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Quantum Computing Stocks To Watch Today - September 26th - MarketBeat
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Quantum Computing Stocks To Watch Today - September 26th - MarketBeat

Quantum Computing Stocks To Watch Today - September 26th Written by MarketBeatSeptember 26, 2026Add As Preferred SourceShareShareShare This ArticleLink copied to clipboard.Close Image from MarketBeat Media, LLC. Key Points Five quantum-computing stocks to watch are IonQ (IONQ), D-Wave Quantum (QBTS), Quantinuum (QNT), Quantum Computing (QUBT), and Horizon Quantum Computing (HQ), selected for their recent trading volume. IonQ and D-Wave provide cloud-based access to quantum systems, while Quantum Computing focuses on photonics-based machines, quantum sensing, random-number generation, and cybersecurity applications. The sector is moving toward early commercial adoption, driven partly by rising AI-related computing demand, but remains high-growth and highly speculative due to technological, financial, and regulatory uncertainties. MarketBeat previews top five stocks to own in October. MarketBeat Week in Review – 09/21 - 09/25IonQ, 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 involved in developing quantum-computing hardware, software, components, or related services. For investors, the term generally refers to a high-growth, highly speculative sector whose companies may face significant technological, financial, and regulatory uncertainties. These companies had the highest dollar trading volume of any Quantum Computing stocks within the last several days. Get IonQ alerts:Sign UpIonQ (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 serv

Sep 26, 2026

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Scientists Just Watched a Single Quantum of Sound Vanish for the First Time
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Scientists Just Watched a Single Quantum of Sound Vanish for the First Time

Quantum sound refers to vibrations so small that they behave according to the rules of quantum mechanics. Instead of fading smoothly, this vibrational energy is exchanged in discrete packets called phonons, revealing the step-by-step nature of sound at the smallest scales (Artist’s concept). Credit: SciTechDaily.comStanford physicists observed a tiny vibrating structure lose a single unit of sound energy in a sudden quantum jump. The finding could help advance quantum computing and precision sensing.A tiny mechanical resonator, a structure that vibrates like a tuning fork, has given Stanford researchers a close look at how sound disappears at the quantum scale. They watched it lose a single phonon, the smallest discrete unit of sound, in the first direct observation of a quantum jump of sound.A phonon represents the coordinated movement of a large group of atoms, just as a photon is a quantum of light. Although a ringing bell seems to fade smoothly, a resonator’s vibrational energy changes in discrete steps. These sudden transitions between energy states are called quantum jumps.Quantum jumps can signal computing errorsThe team, led by Stanford physicist Amir Safavi-Naeini, reported its findings in Science. Detecting these jumps could help researchers address a persistent problem in quantum computing: recognizing when something has gone wrong during a calculation.Quantum computers have the potential to handle some complex calculations beyond the capabilities of conventional computers, but their fragile quantum states can develop errors before the work is finished. In many proposed quantum computing architectures, a quantum jump represents an error. Pinpointing when those jumps occur has been difficult, so tracking them in sound offers a step toward correcting them.This mechanical resonator, depicted in an illustration (left) and in an image taken by a scanning electron microscope (right), allowed researchers to detect quantum jumps of sound. Credit: Erik SzakielTwo

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DOE releases national quantum computing roadmap following field-wide effort led by SCAC subcommittee
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DOE releases national quantum computing roadmap following field-wide effort led by SCAC subcommittee

