Science

Researchers have demonstrated a deterministic method for analyzing entangled photon pairs using a combination of orbital angular momentum and path encoding.

Researchers have developed a novel method for shielding quantum sensors from environmental noise, paving the way for more sensitive detection of elusive phenomena.

Researchers have developed a novel quantum reinforcement learning algorithm to efficiently identify the fixed points of quantum operations, opening new avenues for state preparation and analysis.

Researchers have built a 50-kilometer fiber optic interferometer sensitive enough to detect the subtle effects of gravity on quantum interference.

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.