Discovering autonomous quantum error correction via deep reinforcement learning
Fuente:
arXiv
Saved in:
| Main Authors: | Yin, Yue, Xiao, Tailong, Deng, Xiaoyang, He, Ming, Fan, Jianping, Zeng, Guihua |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Heisenberg limit without critical slowing down via quantum reinforcement learning
by: Xu, Hang, et al.
Published: (2025)
by: Xu, Hang, et al.
Published: (2025)
Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning
by: He, Austin Yubo, et al.
Published: (2025)
by: He, Austin Yubo, et al.
Published: (2025)
Noise-Resilient Heisenberg-limited Quantum Sensing via Indefinite-Causal-Order Error Correction
by: Xu, Hang, et al.
Published: (2026)
by: Xu, Hang, et al.
Published: (2026)
Learning to Restore Heisenberg Limit in Noisy Quantum Sensing via Quantum Digital Twin
by: Xu, Hang, et al.
Published: (2025)
by: Xu, Hang, et al.
Published: (2025)
Quantum neural compressive sensing for ghost imaging
by: Zhai, Xinliang, et al.
Published: (2025)
by: Zhai, Xinliang, et al.
Published: (2025)
Curriculum reinforcement learning for quantum architecture search under hardware errors
by: Patel, Yash J., et al.
Published: (2024)
by: Patel, Yash J., et al.
Published: (2024)
Optical diffraction neural networks assisted computational ghost imaging through dynamic scattering media
by: Li, Yue-Gang, et al.
Published: (2025)
by: Li, Yue-Gang, et al.
Published: (2025)
Sample-efficient quantum error mitigation via classical learning surrogates
by: Liao, Wei-You, et al.
Published: (2025)
by: Liao, Wei-You, et al.
Published: (2025)
Automatic re-calibration of quantum devices by reinforcement learning
by: Crosta, T., et al.
Published: (2024)
by: Crosta, T., et al.
Published: (2024)
Exploring the holographic entropy cone via reinforcement learning
by: He, Temple, et al.
Published: (2026)
by: He, Temple, et al.
Published: (2026)
Controlling Unknown Quantum States via Data-Driven State Representations
by: Zhu, Yan, et al.
Published: (2024)
by: Zhu, Yan, et al.
Published: (2024)
Incorporating rank-free coupling and external field via an incoherent modulated spatial photonic Ising machine
by: Zheng, Ze, et al.
Published: (2025)
by: Zheng, Ze, et al.
Published: (2025)
Deep reinforcement learning for near-deterministic preparation of cubic- and quartic-phase gates in photonic quantum computing
by: Anteneh, Amanuel, et al.
Published: (2025)
by: Anteneh, Amanuel, et al.
Published: (2025)
Quantum delegated and federated learning via quantum homomorphic encryption
by: Li, Weikang, et al.
Published: (2024)
by: Li, Weikang, et al.
Published: (2024)
Enhancing variational quantum state diagonalization using reinforcement learning techniques
by: Kundu, Akash, et al.
Published: (2023)
by: Kundu, Akash, et al.
Published: (2023)
A quantum-classical reinforcement learning model to play Atari games
by: Freinberger, Dominik, et al.
Published: (2024)
by: Freinberger, Dominik, et al.
Published: (2024)
Quantum reinforcement learning in continuous action space
by: Wu, Shaojun, et al.
Published: (2020)
by: Wu, Shaojun, et al.
Published: (2020)
Beating the break-even point with autonomous quantum error correction
by: Li, Yi, et al.
Published: (2025)
by: Li, Yi, et al.
Published: (2025)
Restoring Heisenberg scaling in time via autonomous quantum error correction
by: Kwon, Hyukgun, et al.
Published: (2025)
by: Kwon, Hyukgun, et al.
Published: (2025)
Discovering emergent connections in quantum physics research via dynamic word embeddings
by: Frohnert, Felix, et al.
Published: (2024)
by: Frohnert, Felix, et al.
Published: (2024)
Noise tolerance via reinforcement: Learning a reinforced quantum dynamics
by: Ramezanpour, Abolfazl
Published: (2025)
by: Ramezanpour, Abolfazl
Published: (2025)
Discovering quantum phenomena with Interpretable Machine Learning
by: de Schoulepnikoff, Paulin, et al.
