Researchers have developed a transferable deep quantum Monte Carlo method that leverages parameter sharing and dynamic state ordering to compute...

A factorial study of 42 quantum algorithm variants finds that physics-informed initialization dramatically improves low-budget power grid scheduling but collapses...

A conceptual study proposes using laser-generated shock waves to ignite neutron-free proton-boron fusion and sustain alpha-particle avalanche chain reactions, with...

Direct measurements by Parker Solar Probe reveal that observed non-Maxwellian proton velocity distributions sustain coherent proton cyclotron waves and produce...

A theoretical study shows that quadratic f(R) gravity severs the exterior geometries of black holes and neutron stars through a...

A physics-informed graph neural network achieved 92.48% overall accuracy in predicting industrial robotic arm fatigue life across variable-load conditions.

Lund University has constructed a compact accelerator-driven neutron source based on a repurposed 3 MV Pelletron accelerator to drive advanced...

Theoretical physicists have developed a quantum scattering framework revealing that icosahedral symmetry dictates rotational quenching rates and collisional selection rules...

A 49-qubit fragment-encoded quantum convolutional neural network running on IBM's Heron r2 processor classified full-resolution images without classical preprocessing.

Researchers have proposed IBFS, a PKG-managed framework that adds authenticated identity binding and traceability to the compact post-quantum signature scheme...