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

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

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 ...

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

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

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

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

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 ...

The race against Q-Day has begun, and success will require not just technical innovation, but the wisdom to learn from each ...