Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation

16 October 2018

Papers citing "Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation"

24 / 24 papers shown

Title
Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning Austin Yubo He Zi-Wen Liu 97 3 0 21 Feb 2025
Artificially intelligent Maxwell's demon for optimal control of open quantum systems P. A. Erdman R. Czupryniak Bibek Bhandari Andrew N. Jordan Frank Noé J. Eisert Giacomo Guarnieri 49 2 0 27 Aug 2024
Enhancing Quantum Memory Lifetime with Measurement-Free Local Error Correction and Reinforcement Learning Mincheol Park N. Maskara Marcin Kalinowski Mikhail D. Lukin 28 1 0 18 Aug 2024
Trainability issues in quantum policy gradients André Sequeira Luis Paulo Santos Luis Soares Barbosa 51 1 0 13 Jun 2024
Optimizing ZX-Diagrams with Deep Reinforcement Learning Maximilian Nägele Florian Marquardt AI4CE 36 10 0 30 Nov 2023
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers Hanrui Wang Pengyu Liu Kevin Shao Dantong Li Jiaqi Gu David Z. Pan Yongshan Ding Song Han 35 8 0 27 Nov 2023
Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network Johannes Bausch Andrew W. Senior Francisco J. H. Heras Thomas Edlich Alex Davies ... C. Gidney Demis Hassabis Sergio Boixo Hartmut Neven Pushmeet Kohli 30 31 0 09 Oct 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 25 24 0 03 Jul 2023
Machine-learning based noise characterization and correction on neutral atoms NISQ devices Ettore Canonici Stefano Martina R. Mengoni D. Ottaviani Filippo Caruso 13 7 0 27 Jun 2023
Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning V. P. Su ChunJun Cao Hong-Ye Hu Y. Yanay C. Tahan Brian Swingle 23 16 0 10 May 2023
Deep Quantum Error Correction Yoni Choukroun Lior Wolf 27 8 0 27 Jan 2023
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse E. S. Matekole Esther Ye Ramya Iyer Samuel Yen-Chi Chen 29 2 0 22 Dec 2022
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning P. A. Erdman Frank Noé 33 9 0 10 Apr 2022
Quantum Architecture Search via Continual Reinforcement Learning Esther Ye Samuel Yen-Chi Chen 18 27 0 10 Dec 2021
A scalable and fast artificial neural network syndrome decoder for surface codes S. Gicev Lloyd C. L. Hollenberg M. Usman LRM AI4CE 37 33 0 12 Oct 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 40 82 0 01 Sep 2021
Identifying optimal cycles in quantum thermal machines with reinforcement-learning P. A. Erdman Frank Noé AI4CE 17 71 0 30 Aug 2021
Quantum machine learning and quantum biomimetics: A perspective L. Lamata AI4CE 15 57 0 25 Apr 2020
Quantum enhancements for deep reinforcement learning in large spaces Sofiene Jerbi Lea M. Trenkwalder Hendrik Poulsen Nautrup H. Briegel Vedran Dunjko 27 5 0 28 Oct 2019
Geometry of learning neural quantum states Chae-Yeun Park M. Kastoryano 32 60 0 24 Oct 2019
Photonic architecture for reinforcement learning Fulvio Flamini A. Hamann Sofiene Jerbi Lea M. Trenkwalder Hendrik Poulsen Nautrup H. Briegel 16 29 0 17 Jul 2019
Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix C. Chinni Abhishek Kulkarni Dheeraj M. Pai Kaushik Mitra P. Sarvepalli 14 9 0 21 Jan 2019
Optimizing Quantum Error Correction Codes with Reinforcement Learning Hendrik Poulsen Nautrup Nicolas Delfosse Vedran Dunjko H. Briegel N. Friis 22 155 0 20 Dec 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 26 867 0 23 Mar 2018