Enabling the discovery of unknown quantum many-body phases of matter remains a fundamental challenge in machine learning for quantum physics. Here, inspired by the close relationship between ...

Without large quantum computers to empirically evaluate performance, theoretical frameworks such as the quantum statistical query (QSQ) are a primary tool to study quantum algorithms for learning ...

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning.

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these ...

量子コンピュータの実機開発が進んでいるなかで、量子コンピュータでどのような計算が可能なのかというアルゴリズムの研究も非常に重要です。 グリッドでは2017年より量子アルゴリズムの研究活動を開始し、2019年よりIBM Q Networkに参加し、IBM Qを活用し ...

SC18におけるSCベンダーフォーラムでAtosは「Quantum Learning Machine(QLM)」のプレゼンテーションを行った。Atosは、日本では余りなじみがない会社であるが、売り上げ規模は15兆円というフランスの巨大IT企業で、現在ではBullもAtosグループ傘下の会社となっている。

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (WiMi or the Company), a leading global Hologram Augmented Reality (AR) Technology ...

After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can be only one big winner—if there is a winner at all. I’m standing in front ...

Detailed price information for D-Wave Quantum Inc (QBTS-N) from The Globe and Mail including charting and trades.