Machine learning meets quantum physics

Abstract

The marriage of machine learning and quantum physics may give birth to a new research frontier that could transform both.

The following article appeared in Physics Today, March 2019, page 48

References in corpus (3)

• The density-matrix renormalization group in the age of matrix product states
• Quantum algorithm for solving linear systems of equations
• Learning phase transitions by confusion

Cited by in corpus (6)

• A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms
• Quantum Neural Network Classifiers: A Tutorial
• Challenges and perspectives for new material solutions in batteries
• Entropy, Free Energy, and Work of Restricted Boltzmann Machines
• State Classification via a Random-Walk-Based Quantum Neural Network
• Quantum Compiling by Deep Reinforcement Learning