Princeton chemists and computer scientists teamed up to develop open-source software that provides them with a state-of-the-art optimization algorithm to use in everyday work, folding what’s been ...

Yufei Ding, an assistant professor in UC Santa Barbara’s Computer Science Department, has developed a plan to improve the efficiency and accuracy of quantum applications in the next generation of ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...

Like any complex system, however, there is always room for improvement and optimization, according to Rui Zhang, assistant professor of computer science and engineering in the Penn State School of ...

In this landmark publication, the authors not only deploy the first implementation of efficient quantum optimization on a real quantum computer, but also showcase unprecedented quantum hardware power.

Human decision making in computer optimization yields hot plasma in alt-fusion.

Computer scientists have shown that existing compilers, which tell quantum computers how to use their circuits to execute quantum programs, inhibit the computers' ability to achieve optimal ...

More information: Xiaomeng Sui et al, Non-convex optimization for inverse problem solving in computer-generated holography, Light: Science & Applications (2024).

This article addresses the issue of kriging-based optimization of stochastic simulators. Many of these simulators depend on factors that tune the level of precision of the response, the gain in ...

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