Quantum many-body physics explores emergent properties of many interacting quantum particles, which often have no counterpart in classical systems. Of particular interest is the study of ...

In a groundbreaking study published in Nature on October 22, scientists have unveiled a novel approach to detecting quantum dynamics through a method known as 'time reversal.' This research, conducted ...

New experiments using one-dimensional gases of ultra-cold atoms reveal a universality in how quantum systems composed of many particles change over time following a large influx of energy that throws ...

The 2023 Nobel Prize in Physics has been awarded to three researchers for their contributions to attosecond science. The prize honors Pierre Agostini of the Ohio State University, Ferenc Krausz of the ...

Scientists used fluid dynamics to learn how to get the most flavor from pour-over coffee. By Katrina Miller More than a billion cups of coffee are consumed daily: French-press, espresso, cold brew, ...

Dr. Wurtele joins at a pivotal time for nT-Tao as the company advances its fusion research capabilities and accelerates toward commercialization. His deep expertise in plasma physics, accelerator ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

YOU may think that complex equations and alcohol don’t, or perhaps shouldn’t, mix. But make your favourite cocktail and you will unknowingly encounter some of the most complex processes in fluid ...