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MIT researchers have created a method that guides popular AI models to design materials with special quantum properties, speeding up discoveries for technologies like quantum computing.

The agreement will provide up to ten thousand liters of rare helium-3 harvested from the moon to support quantum computing growth from 2028 onward.

Scientists uncover many new quantum states in twisted molybdenum ditelluride, potentially advancing topological quantum computers.

Researchers create QNodeOS, a new system to program quantum networks easily and bring this technology closer to everyday use.

New optical technology uses twisted light and specialized materials to stabilize qubits without extreme cold, potentially paving the way for affordable and widespread quantum computing networks in the future.

A new study shows small quantum computers can improve machine learning accuracy and save energy in future technology applications.

This new superconducting qubit lasts three times longer than top lab versions, pushing quantum computers toward practical use by boosting error correction and system scalability.

New quantum algorithm runs thousands of times faster than supercomputers, advancing molecular studies.

Exploring psi-like correlations using spatially separated Dirac‑3 quantum computers, combining chaos-sensitive optimization, strict blinding, and human/organoid event streams for reproducible, falsifiable experimental insights

A game for quantum computers demonstrates stable patterns for reliable calculations and potential real-world applications.