Using a conventional computer and cutting-edge mathematical tools and code, physicists at the Center for Computational ...
One of the first steps toward becoming a scientist is discovering the difference between speed and velocity. To nonscientists, it’s usually a meaningless distinction. Fast is fast, slow is slow. But ...
Quantum computing’s edge looked closer after a hard physics problem seemed beyond classical machines. But a new result shows ...
Sam Mugel, Ph.D., is the CTO of Multiverse Computing, a global leader in developing value-driven quantum solutions for businesses. Carbon emissions continue to plague the planet’s climate and endanger ...
Tensor network methods provide a structured approach to representing and manipulating high-dimensional data by decomposing global information into interconnected low-rank tensors. Originating in the ...
A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach ...
(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...
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