Quantum Computing and Deep Learning Working Together to Solve Optimization Problems

Abstract

This paper explores the use of quantum computing for solving machine learning problems more efficiently. Today's quantum computers are rather primitive, so only relatively small machine learning problems can be solved at this time. Nevertheless, the machine learning problems described here that have been solved on quantum simulators or actual quantum computers indicates the potential power of quantum computers for solving computationally intensive machine learning problems such as the deep learning multi-layer neural networks.