A light-matter hybrid material on attosecond scales showcases enhanced conductivity with potential applications in solar cells and high-power electronics.
Andrey Feldman
Andrey got his B.Sc. and M.Sc. degrees in elementary particle physics from Novosibirsk State University, and a Ph.D. in string theory from the Weizmann Institute of Science. Currently, he works as a science writer, specializing in physics, space, and technology.
Next-gen computing replaces transistors with quantum dots
Scientists pioneer mixed-valence molecules in quantum-dot automata for faster, room-temperature operation, overcoming transistor limits.
Unexpected player links gravity and metamaterials
Scientists uncover a surprising link between hyperbolic metamaterials and gravity, revealing that light behaves similarly in both realms.
Scientists look for “new physics” beyond the Standard Model
Even a well-established theory like the Standard Model is not accurate all the time, and there are phenomena that defy its predictions.
BabyIAXO upgrade promises breakthrough in the hunt for dark matter
Scientists propose an enhancement to the BabyIAXO axion detector, paving the way for an intensified search for elusive dark matter particles.
Taming computers’ energy consumption with a new “spin glass” material
A newly discovered material and its intriguing properties could pave the way for more efficient computing.
A new mathematical description for entangled systems
The math of multi-particle entangled systems is fiendishly complex, but researchers have made a step forward.
Breaking the quantum limit in gravitational wave detectors
Physicists working on LIGO have surpassed the quantum limit to enhance gravitational wave detectors and revolutionize astrophysical observations.
Revolutionizing quantum technologies with photons made from quantum dots
Harnessing quantum dots to produce low-energy single photons for applications in secure communications and quantum computing.
Machine learning’s quantum leap into superconductors and quantum computers
Machine learning unravels the secrets of the Gaudin model, paving the way for improved quantum technologies and a deeper understanding of quantum behavior.