Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning

21 November 2019

Papers citing "Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning"

5 / 5 papers shown

Title
TabularQGAN: A Quantum Generative Model for Tabular Data Pallavi Bhardwaj Caitlin Jones Lasse Dierich Aleksandar Vučković 26 0 0 28 May 2025
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance Yunfei Wang Junyu Liu 77 40 0 21 Jan 2024
Policy Gradient Approach to Compilation of Variational Quantum Circuits David A. Herrera-Martí 78 3 0 19 Nov 2021
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks Jiahao Yao Paul Köttering Hans Gundlach Lin Lin Marin Bukov 95 14 0 12 Dec 2020
Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving Jiahao Yao Lin Lin Marin Bukov BDL AI4CE 120 62 0 07 Oct 2020