The truth is that even the most optimistic vendor estimates for this would put very nascent stages of enterprise value toward the end of the decade. Quantum computing will probably never get a ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Imagine being able to build a master school schedule in 30 minutes.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...

Researchers at Queen’s University have built a different kind of computer—one that uses light instead of electronics to overcome this problem.

Shape optimization of the inner (stagnation) boundary for 2D axisymmetric swirling flow using parallel FEM solver with multiple optimizers and spline interpolation methods. This code is designed for ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

Abstract: Fast optimization of arbitrary-shaped antennas is enabled by a neural network model, trained by a Method of Moments (MoM) framework capable of evaluating large sets of pixel-based antenna ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...