Science

A new review explores how quantum algorithms could dramatically accelerate pattern recognition and data analysis at high-energy colliders.

A new machine learning framework reveals the complex relationships between quantum entanglement, magic, and fundamental entropy constraints.

New research explores how fundamental quantum properties-coherence and contextuality-can be leveraged as powerful resources for advanced quantum technologies.

This article synthesizes decades of research on the Sequential Testing Problem, offering a complete overview of its theory, algorithms, and real-world impact.

Large language models are forcing organizations to confront a fundamental question: what does it mean to ‘know’ something when the lines between human and artificial intelligence blur?

A comprehensive search of TESS single-planet systems reveals subtle gravitational tugs hinting at undiscovered companions.

Researchers have achieved precise control over the strong interaction between light and atomic vibrations in perovskite materials, opening new avenues for manipulating material properties.

A new analytical framework accurately models how planets deflect small bodies, determining their orbital lifetimes and ejection velocities.

As cyber-physical systems become more complex, clearly defining the underlying assumptions and guarantees is crucial for ensuring safe and dependable operation.

Researchers have extended the concept of Berry curvature to encompass mixed quantum states, unlocking new possibilities for precision measurement and parameter estimation.