Quantum Architecture Search via Deep Reinforcement Learning

Quantum Architecture Search via Deep Reinforcement Learning

15 April 2021

Yao-Lung L. Fang

Samuel Yen-Chi Chen

Papers citing "Quantum Architecture Search via Deep Reinforcement Learning"

16 / 16 papers shown

Title
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search Vincenzo Lipardi Domenica Dibenedetto Georgios Stamoulis Mark H.M. Winands 121 0 0 06 Feb 2025
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 36 8 0 10 Jun 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 34 5 0 04 Jun 2024
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
Enhancing variational quantum state diagonalization using reinforcement learning techniques Akash Kundu Przemyslaw Bedelek M. Ostaszewski Onur Danaci Yash J. Patel Vedran Dunjko Jaroslaw Adam Miszczak 32 8 0 19 Jun 2023
CQural: A Novel CNN based Hybrid Architecture for Quantum Continual Machine Learning Sanyam Jain CLL 24 1 0 16 May 2023
The quantum cost function concentration dependency on the parametrization expressivity Lucas Friedrich Jonas Maziero 38 14 0 17 Jan 2023
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits Lidong Ding Lee Spector 29 15 0 23 Aug 2022
Automated Quantum Circuit Design with Nested Monte Carlo Tree Search Peiyue Wang M. Usman U. Parampalli Lloyd C. L. Hollenberg C. Myers 17 16 0 01 Jul 2022
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization Trong Duong Sang T. Truong Minh Tam B. Bach Juno Ryu J. Rhee 14 14 0 28 Jun 2022
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning Qiuhao Chen Yuxuan Du Qi Zhao Yuliang Jiao Xiliang Lu Xingyao Wu 23 12 0 14 Apr 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits Jiahao Yao Haoya Li Marin Bukov Lin Lin Lexing Ying 16 15 0 30 Mar 2022
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 38 82 0 01 Sep 2021
Reinforcement learning for optimization of variational quantum circuit architectures M. Ostaszewski Lea M. Trenkwalder Wojciech Masarczyk Eleanor Scerri Vedran Dunjko 29 135 0 30 Mar 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016
Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics Pantita Palittapongarnpim P. Wittek E. Zahedinejad Shakib Vedaie B. Sanders AI4CE 51 87 0 12 Jul 2016