Department of Energy Announces $71 Million for Research on Quantum Information Science Enabled Discoveries in High Energy Physics
Department of Energy Announces $71 Million for Research on Quantum Information Science Enabled Discoveries in High Energy Physics
the U.S. Department of Energy (DOE) announced $71 million in funding for 25 projects in high energy physics that will use the emerging technologies of quantum information science to answer fundamental questions about the universe.
New Type of Quantum Computer Studies the Dance of Elementary Particles
New Type of Quantum Computer Studies the Dance of Elementary Particles
Using a novel type of quantum computer, Martin Ringbauer’s experimental team at the University of Innsbruck, and the theory group led by Christine Muschik at IQC at the University of Waterloo, Canada report in a publication in the journal Nature Physics how they have successfully simulated a complete quantum field theory in more than one spatial dimension.
Understanding Quantum Disorder Inside Black Holes: Bridging the Gap Between Quantum Mechanics and General Relativity
Understanding Quantum Disorder Inside Black Holes: Bridging the Gap Between Quantum Mechanics and General Relativity
Black holes (BHs) are located at the intersection of gravity and quantum mechanics, making them one of the most important areas of study of modern high-energy physics. This 12-month project, supported by The Royal Society, aims to explore the quantum properties of BHs and their microscopic details, contributing to a deeper understanding of these objects.
Professor Blundell Recognised by IOP
Professor Blundell Recognised by IOP
Professor Stephen Blundell from the Department of Physics at the University of Oxford has been awarded the 2024 Institute of Physics Lawrence Bragg Medal and Prize. The IOP gold medal recognises Professor Blundell’s contributions to physics scholarship and education through the publication of widely-used and influential physics textbooks.
Complex Quantum Calculations Could Be a Whole Lot Faster by Borrowing Ideas From Deep Learning
Complex Quantum Calculations Could Be a Whole Lot Faster by Borrowing Ideas From Deep Learning
Now, Lingxiao Wang of the RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) and colleagues in the United Kingdom and Germany have shown that one such approach, known as stochastic quantization, corresponds to another statistical technique used in deep learning called generative diffusion.
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