Editor’s note: The following article was originally published by the U.S. Department of Energy Office of Science. Fermilab played a key leadership role in developing the SCAC Quantum Committee Report. Anna Grassellino, Fermilab chief technology officer and associate laboratory director for the Technology Directorate, chaired the Quantum Subcommittee and Supratik Guha, professor at the University of Chicago’s Pritzker School of Molecular Engineering, served as vice chair. Together with the subcommittee, they led an extensive stakeholder-engagement process that drew perspectives from national laboratories, academia, industry and federal agencies, informed by input from hundreds of contributors across the U.S. quantum ecosystem. The report lays out a science-first, milestone-driven roadmap toward demonstrating scientific utility from quantum computing, while building toward the integration of quantum systems with the DOE labs’ research infrastructure, high-performance computing and artificial intelligence. Fermilab thanks the SCAC Quantum Subcommittee members and the many quantum researchers and stakeholders who contributed their time, ideas and expertise. With this report as a foundation, Fermilab looks forward to working alongside partners across the national quantum ecosystem toward an integrated quantum future and the next era of scientific discovery. Every major shift in technology promises to redefine the boundaries of discovery. Quantum computing is rapidly transitioning from a phase of fundamental laboratory research into a scientifically revolutionary capability. As this technology races forward, we need a clear, defined path to success. That is why I charged the Office of Science Advisory Committee (SCAC) Quantum Subcommittee with an ambitious task: to chart a milestone-driven roadmap toward demonstrating a scientifically relevant, error-corrected quantum computer by 2028, and to articulate a long-term vision for a dedicated Quantum Computing User Facili

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IonQ tests quantum model on real satellite radar dataquantum-computing

IonQ tests quantum model on real satellite radar data

IonQ has demonstrated a quantum generative model capable of improving change detection on complex, high-resolution Synthetic Aperture Radar (SAR) data, imagery vital for applications ranging from disaster response to defense, the company says. Researchers at the company, a public firm listed as IONQ on NYSE, compared the quantum approach with classical methods using real satellite data and IonQ’s Forte Enterprise system. “Satellites are exceptional at collecting imagery of the Earth. The value is in knowing what changed and whether it matters,” said Jordan Shapiro, President, Quantum Platform at IonQ. The team’s work addresses a key limitation in analyzing detailed SAR data, where conventional techniques struggle with complex pixel statistics. Quantum Generative Modeling Improves SAR Change Detection This demonstration focused on a Quantum Circuit Born Machine, or QCBM, a type of quantum generative model designed to estimate expected background conditions within complex radar scenes, improving the reliability of change detection analytics. Conventional change detection relies on comparing estimated scenes with actual images, a process that becomes increasingly difficult with the finer detail present in high-resolution SAR data, often requiring preprocessing that sacrifices spatial resolution. IonQ researchers addressed this limitation by training the QCBM to learn the statistical relationships between before-and-after images, allowing it to generate reference samples that better distinguish genuine changes from natural variation. Testing on challenging non-Gaussian SAR data from Marine Corps Air Station Miramar, the QCBM achieved a filtered F1 score of 0.41, significantly exceeding the 0.24 and 0.16 scores of the two classical baseline methods evaluated. This performance advantage was most pronounced when dealing with data where conventional statistical methods struggled, indicating the quantum model’s potential in scenarios with sparse or complex data distributions

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QuEra Computing finds nearly half of firms want quantum fault-tolerance plansquantum-computing

QuEra Computing finds nearly half of firms want quantum fault-tolerance plans

Nearly half of companies evaluating quantum technology now prioritize a clear path to fault tolerance over simply increasing qubit counts, according to a new survey from QuEra Computing. The findings signal a marked shift in industry focus, as 45% of respondents identified a fault-tolerance roadmap as one of the most important criteria when selecting a quantum computing provider. The survey also reveals neutral atoms are emerging as a leading architecture, selected by 23% of respondents. Fault-Tolerance Roadmaps Drive Quantum Technology Selection Cost-effectiveness ranks as the most important selection criterion for 50% of companies evaluating quantum technology, according to new survey data, despite a growing emphasis on demonstrable progress toward fault tolerance. This prioritization suggests businesses are actively seeking near-term value alongside long-term potential in quantum investments, balancing ambition with practical considerations. The demand for fault tolerance is not merely aspirational; 78% of respondents consider quantum error correction either critical or very important for realizing commercial value in their intended applications, QuEra Computing says. This high percentage underscores a growing recognition that scaling qubit numbers alone will not deliver useful quantum computation, and robust error mitigation is essential. Yuval Boger, Chief Commercial Officer at QuEra Computing, explained that customers are getting more discerning about what they need to see from competing quantum architectures. He further stated that proven and scalable quantum error correction approaches, once considered desirable features, have now become essential requirements. Neutral atoms emerged as a leading architectural choice, selected by 23% of respondents, surpassing both superconducting qubits at 15% and trapped ions at 11%.

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