A new theoretical study shows that a slit's diffraction pattern, symmetric in the laboratory frame, becomes asymmetric when viewed from...

Researchers have developed a hybrid AI method that combines artificial potential field guidance with an LSTM-enhanced Soft Actor–Critic algorithm to...

Researchers have proposed a three-wave mixing scheme in cold atoms that coherently converts twisted microwave fields carrying orbital angular momentum...

Researchers have unveiled a framework that trains personalized quantum classifiers across many users while each label is privatized locally, guaranteeing...

Researchers have combined quantum-mechanical simulations, neural networks, and Bayesian statistics to cut the voltage prediction error of a physics-based lithium-ion...

Researchers have demonstrated a protocol that verifies a remote party's position by combining coherent states of laser light with relativistic...

A multi-analytical study of medieval pottery wasters from Utrecht reveals how potters between the 12th and 15th centuries combined local...

A comprehensive new review finds that quantum graph neural networks deliver real parameter efficiency and task-specific utility, but definitive quantum...

Researchers have developed a lattice-based group signature scheme that offers post-quantum security, user-controlled linkability, and efficient revocation for privacy-critical applications.

A new theoretical study maps the design space of strained silicon quantum-dot superlattices that could support intermediate-band photovoltaics compatible with...