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                    <title>Phys.org - latest science and technology news stories</title>
            <link>https://phys.org/</link>
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            <description>Phys.org internet news portal provides the latest news on science including: Physics, Nanotechnology, Life Sciences, Space Science, Earth Science, Environment, Health and Medicine.</description>

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                    <title>Quantum-informed AI improves long-term turbulence forecasts while using far less memory</title>
                    <description>An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system over the long term than current best models that use only conventional computers, according to a new study led by UCL (University College London) researchers. The findings, published in the journal Science Advances, could improve models predicting how liquids and gases move and interact (fluid dynamics), used in areas ranging from climate science to transport, medicine and energy generation.</description>
                    <link>https://phys.org/news/2026-04-quantum-ai-term-turbulence-memory.html</link>
                    <category>Soft Matter</category>                    <pubDate>Fri, 17 Apr 2026 14:00:07 EDT</pubDate>
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                    <title>Automated AI system flags qubit drift and instability, speeding quantum calibration</title>
                    <description>NPL, the UK&#039;s National Metrology Institute (NMI), plays a central role in providing accurate and trusted measurement across emerging technology. Within its Institute for Quantum Standards and Technology (IQST), the team is developing methods to characterize and calibrate quantum devices, particularly quantum computing.</description>
                    <link>https://phys.org/news/2026-04-automated-ai-flags-qubit-drift.html</link>
                    <category>General Physics</category>                    <pubDate>Thu, 16 Apr 2026 18:00:03 EDT</pubDate>
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                    <title>Quantum Fourier transform reaches 52 qubits, shattering the previous 27-qubit record</title>
                    <description>The spin-off company ParityQC has implemented the largest quantum Fourier transform ever reported using an IBM quantum computer, thereby setting a new milestone on the path toward the industrial application of quantum computers. The quantum Fourier transform is a cornerstone algorithm with applications in cryptography, financial modeling, and materials science.</description>
                    <link>https://phys.org/news/2026-04-quantum-fourier-qubits-shattering-previous.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Thu, 16 Apr 2026 12:20:08 EDT</pubDate>
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                    <title>Quantum-inspired algorithm solves 268 million-site quasicrystal simulation in a heartbeat</title>
                    <description>Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also trigger quantum behavior by manipulating a material&#039;s structure; for example, by stacking layers of graphene on top of each other and twisting them to create a moiré pattern, which suddenly turns them into a superconductor.</description>
                    <link>https://phys.org/news/2026-04-quantum-algorithm-million-site-quasicrystal.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Wed, 15 Apr 2026 19:50:01 EDT</pubDate>
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                    <title>Quantum simulations reveal spin transport in 1D materials</title>
                    <description>Researchers from the Department of Energy&#039;s Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL) have achieved a significant milestone by demonstrating the first digital quantum simulations of how spin currents change over time in a 1-D model of a quantum spin material. The results, now published in Physical Review Letters, establish a new, programmable way to use quantum computers to study the transport of spin—a fundamental quantum variable—in materials.</description>
                    <link>https://phys.org/news/2026-04-quantum-simulations-reveal-1d-materials.html</link>
                    <category>Condensed Matter</category>                    <pubDate>Wed, 15 Apr 2026 17:20:01 EDT</pubDate>
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                    <title>Multitasking quantum sensors can measure several properties at once</title>
                    <description>A special class of sensors leverages quantum properties to measure tiny signals at levels that would be impossible using classical sensors alone. Such quantum sensors are currently being used to study the inner workings of cells and the outer depths of our universe.</description>
                    <link>https://phys.org/news/2026-04-multitasking-quantum-sensors-properties.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Wed, 15 Apr 2026 08:40:01 EDT</pubDate>
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                    <title>Smart cable sharing gives quantum computers a big boost</title>
                    <description>A major obstacle in the development of powerful quantum computers is the growing number of cables required to control a computer as the number of qubits increases. Researchers at Chalmers University of Technology in Sweden have now demonstrated that several qubits can share the same cable—without significantly increasing computation time. Their study is the most comprehensive of its kind and could become an important piece of the puzzle in developing quantum computers. These computers have the potential to revolutionize such areas as drug development and logistics.</description>
                    <link>https://phys.org/news/2026-04-smart-cable-quantum-big-boost.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Tue, 14 Apr 2026 17:00:03 EDT</pubDate>
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                    <title>A silicon-compatible path toward scalable quantum systems</title>
