Archer Materials' QML fraud detector matches classical models in simulator: 118 frauds flagged, 1 false positive; validated ...

The London AI data centre integrates quantum, AI and high-performance computing infrastructure, enabling research into hybrid ...

The 12-month engagement, titled "Enhancing Pathology through Quantum Computing,” is funded through Avanza UC 2025, the Internal Research and Creation Competition of UC Chile. To the collaborators’ ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

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 ...

Cao rejoins following tenure as Head of Quantum at BCG X; Olson is one of the few IP attorneys globally who also has a background in theoretical physicsBOSTON, May 27, 2026 (GLOBE NEWSWIRE) -- Zapata ...