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 ...

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 ...

三菱ケミカルグループ※1（以下「三菱ケミカル」）、慶應義塾大学（所在地：東京都港区、塾長：伊藤 公平、以下「慶大」）および日本アイ・ビー・エム株式会社（本社：東京都港区、代表取締役社長：山口 明夫、以下「日本IBM」）は、IBM Quantum Network Hub ...

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 ...

For analytically solvable DU circuits, they found that when moving away from exactly solvable points, quantum results agreed with advanced classical tensor-network simulations, even at scales where ...