                    <description>Beginning in the 1950s, silicon transformed the electronics industry by enabling smaller and faster devices that could be reliably manufactured at scale. More than six decades later, silicon-based semiconductors remain at the heart of many modern technologies, including so-called &quot;classical&quot; computers.</description>
                    <link>https://phys.org/news/2026-04-silicon-compatible-path-scalable-quantum.html</link>
                    <category>Condensed Matter</category>                    <pubDate>Tue, 14 Apr 2026 16:30:01 EDT</pubDate>
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                    <title>Quantum simulations tackle photon polarization flip, but today&#039;s hardware falls short</title>
                    <description>For the last 80 years, the theory of quantum electrodynamics (QED), which describes all electromagnetic interactions, has been a cornerstone of the standard model, withstanding the scrutiny of countless experiments and agreeing with observations down to the smallest known precisions. Yet, some high-intensity scales of QED remain unexplored, prompting some to wonder if quantum computers could deal with these scales&#039; inherent complexity.</description>
                    <link>https://phys.org/news/2026-04-quantum-simulations-tackle-photon-polarization.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Tue, 14 Apr 2026 12:20:09 EDT</pubDate>
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                    <title>Physicists discover how to reverse  &#039;quantum scrambling&#039;</title>
                    <description>Quantum computers stand to revolutionize research by helping investigators solve certain problems exponentially faster than with conventional computers. Current quantum computers encounter a challenge where they lose stored information in a process known as quantum scrambling. However, scientists at the University of California, Irvine have discovered a method to enable computers to preserve the data that would otherwise be lost during the scrambling process. The research is published in the journal Physical Review Letters.</description>
                    <link>https://phys.org/news/2026-04-physicists-reverse-quantum-scrambling.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Mon, 13 Apr 2026 17:50:01 EDT</pubDate>
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                    <title>&#039;Poor man&#039;s Majoranas&#039; can be used as quantum spin probes</title>
                    <description>A Majorana fermion is a particle that would be identical to its antiparticle. Such an object has not yet been found. However, certain solid materials exhibit analogous behavior as if Majorana fermions were present through collective excitations of the system called quasiparticles.</description>
                    <link>https://phys.org/news/2026-04-poor-majoranas-quantum-probes.html</link>
                    <category>Condensed Matter</category>                    <pubDate>Sat, 11 Apr 2026 08:00:04 EDT</pubDate>
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                    <title>Robust against noise, geometric-phase swap gates bring stability to quantum operations</title>
                    <description>Researchers at ETH Zurich have realized particularly stable quantum logical operations with qubits made of neutral atoms. Since these operations, called quantum gates, are based on geometric phases, they are extremely robust against experimental noise and can be used in quantum computers in the future.</description>
                    <link>https://phys.org/news/2026-04-robust-noise-geometric-phase-swap.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Wed, 08 Apr 2026 16:20:05 EDT</pubDate>
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                    <title>Optical control of nuclear spins in molecules points to new paths for quantum technologies</title>
                    <description>Researchers at the Karlsruhe Institute of Technology (KIT) have reported important progress in quantum physics and materials science by optically initializing, controlling, and reading out nuclear spin states in a molecular material for the first time. Because of their weak interaction with the environment, nuclear spins are particularly stable quantum information carriers. The research, published in Nature Materials, shows that molecular nuclear spins could be a promising building block for future quantum technologies.</description>
                    <link>https://phys.org/news/2026-04-optical-nuclear-molecules-paths-quantum.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Wed, 08 Apr 2026 13:00:01 EDT</pubDate>
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                    <title>Quantum computing without interruptions</title>
                    <description>Mid-circuit measurements are one of the biggest practical hurdles in quantum error correction on encoded qubits. Researchers in Innsbruck and Aachen have now proposed and experimentally demonstrated that a universal fault-tolerant quantum algorithm can be executed without such measurements. Using a trapped-ion quantum processor, the team successfully ran Grover&#039;s quantum search algorithm on three logical qubits.</description>
                    <link>https://phys.org/news/2026-04-quantum.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Tue, 07 Apr 2026 09:20:05 EDT</pubDate>
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                    <title>Mechanical inputs boost diamond quantum sensor states as Q factor tops one million</title>
                    <description>Most people think of diamonds as high-end adornments. Not Ania Bleszynski Jayich. The UC Santa Barbara physicist sees diamonds, which she grows in the UC Quantum Foundry, as a potentially powerful foundation for quantum sensors. Sensors are currently much farther along in their development than other potential quantum applications. Diamond sensors are particularly promising because diamonds require relatively few quantum bits (qubits) to operate, whereas a quantum computer, for instance, requires more than 100,000, perhaps as many as a million, qubits to handle error correction, one of the main hurdles for quantum computing.</description>
                    <link>https://phys.org/news/2026-04-mechanical-boost-diamond-quantum-sensor.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Mon, 06 Apr 2026 16:30:01 EDT</pubDate>
