Using 19 different quantum computers, scientists demonstrate how entangled particles break limitations in accuracy on the sub-atomic scale.

Using 19 different quantum computers, scientists demonstrate how entangled particles break limitations in accuracy on the sub-atomic scale.
Putting a modern spin on old tech, scientists create a mechanical computer from metamaterials for situations where electronic computers break down.
Comparing algorithms used to model spinning neutron stars, scientists hope to better understand the physics of the elementary particles that make them up.
Rigid elements are holding soft robots back from their full potential, and new research suggests swapping in fluid-based systems.
The power demands of the Internet of Things could be combated with computing systems that mimic biological neurons.
Exploiting defects in 2D hexagonal boron nitride to create reliable single photons, researchers have upped their quantum encryption game.
Cold ytterbium atoms were used to test a fundamental theory which describes phenomena in solids such as magnetism and superconductivity.
Extra time dimensions provide scientists with a new way to think about phases of matter for more stable qubits and robust quantum computers.
Automated molecule design through machine learning helps scientists identify and synthesize a new polymer electrolyte for lithium-ion batteries.
Researchers take a different approach to machine learning to uncover the physics of optics in composite materials.