In a recent gift to the Quantum Scholars program, local optics company Meadowlark Optics is generously supporting $70,000 in scholarships for undergraduates exploring the quantum field at the ...

Data from a new Nature study shows the feasibility of engineering a quantum mechanical process inside biological proteins. The study, which was led by an engineering team at the University of Oxford, ...

Research in the lab of UC Santa Barbara materials professor Stephen Wilson is focused on understanding the fundamental physics behind unusual states of matter and developing materials that can host ...

AUSTIN, Texas, Feb. 3, 2026 /PRNewswire/ -- FormationQ today announced the launch of a new applied quantum program in collaboration with the Cavendish Laboratory at the University of Cambridge.

A new light-based breakthrough could help quantum computers finally scale up. Stanford researchers created miniature optical cavities that efficiently collect light from individual atoms, allowing ...

In a paper published in Nature Materials, Wilson's lab group has reported on an innovative way to use a phenomenon referred to as frustration of long-range order in a material system to engineer ...

Q1 2026 Business Update and QDE CEO Interviewed on Vox Markets QDE continues to execute on its strategic evolution from a UK-focused flexible generation power operator to a modular, data-integrated ...

Researchers have realized a new design for a superconducting quantum processor, aiming at a potential architecture for the large-scale, durable devices the quantum revolution demands. Unlike the ...

Schrödinger’s cat just got a little bit fatter. Physicists have created the largest ever ‘superposition’ — a quantum state in which an object exists in a haze of possible locations at once. A team ...

Public filing of Form F-4 represents important milestone in transaction towards Xanadu becoming first and only publicly traded pure-play photonic quantum computing company. The proposed transaction, ...

Ford Pro's connected vehicle ecosystem will use machine learning and predictive analytics to identify issues before breakdowns occur, enabling automated alerts and digital work orders. Real-time data ...