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                    <title>A tiny detector for microwave photons could advance quantum tech</title>
                    <description>Detecting a single particle of light is hard; detecting a single microwave photon is even harder. Microwave photons, the tiny packets of electromagnetic radiation used in current technologies like Wi-Fi and radar, carry far less energy than visible light. They are about 100,000 times weaker than optical photons.</description>
                    <link>https://phys.org/news/2026-04-tiny-detector-microwave-photons-advance.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Fri, 03 Apr 2026 14:00:05 EDT</pubDate>
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                    <title>The secrets of black holes and the Higgs mass could be hidden in a 7-dimensional geometry</title>
                    <description>One of the greatest mysteries of modern physics, the &quot;black hole information paradox,&quot; might have finally found an elegant solution, and the answer could also reveal the origins of the mass of fundamental particles.</description>
                    <link>https://phys.org/news/2026-04-secrets-black-holes-higgs-mass.html</link>
                    <category>General Physics</category>                    <pubDate>Fri, 03 Apr 2026 08:40:01 EDT</pubDate>
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                    <title>How noise limits today&#039;s quantum circuits</title>
                    <description>Imagine you&#039;re trying to build a very long, complicated chain of dominoes. The aim is that each domino hits the next one perfectly, all the way down the line, producing an amazing result at the end. A quantum circuit is like a domino chain: a long chain of tiny steps (&quot;operations&quot;) that work together to process information together in a powerful way.</description>
                    <link>https://phys.org/news/2026-03-noise-limits-today-quantum-circuits.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Thu, 02 Apr 2026 05:00:05 EDT</pubDate>
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                    <title>Novel approach to quantum error correction portends a scalable future for quantum computing</title>
                    <description>A University of Sydney quantum physicist has developed a new approach to quantum error correction that could significantly reduce the number of physical qubits required to build large-scale, fault-tolerant quantum computers. The study, co-authored by Dr. Dominic Williamson from the School of Physics, is titled &quot;Low-overhead fault-tolerant quantum computation by gauging logical operators&quot; and published in Nature Physics.</description>
                    <link>https://phys.org/news/2026-03-approach-quantum-error-portends-scalable.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Thu, 02 Apr 2026 05:00:03 EDT</pubDate>
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                    <title>World&#039;s largest quantum circuit simulation for quantum chemistry achieved on 1,024 GPUs</title>
                    <description>A joint research team between the Center for Quantum Information and Quantum Biology (QIQB) at The University of Osaka and Fixstars Corporation has demonstrated one of the world&#039;s largest classical simulations of iterative quantum phase estimation (IQPE) circuits for quantum chemistry on up to 1,024 GPUs, surpassing the previous 40-qubit limit. The result expands the scale of molecular systems available for the development and validation of quantum algorithms for future fault-tolerant quantum computers, supporting progress toward industrial applications in drug discovery and materials development.</description>
                    <link>https://phys.org/news/2026-04-world-largest-quantum-circuit-simulation.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Wed, 01 Apr 2026 19:10:01 EDT</pubDate>
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                    <title>Useful quantum computers could be built with as few as 10,000 qubits, team finds</title>
                    <description>Quantum computers of the future may be closer to reality thanks to new research from Caltech and Oratomic, a Caltech-linked start-up company. Theorists and experimentalists teamed up to develop a new approach for reducing the errors that riddle today&#039;s rudimentary quantum computers. Whereas these machines were previously thought to require millions of qubits to work properly (qubits being the quantum equivalent to 1&#039;s and 0&#039;s in classical computers), the new results indicate that a fully realized quantum computer could be built with as few as 10,000 to 20,000 qubits. The need for fewer qubits means that quantum computers could, in theory, be operational by the end of the decade.</description>
                    <link>https://phys.org/news/2026-04-quantum-built-qubits-team.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Wed, 01 Apr 2026 14:20:04 EDT</pubDate>
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                    <title>Stabilized laser components could shrink quantum computers from room- to chip-scale</title>
                    <description>Scientists in the Riccio College of Engineering at the University of Massachusetts Amherst and the University of California Santa Barbara have demonstrated key laser and ion trap components necessary to help drastically shrink the size of quantum computers, an achievement aligned with the shrinking of integrated microprocessors in the 1970s, 80s and 90s that allowed computers to move from room-sized behemoths to today&#039;s ultrathin smartphones.</description>
                    <link>https://phys.org/news/2026-03-stabilized-laser-components-quantum-room.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Mon, 30 Mar 2026 17:00:06 EDT</pubDate>
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                    <title>Silicon quantum computer performs logical operations for the first time</title>
                    <description>Silicon is ubiquitous in modern electronics, and now it is becoming increasingly useful in quantum computing. In particular, silicon&#039;s compatibility with existing chip technology and its long coherence times in silicon-based spin qubits make it a promising material for scalable quantum computing. A new study, published in Nature Nanotechnology, has demonstrated silicon&#039;s use in a logical quantum processor, representing the first of its kind.</description>
