Papers citing 'Optimizing Quantum Error Correction Codes with Reinforcement Learning'

Title
A Primer on Quantum Machine Learning Su Yeon Chang M. Cerezo 116 1 0 20 Nov 2025
BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search Azhar Ikhtiarudin Aditi Das Param Thakkar Akash Kundu 65 4 0 16 Jul 2025
Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction Nico Meyer Christopher Mutschler Andreas R. Maier Daniel D. Scherer 155 2 0 13 Jun 2025
Quantum computing and artificial intelligence: status and perspectives Giovanni Acampora Andris Ambainis Natalia Ares Leonardo Banchi Pallavi Bhardwaj ... Markus Schmitt Philipp Slusallek Filippo Vicentini Christof Weitenberg Frank K. Wilhelm 282 1 0 29 May 2025
Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning Austin Yubo He Zi-Wen Liu 338 6 0 21 Feb 2025
Enhancing Quantum Memory Lifetime with Measurement-Free Local Error Correction and Reinforcement Learning Mincheol Park N. Maskara Marcin Kalinowski Mikhail D. Lukin 144 5 0 18 Aug 2024
Model-free Distortion Canceling and Control of Quantum Devices A. F. Fouad A. Youssry A. El-Rafei Sherif Hammad 129 3 0 13 Jul 2024
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects Ge Yan Wenjie Wu Yuheng Chen Kaisen Pan Xudong Lu Zixiang Zhou Wang Yuhan Ruocheng Wang Junchi Yan 171 34 0 30 Jun 2024
Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code Nicolas Dupuis Luca Buratti Sanjay Vishwakarma Aitana Viudes Forrat David Kremer Ismael Faro Ruchir Puri Juan Cruz-Benito 198 25 0 29 May 2024
Compilation of product-formula Hamiltonian simulation via reinforcement learning Lea M. Trenkwalder Eleanor Scerri Thomas E. O'Brien Vedran Dunjko 82 3 0 07 Nov 2023
Discovery of Optimal Quantum Error Correcting Codes via Reinforcement LearningPhysical Review Applied (Phys. Rev. Appl.), 2023 V. P. Su ChunJun Cao Hong-Ye Hu Y. Yanay C. Tahan Brian Swingle 140 24 0 10 May 2023
Towards interpretable quantum machine learning via single-photon quantum walksQuantum Science and Technology (Quantum Sci. Technol.), 2023 Fulvio Flamini Marius Krumm Lukas J. Fiderer Thomas Müller Hans J. Briegel 223 9 0 31 Jan 2023
Automated Gadget Discovery in Science Lea M. Trenkwalder Andrea López-Incera Hendrik Poulsen Nautrup Fulvio Flamini Hans J. Briegel 124 3 0 24 Dec 2022
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse E. S. Matekole Esther Ye Ramya Iyer Samuel Yen-Chi Chen 137 6 0 22 Dec 2022
An Invitation to Distributed Quantum Neural NetworksQuantum Machine Intelligence (QMI), 2022 Lirande Pira C. Ferrie 130 25 0 14 Nov 2022
AutoQC: Automated Synthesis of Quantum Circuits Using Neural NetworkInternational Conference on Software Quality, Reliability and Security (QRS), 2022 Kentaro Murakami Jianjun Zhao 87 5 0 06 Oct 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum CircuitsMathematical and Scientific Machine Learning (MSML), 2022 Jiahao Yao Haoya Li Marin Bukov Lin Lin Lexing Ying 130 19 0 30 Mar 2022
Quantum Architecture Search via Continual Reinforcement Learning Esther Ye Samuel Yen-Chi Chen 204 40 0 10 Dec 2021
Policy Gradient Approach to Compilation of Variational Quantum CircuitsQuantum (Quantum), 2021 David A. Herrera-Martí 266 3 0 19 Nov 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 211 100 0 01 Sep 2021
Quantum Architecture Search via Deep Reinforcement Learning En-Jui Kuo Yao-Lung L. Fang Samuel Yen-Chi Chen AI4CE 166 116 0 15 Apr 2021
