This article covers an example of the application of the QAOA algorithm for asset allocation using portfolio optimization and compares the results with traditional quadratic optimization. In modern ...

Captum is a model interpretability and understanding library for PyTorch. Captum means comprehension in Latin and contains general purpose implementations of integrated gradients, saliency maps, ...

We present a framework to split quantum circuits of variational quantum algorithms (VQAs) to allow for parallel training and execution to solve problems larger than the number of available qubits in a ...

The Snow Goose Algorithm (SGA) is a new meta-heuristic algorithm proposed in 2024, which has been proved to have good optimization effect, but there are still problems that are easy to fall into local ...

This repository provides an official CUDA/cuDNN-accelerated extension of the Neural Network Libraries deep learning framework. See Mixed precision training tutorial for a stable training technique ...

1 College of Railway Transportation, Hunan University of Technology, Zhuzhou, China. 2 Jiangsu Shengtong Electric New Energy Technology Co., Ltd., Changsha, China. 3 ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...

Rodents engage in active touch using their facial whiskers: they explore their environment by making rapid back-and-forth movements. The fast nature of whisker movements, during which whiskers often ...

Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, ...