Computer Sciences

Machine learning tool sorts the nuances of quantum data

An interdisciplinary team of Cornell and Harvard University researchers developed a machine learning tool to parse quantum matter and make crucial distinctions in the data, an approach that will help scientists unravel the ...

Machine learning & AI

Simple data gets the most out of quantum machine learning

New theoretical research proves that machine learning on quantum computers requires far simpler data than previously believed. The finding paves a path to maximizing the usability of today's noisy, intermediate-scale quantum ...

Computer Sciences

Neural networks make sense of complex electron interactions

Researchers from the Center for Materials Technologies at Skoltech have delivered a proof-of-concept demonstration of a neural network-driven method for creating a precise exchange-correlation functional interpolation, which ...

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