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 ...

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 ...

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 ...

Quantum computing’s edge looked closer after a hard physics problem seemed beyond classical machines. But a new result shows ...

The future of the spatial economy is quite literally being built on the dust of the past. Scientists are working to scrunch AI models with tensor networks, a mathematical framework borrowed from ...

SUNNYVALE, Calif., and RESTON, Va., Oct. 14, 2025 (GLOBE NEWSWIRE) -- Tensor Networks, Inc., a leader in Predictive AI, and Carahsoft Technology Corp., The Trusted ...

HOLO first carefully selects high-quality quantum bits and employs advanced ion trapping technology to construct a stable and reliable quantum bit system within the quantum processor. Ion trapping ...

(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 ...

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 ...

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 ...