Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

Floquet control uses time-periodic drives to engineer quantum systems, creating dynamic changes in material properties ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

The National Testing Agency (NTA) has issued the subject wise NEET 2026 syllabus on this website soon after the NMC released ...

The Kennedy College of Science, Department of Chemistry, invites you to attend a Ph.D. Research Proposal defense by Kithma Sajini entitled “Computational Investigation of Ligand-Protected Gold ...

The 2026 ACS president will spend the society's 150th anniversary focusing on growing ACS's platform and engaging its members ...

Cosmologists are increasingly entertaining a radical possibility: that the cosmos might fold back on itself so that, on the ...

When it comes to developing faster and smaller chips to power next-generation electronic devices, Silicon is seen as the leading option. This abundant, cheap semiconductor provides acceptable carrier ...

Scientists have made a major step toward using quasiparticles - particles displaying collective behavior - to hunt for axions ...

Quantum theory and Einstein's theory of general relativity are two of the greatest successes in modern physics. Each works ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have made a significant discovery regarding ...

When scientists repeatedly drove a strongly interacting quantum system with laser “kicks,” they expected it to heat up and ...