Published: (2026)
by: de Schoulepnikoff, Paulin, et al.
Published: (2026)
BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search
by: Ikhtiarudin, Azhar, et al.
Published: (2025)
by: Ikhtiarudin, Azhar, et al.
Published: (2025)
Dynamical simulation via quantum machine learning with provable generalization
by: Gibbs, Joe, et al.
Published: (2022)
by: Gibbs, Joe, et al.
Published: (2022)
Structured quantum learning via em algorithm for Boltzmann machines
by: Kimura, Takeshi, et al.
Published: (2025)
by: Kimura, Takeshi, et al.
Published: (2025)
Entanglement-induced provable and robust quantum learning advantages
by: Zhao, Haimeng, et al.
Published: (2024)
by: Zhao, Haimeng, et al.
Published: (2024)
Arbitrary quantum states preparation aided by deep reinforcement learning
by: Wang, Zhao-Wei, et al.
Published: (2024)
by: Wang, Zhao-Wei, et al.
Published: (2024)
Online learning of quantum processes
by: Raza, Asad, et al.
Published: (2024)
by: Raza, Asad, et al.
Published: (2024)
Provable and scalable quantum Gaussian processes for quantum learning
by: Jäger, Jonas, et al.
Published: (2026)
by: Jäger, Jonas, et al.
Published: (2026)
Reinforcement learning-based architecture search for quantum machine learning
by: Rapp, Frederic, et al.
Published: (2024)
by: Rapp, Frederic, et al.
Published: (2024)
On exploring the potential of quantum auto-encoder for learning quantum systems
by: Du, Yuxuan, et al.
Published: (2021)
by: Du, Yuxuan, et al.
Published: (2021)
Systematic construction of digital autonomous quantum error correction for state preparation and error suppression via conditional Gaussian operations
by: Anai, Keitaro, et al.
Published: (2026)
by: Anai, Keitaro, et al.
Published: (2026)
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials on organic and inorganic compounds
by: Laskaris, G., et al.
Published: (2026)
by: Laskaris, G., et al.
Published: (2026)
Online learning of a panoply of quantum objects
by: Bansal, Akshay, et al.
Published: (2024)
by: Bansal, Akshay, et al.
Published: (2024)
Is data-efficient learning feasible with quantum models?
by: Sakhnenko, Alona, et al.
Published: (2025)
by: Sakhnenko, Alona, et al.
Published: (2025)
Fourier series weight in quantum machine learning
by: Atchade-Adelomou, Parfait, et al.
Published: (2023)
by: Atchade-Adelomou, Parfait, et al.
Published: (2023)
Intrinsic preservation of plasticity in continual quantum learning
by: Chen, Yu-Qin, et al.
Published: (2025)
by: Chen, Yu-Qin, et al.
Published: (2025)
Opportunities and limitations of explaining quantum machine learning
by: Gil-Fuster, Elies, et al.
Published: (2024)
by: Gil-Fuster, Elies, et al.
Published: (2024)
Scalable quantum dynamics compilation via quantum machine learning
by: Zhang, Yuxuan, et al.
Published: (2024)
by: Zhang, Yuxuan, et al.
Published: (2024)
Digital-analog quantum learning on Rydberg atom arrays
by: Lu, Jonathan Z., et al.
Published: (2024)
by: Lu, Jonathan Z., et al.
Published: (2024)
Similar Items
-
Towards Heisenberg limit without critical slowing down via quantum reinforcement learning
by: Xu, Hang, et al.
Published: (2025) -
Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning
by: He, Austin Yubo, et al.
Published: (2025) -
Noise-Resilient Heisenberg-limited Quantum Sensing via Indefinite-Causal-Order Error Correction
by: Xu, Hang, et al.
Published: (2026) -
Learning to Restore Heisenberg Limit in Noisy Quantum Sensing via Quantum Digital Twin
by: Xu, Hang, et al.
Published: (2025) -
Quantum neural compressive sensing for ghost imaging
by: Zhai, Xinliang, et al.
Published: (2025)