                    <link>https://phys.org/news/2026-03-silicon-quantum-logical.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Mon, 30 Mar 2026 12:20:01 EDT</pubDate>
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                    <title>Novel protocol reconstructs quantum states in large-scale experiments up to 96 qubits</title>
                    <description>Quantum computers, systems that process information leveraging quantum mechanical effects, could outperform classical computers on some computationally demanding tasks. Despite their potential, as the size of quantum computers increases, reliably describing and measuring the states driving their functioning becomes increasingly difficult.</description>
                    <link>https://phys.org/news/2026-03-protocol-reconstructs-quantum-states-large.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Sun, 29 Mar 2026 12:30:01 EDT</pubDate>
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                    <title>Quantum computer accurately simulates real magnetic materials, reproducing national laboratory data</title>
                    <description>Studying and designing novel materials is a central application of quantum mechanics. Chemists, materials scientists, and physicists focus on subtle interactions in quantum materials and to uncover them they rely on sophisticated computational and experimental techniques. Computer simulations that connect microscopic quantum interactions to measurable material properties complement experimental data to connect structure to function—but classical computers can struggle to simulate those properties. Fortunately, scientists today have a new tool in their toolbox: quantum computers.</description>
                    <link>https://phys.org/news/2026-03-quantum-accurately-simulates-real-magnetic.html</link>
                    <category>Condensed Matter</category>                    <pubDate>Thu, 26 Mar 2026 17:20:02 EDT</pubDate>
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                    <title>Unlocking scalable entanglement will enable next-generation quantum computing</title>
                    <description>Quantum computing promises to transform our world in rapid, radical and revolutionary ways: solving in seconds problems that would take classical computers years, accelerating the discovery of new medicines, creating sustainable materials, optimizing complex systems, and strengthening cybersecurity. It does so using qubits, the quantum counterparts of classical bits, which can occupy multiple states simultaneously and enable a fundamentally new kind of computation.</description>
                    <link>https://phys.org/news/2026-03-scalable-entanglement-enable-generation-quantum.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Thu, 26 Mar 2026 17:10:01 EDT</pubDate>
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                    <title>Dual-rail superconducting qubits generate high-fidelity logical entanglement, study finds</title>
                    <description>Quantum computers, systems that process information leveraging quantum mechanical effects, could outperform classical computers on some advanced tasks. These systems rely on qubits, the fundamental units of quantum information, that become linked via an effect known as quantum entanglement and share a unified quantum state.</description>
                    <link>https://phys.org/news/2026-03-dual-rail-superconducting-qubits-generate.html</link>
                    <category>Superconductivity</category>                    <pubDate>Thu, 26 Mar 2026 08:10:01 EDT</pubDate>
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                    <title>Dancing to invisible choreography, quantum computers can balance the noise</title>
                    <description>Large-scale quantum computers are waiting in the wings. One of the main reasons we don&#039;t have them yet is because quantum hardware is so noisy. This isn&#039;t the type of noise you&#039;d want to shush in a crowded theater. When it comes to computers, noise means errors that crop up when conditions aren&#039;t perfect.</description>
                    <link>https://phys.org/news/2026-03-invisible-choreography-quantum-noise.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Wed, 25 Mar 2026 12:20:03 EDT</pubDate>
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                    <title>Quantum computers could have a fundamental limit after all</title>
                    <description>The performance of quantum computers could cap out after around 1,000 qubits, according to a new analysis published in the Proceedings of the National Academy of Sciences. Through new calculations, Tim Palmer at the University of Oxford has reconsidered the mathematical foundations underlying the quantum principles behind the technology, concluding that restrictions on the information-carrying capacity of large quantum systems could make their computing power far more limited than many researchers predict.</description>
                    <link>https://phys.org/news/2026-03-quantum-fundamental-limit.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Mon, 23 Mar 2026 11:00:07 EDT</pubDate>
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                    <title>Superconducting quantum processor performs well with significantly less wiring</title>
                    <description>Quantum computers, computing systems that process information using quantum mechanical effects, could outperform classical computers on some computational tasks. These computers rely on qubits, the basic units of quantum information, which can exist in multiple states (0, 1 or both simultaneously), due to quantum effects known as superposition and entanglement.</description>
                    <link>https://phys.org/news/2026-03-superconducting-quantum-processor-significantly-wiring.html</link>
                    <category>Superconductivity</category>                    <pubDate>Mon, 23 Mar 2026 09:30:01 EDT</pubDate>
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