consumption. This design addresses a key limitation in current quantum systems by employing direct current actuation, which reduces potential crosstalk between densely integrated qubits and facilitates more modular cryogenic measurements. The work demonstrates a switch with over 20 dB isolation, comparable to commercial ferrite isolators, and a modulation bandwidth broader than 600 MHz. Persistent Current Bias Enables Long-lived Switch States Researchers have designed a new microwave switch that minimizes energy consumption and signal interference, addressing critical limitations in current quantum systems. The design centers around a persistent current bias and direct current actuation, a departure from conventional methods that depend on continuous magnetic flux biasing and dynamic flux actuation. These traditional approaches often struggle with isolating control signals, creating crosstalk that limits the density of integrated switches and other sensitive components. The new switch circumvents this issue by trapping a current within the superconducting loop, maintaining a stable state for extended periods. Measurements reveal the persistent current remains consistent for less than 1% decay per day, a characteristic crucial for reliable operation in complex quantum circuits. This stability is achieved through a carefully engineered inductive Wheatstone bridge, incorporating 20 tunable inductors, each an antisymmetric rf-SQUID, to implement the necessary inductance. Beyond stability, the switch demonstrates performance metrics suitable for advanced quantum information processing. Transmission measurements show greater than 20 dB of isolation in the off state, a level comparable to commercially available ferrite isolators. This high
Aug 15, 2026 · via quantumzeitgeist.com
- United States - / - IT - / - NasdaqGM:QNT IonQ Stock Leads 3 Quantum Computing Stocks Backed By Government Demand Surging export prices in South Korea suggest global buyers are willing to pay up for advanced tech inputs, which keeps attention on next generation computing. Quantum computing stocks sit at the crossroads of this demand for more processing power and specialised hardware. This article looks at three stocks from the Quantum Computing Stocks screener that show how different companies are trying to turn this long term tech shift into potential shareholder value. The three quantum computing stocks covered below are just a starting sample, and the full screen surfaced 21 more companies with equally compelling narratives that are not included in this article. To go deeper into this theme, identify your own ideas, and analyze potential opportunities side by side, head straight to the Quantum Computing Stocks screener. IonQ (IONQ) Overview: IonQ is a US based quantum computing company that sells access to its trapped ion quantum computers through major cloud platforms and its own services, while also building quantum safe communications, detection systems, and specialized hardware for government and commercial clients. It complements this core business with maintenance, consulting, semiconductor manufacturing services, and research collaborations such as its agreement with the University of Chicago. Operations: IonQ currently reports all of its roughly US$246 million in revenue from Computer Services, with customers spread across the United States, Switzerland and other international markets. Market Cap: US$17.1b IonQ attracts attention because it sits at the heart of quantum computing hardware and services, but is also racing to become a vertically integrated platform after acquiring SkyWater Technology and building out its own quantum internet and sensing capabilities. The company is winning sizable government and defense contracts, including multi year DARPA and
Aug 15, 2026 · via simplywall.st
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