A visual representation of tensor networks. (Lucy Reading-Ikkanda/Simons Foundation) Efforts to advance quantum computing are ...

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 ...

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 ...

D-Wave Quantum (QBTS) stock dropped 5.37% after researchers claimed classical computing could match its quantum performance.

(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 ...