In a collaboration showing the power of innovation and teamwork, physicists and engineers at the Department of Energy’s Oak Ridge National Laboratory developed a mobile muon detector that promises to enhance monitoring for spent nuclear fuel and help address a critical challenge for quantum computing.

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In quantum mechanics, particles such as electrons act like waves and can even interfere with themselves—a striking and counterintuitive feature that defies our classical view of reality. We know this kind of interference happens in space, where different paths can overlap and combine, but what if we could take it further? What if we could […]

The Ig Nobel Prize honors research that first makes people laugh, then makes them think. Its 35th award ceremony possibly also makes people hungry: ISTA physicist Fabrizio Olmeda and colleagues researched the secret of a perfect cacio e pepe pasta sauce. They received the popular award for their findings on Thursday evening in Boston, U.S. […]

UNSW engineers have made a significant advance in quantum computing: they created ‘quantum entangled states’—where two separate particles become so deeply linked they no longer behave independently—using the spins of two atomic nuclei. Such states of entanglement are the key resource that gives quantum computers their edge over conventional ones.

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When German physicist Wilhelm Röntgen discovered X-rays in the late 1800s while experimenting with cathode ray tubes, it was a breakthrough that transformed science and medicine. So much so that the basic concept remains in use today. But a team of researchers at Sandia National Laboratories believes they’ve found a better way, harnessing different metals […]

A team of scientists at Simon Fraser University’s Quantum Technology Lab and leading Canada-based quantum company Photonic Inc. have created a new type of silicon-based quantum device controlled both optically and electrically, marking the latest breakthrough in the global quantum computing race.

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By extending a proof of a physically important behavior in one-dimensional quantum spin systems to higher dimensions, a RIKEN physicist has shown in a new study that the model lacks exact solutions. The research is published in the journal Physical Review B.

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A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of artificial intelligence that combines probability theory and neural networks to analyze complex datasets with exceptional efficiency.

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