Tensor network methods have emerged as powerful tools in the investigation of strongly correlated quantum systems, offering systematic ways to capture and manipulate the entanglement inherent in ...
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AI tensor network-based computational framework cracks a 100-year-old physics challenge
Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics.
Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...
Christopher Savoie, PhD is the CEO & founder of Zapata Computing. He is a published scholar in medicine, biochemistry and computer science. ChatGPT took the world by storm in November 2022, gaining 1 ...
Sam Mugel, Ph.D., is the CTO of Multiverse Computing, a global leader in developing value-driven quantum solutions for businesses. Quantum mechanics, which is the study of the behavior of sub-atomic ...
A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...
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