Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

University of Tennessee researchers James Ostrowski and Rebekah Herrman are developing quantum-computing tools to tackle multi-stage stochastic decision problems in fields like energy, logistics, and ...

This project implements a Movie Recommendation System using a Multi-Armed Bandit algorithm with the Upper Confidence Bound (UCB) strategy for a Numerical Optimization course. The goal is to recommend ...

Abstract: Quantum Approximate Optimization Algorithm (QAOA) is a quantum algorithm capable of solving combinatorial optimization problems on gate-based quantum computers. Postprocessing Variationally ...

normal_distribution_approach.m: Tries to find optimal solution by drawing samples from a normal distribution with SDP solution as its covariance normal_distribution_greedy_approach.m: Combines normal ...