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Category: supercomputing – Page 12

Scientists have revolutionized the field of quantum photonics by employing high-performance computing to analyze quantum detectors at an unprecedented scale.

Their innovative approach involves the tomographic reconstruction of experimental data, enabling rapid and efficient characterization of photon detectors. This development promises to enhance quantum research significantly, paving the way for advanced applications in quantum computing and communication.

Breakthrough in quantum photonics with high-performance computing.

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Nuclear physics theorists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have demonstrated that complex calculations run on supercomputers can accurately predict the distribution of electric charges in mesons, particles made of a quark and an antiquark. Scientists are keen to learn more about mesons—and the whole class of particles made of quarks, collectively known as hadrons—in high-energy experiments at the future Electron-Ion Collider (EIC), a particle collider being built at Brookhaven Lab.

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Nuclear fission—when the nucleus of an atom splits in two, releasing energy—may seem like a process that is fully understood. First discovered in 1939 and thoroughly studied ever since, fission is a constant factor in modern life, used in everything from nuclear medicine to power-generating nuclear reactors. However, it is a force of nature that still contains mysteries yet to be solved.

Researchers from the University of Washington, Seattle, or UW, and Los Alamos National Laboratory have used the Summit supercomputer at the Department of Energy’s Oak Ridge National Laboratory to answer one of fission’s biggest questions: What exactly happens during the nucleus’s “neck rupture” as it splits in two?

The resulting paper is published in the journal Physical Review Letters.

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Crazy: Few would argue that Elon Musk is driven. Despite his various detractors, the entrepreneur has built Tesla and SpaceX into major competitors, if not leaders, in their respective industries. This success comes amid various side endeavors like Neuralink and Twitter/X transition. Now, his xAI team has gotten an AI supercluster up and running in just a few weeks.

Elon Musk and his xAI team have seemingly done the impossible. The company built a supercluster of 100,000 Nvidia H200 Blackwell GPUs in only 19 days. Nvidia CEO Jensen Huang called the feat “superhuman.” Huang shared the incredible story in an interview with the Tesla Owners Silicon Valley group on X.

According to Huang, constructing a supercomputer of this size would take most crews around four years – three years in planning and one year on shipping, installation, and operational setup. However, in less than three weeks, Musk and his team managed the entire process – from concept to full functionality. The xAI supercluster even completed its first AI training run shortly after the cluster was powered up.

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CAMBRIDGE, England, Oct. 15, 2024 — Nu Quantum has announced a proof-of-principle prototype that advances the development of modular, distributed quantum computers by enabling connections across different qubit modalities and providers. The technology, known as the Qubit-Photon Interface, functions similarly to Network Interface Cards (NICs) in classical computing, facilitating communication between quantum computers over a network and supporting the potential growth of quantum infrastructure akin to the impact NICs have had on the Cloud and AI markets.

For quantum computers to achieve practical applications—such as accurately simulating atomic-level interactions—they must scale to 1,000 times their current size. This will require a shift from single quantum processing units (QPUs) to distributed quantum systems composed of hundreds of interconnected QPUs, operating at data center scale, similar to cloud and AI supercomputers.

The efficient transfer of quantum information between matter and light at the quantum level is the biggest challenge to scaling quantum computers, and this is the specific issue that the QPI addresses.

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