Mapping the Milky Way’s Dark Side

New simulations and machine learning techniques are refining our understanding of dark matter’s distribution within our galaxy, paving the way for more sensitive direct detection experiments.

New simulations and machine learning techniques are refining our understanding of dark matter’s distribution within our galaxy, paving the way for more sensitive direct detection experiments.
New research explores the surprising potential for amplifying a fragile quantum property, and defines the boundaries of its enhancement under realistic constraints.

New research reveals a unifying principle governing how quantum systems transition between phases, even when driven far from equilibrium.

Researchers have discovered an exactly solvable model demonstrating how non-Hermitian dynamics can give rise to exotic quantum phenomena in dissipative spin liquids.

A new analysis reveals the limits of simplified modeling techniques used to predict how light pulses behave within dispersive optical cavities.
A new approach selectively builds upon promising generations during inference, boosting performance beyond traditional methods.
Researchers demonstrate a promising pump-free method for converting microwave signals into optical photons, a critical step towards building long-distance quantum communication systems.

New research explores a practical method for precisely calibrating multiple qubit rotations using Bayesian inference.

Researchers have successfully used a programmable array of Rydberg atoms to model the process of false vacuum decay, offering a new platform to explore fundamental questions about the stability of the universe.

Researchers have developed a new framework for controlling non-Hermitian quantum systems, overcoming limitations imposed by their inherent instability.