Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems

11 November 2019

Papers citing "Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems"

4 / 4 papers shown

Title
Learning to learn with quantum neural networks via classical neural networks Guillaume Verdon Michael Broughton Jarrod R. McClean Kevin J Sung Ryan Babbush Zhang Jiang Hartmut Neven Masoud Mohseni 43 196 0 11 Jul 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 468 19,006 0 20 Jul 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 103 2,006 0 14 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 58 257 0 06 Jun 2016