Quarl: A Learning-Based Quantum Circuit Optimizer

17 July 2023

Papers citing "Quarl: A Learning-Based Quantum Circuit Optimizer"

7 / 7 papers shown

Title
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search Animesh Sinha Utkarsh Azad Harjinder Singh 64 28 0 01 Apr 2021
Reinforcement learning for optimization of variational quantum circuit architectures M. Ostaszewski Lea M. Trenkwalder Wojciech Masarczyk Eleanor Scerri Vedran Dunjko 83 144 0 30 Mar 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 580 42,677 0 03 Dec 2019
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 84 3,241 0 22 Mar 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 589 19,315 0 20 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 521 15,369 0 07 Jun 2017
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016