Learning quantum data with the quantum Earth Mover's distanceQuantum Science and Technology (QST), 2021 B. Kiani Giacomo De Palma M. Marvian Zi-Wen Liu S. Lloyd 264 53 0 08 Jan 2021
Quantum reinforcement learning in continuous action spaceQuantum (Quantum), 2020 Shaojun Wu Shan Jin Dingding Wen Donghong Han Xiaoting Wang LRM 393 56 0 19 Dec 2020
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy NetworksMathematical and Scientific Machine Learning (MSML), 2020 Jiahao Yao Paul Köttering Hans Gundlach Lin Lin Marin Bukov 247 15 0 12 Dec 2020
Machine learning pipeline for quantum state estimation with incomplete measurements Onur Danaci Sanjaya Lohani Brian T. Kirby R. Glasser 206 25 0 05 Dec 2020
Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving Jiahao Yao Lin Lin Marin Bukov BDL AI4CE 335 68 0 07 Oct 2020
Quantum Long Short-Term MemoryIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Samuel Yen-Chi Chen Shinjae Yoo Yao-Lung L. Fang 199 219 0 03 Sep 2020
Machine learning assisted quantum state estimation Sanjaya Lohani Brian T. Kirby M. Brodsky Onur Danaci R. Glasser 181 90 0 06 Mar 2020
Learning models of quantum systems from experimentsNature Physics (Nat. Phys.), 2020 Antonio A. Gentile Brian Flynn S. Knauer N. Wiebe S. Paesani C. Granade J. Rarity R. Santagati A. Laing 132 70 0 14 Feb 2020
A Multi-Scale Tensor Network Architecture for Classification and Regression J. Reyes Miles E. Stoudenmire 123 28 0 22 Jan 2020
Operationally meaningful representations of physical systems in neural networks Hendrik Poulsen Nautrup Tony Metger Raban Iten Sofiene Jerbi Lea M. Trenkwalder H. Wilming Hans J. Briegel R. Renner AI4CE NAI 126 30 0 02 Jan 2020
Quantum enhancements for deep reinforcement learning in large spaces Sofiene Jerbi Lea M. Trenkwalder Hendrik Poulsen Nautrup Hans J. Briegel Vedran Dunjko 213 5 0 28 Oct 2019
On the convergence of projective-simulation-based reinforcement learning in Markov decision processesQuantum Machine Intelligence (QMI), 2019 Walter L. Boyajian Jens Clausen Lea M. Trenkwalder Vedran Dunjko Hans J. Briegel 209 16 0 25 Oct 2019
Deep Reinforcement Learning Control of Quantum CartpolesPhysical Review Letters (PRL), 2019 Zhikang T. Wang Yuto Ashida Masahito Ueda 211 44 0 21 Oct 2019
How a minimal learning agent can infer the existence of unobserved variables in a complex environmentMinds and Machines (MM), 2019 K. Ried B. Eva Thomas Müller Hans J. Briegel 123 18 0 15 Oct 2019
Encoders and Decoders for Quantum Expander Codes Using Machine Learning Sathwik Chadaga Mridul Agarwal Vaneet Aggarwal 91 1 0 06 Sep 2019
Learning Algebraic Models of Quantum EntanglementQuantum Information Processing (QIP), 2019 Hamza Jaffali Luke Oeding 150 10 0 27 Aug 2019
Photonic architecture for reinforcement learningPhotonics North (PN), 2019 Fulvio Flamini A. Hamann Sofiene Jerbi Lea M. Trenkwalder Hendrik Poulsen Nautrup Hans J. Briegel 210 31 0 17 Jul 2019
Variational Quantum Circuits for Deep Reinforcement LearningIEEE Access (IEEE Access), 2019 Samuel Yen-Chi Chen Chao-Han Huck Yang Jun Qi Pin-Yu Chen Xiaoli Ma H. Goan 235 387 0 30 Jun 2019
Machine learning for long-distance quantum communication J. Wallnöfer A. Melnikov W. Dür Hans J. Briegel 201 97 0 24 Apr 2019
Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix C. Chinni Abhishek Kulkarni Dheeraj M. Pai Kaushik Mitra P. Sarvepalli 145 9 0 21 Jan 2019