Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...

ORCA Computing, a leading quantum computing company, today announced a blueprint for integrating photonic quantum AI into ...

Quantum Computing secures traction with an EmuCore sale to a global automaker and a $332,000 U.S. bank order for quantum ...

The Google Quantum AI team, in collaboration with researchers from Caltech and Purdue University, recently published an important paper introducing a series of generative quantum models. This research ...

The research shows that the topological structure of quantum circuits significantly impacts circuit complexity. The team found that ring topology requires the least number of SWAP gates after ...

Tapping into the growing market for Vertical AI solutions, the partnership between Marine Biologics and MQS addresses these ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

Day,” when quantum computers can break today’s encryption—possibly by 2030—posing risks for crypto, security, and finance.

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...