Experimental device harnesses quantum properties for efficient processing at room temperature. Engineers are working to ...

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

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.

He has authored or co-authored more than 500 published articles and eight books in the fields of mathematical optimization, computer science and artificial intelligence, and is the originator of the ...

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 ...

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 ...

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 ...

This course introduces high-performance computing (“HPC”) systems, software, and methods used to solve large-scale problems in science and engineering. It will focus on the intersection of two ...

Abstract We introduce Bayesian code diffusion, a new deep learning program optimization strategy devised to accelerate the auto-tuning process of deep ...

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 ...