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 ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation and Infrastructure. Two-dimensional (2D) materials and their heterostructures have been widely explored for ...

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 ...

A new study offers a user-friendly template for simulating quantum systems on consumer laptops, saving supercomputers for ...

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, ...

Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system. The work is one of the relatively few instances of using AI ...

The nature of dark matter remains one of the greatest mysteries in cosmology. Within the standard framework of ...

Based on her work, scientists can now monitor electron dynamics happening in a few attoseconds – an attosecond is to a second as a second is to about 31.71 billion years. L’Huillier, a French ...

Researchers at the University at Buffalo have enhanced a computationally efficient technique referred to as the truncated Wigner approximation (TWA), a type of physics shortcut that simplifies quantum ...