Ripples spreading across a calm lake after raindrops fall—and the way ripples from different drops overlap and travel outward—is one image that helps us picture how a quantum computer handles ...
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Quantum engineers turn theory into working physics using exciton-driven effects
Research led by scientists at the Okinawa Institute of Science and Technology (OIST) and ...
No single country or region dominates quantum-physics research in the Nature Index; institutions from China, Europe and the United States all feature in the top 10. The University of Science and ...
STOCKHOLM — John Clarke, Michel H. Devoret and John M. Martinis won the Nobel Prize in Physics on Tuesday for research into quantum mechanical tunneling. Clarke conducted his research at the ...
All three winners of today’s 2025 Nobel Prize in physics are faculty at the University of California. The Nobel Prize committee honored John Clarke, Michel H. Devoret and John M. Martinis “for the ...
There’s only a few days left in the International Year of Quantum Science and Technology, but we’re still finding plenty to celebrate here at Physics World HQ thanks to a long list of groundbreaking ...
Michel H. Devoret, the Frederick W. Beinecke Professor Emeritus of Applied Physics at Yale University, who has spent a career probing the intricate dynamics of qubits and quantum information, has won ...
STOCKHOLM, Sweden ‒ U.S.-based scientists John Clarke, Michel Devoret and John Martinis shared the 2025 Nobel Prize in Physics for "experiments that revealed quantum physics in action," paving the way ...
UC Santa Barbara physicists John Martinis and Michel Devoret have been awarded the 2025 Nobel Prize in Physics. Selected for the honor alongside UC Berkeley physicist and former advisor John Clarke, ...
STUART, Fla., Oct. 20, 2025 /PRNewswire/ -- In a defining moment for modern science and technology, Base Molecular Resonance™ Technologies (BMRT) has been named a 2026 Edison Award nominee for its ...
Machine learning models are being used more and more widely. However, they need a lot of training data to deliver good results. In industrial applications, this wealth of data is often not available ...
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