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 ...

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. The ...

博報堂DYホールディングス、量子ゲート型コンピュータに応用可能なテンソルネットワークを用いたNeRFモデルの圧縮を実証、3D画像生成の効率化を可能に -量子ゲート型コンピュータの活用に向けたblueqat社との共同研究第2弾- 株式会社博報堂DY ...

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 ...

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 ...

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.

株式会社富士通研究所は20日、人やモノのつながりを表現できるグラフ構造のデータから新たな知見を導く機械学習技術「Deep Tensor（ディープ テンソル）」を開発したと発表した。 データの特徴要素を自動的に抽出できるDeep Learning技術は、画像や音声の認識 ...