Quantum RL

RL: Reinforcement Learning

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Overview

Quantum reinforcement learning explores both using quantum methods to build learning agents and using reinforcement learning to control quantum systems. Common approaches include parameterized quantum circuits as policy or value models, hybrid training with classical methods such as PPO and SAC, and quantum subroutines for estimation, search, or optimization. Applications range from quantum-state preparation, feedback control, and circuit synthesis to routing, finance, and network scheduling. The central open question is when these methods provide a genuine advantage: theoretical speedups can depend on environment structure, while empirical gains are uneven and must be weighed against noise, hardware costs, scalability, and strong classical baselines.

Latest papers

CardsList

34 papers2 papers in the last four weeks, down 60% on the four weeks before. 0.0% of all new papers.

  1. Energy Saving in 5G and Beyond Networks: A Quantum Reinforcement Learning Approach

    Oct 1, 2026Muhammad Usman, Nguyen Van Huynh, Marianna Lezzi +1Wireless CommunicationsQuantum RL

    Department of Engineering for Innovation, University of Salento, Italy · School of Computer Science and Informatics, University of Liverpool, United Kingdom

  2. Context-Aware Error Mitigation Orchestration for Hybrid Quantum Reinforcement Learning on NISQ Systems

    Oct 1, 2026Bisma Majid, Shabir Ahmed Sofi, Mir Mohammad YousufHybrid Quantum-Classical MLQuantum RL

    Department of Information Technology, National Institute of Technology Srinagar, Hazratbal, Srinagar, 190006, Jammu and Kashmir, India

  3. Quantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration

    Sep 23, 2026An N. H. Phan, Dang Van Huynh, Muhammad Usman +1Quantum RL

    Faculty of Computer Networks and Communications, University of Information Technology, Vietnam National University, Ho Chi Minh City, Quarter 34, Linh Xuan Ward, Ho Chi Minh City, Vietnam · Faculty of Information Technology, Monash University, Clayton, Victoria, Australia · Quantum Systems Team, CSIRO, Clayton, Victoria, Australia

  4. APGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study

    Sep 16, 2026Shabir Ahmad Sofi, Bisma Majid, Mir Mohammad YousufQuantum RLRL for Combinatorial Optimization

    Department of Information Technology NIT Srinagar J&K, India

  5. Towards Surrogate Based Dequantization of Quantum Reinforcement Learning

    Sep 14, 2026Pablo Rodriguez-Grasa, Sofiene Jerbi, Mikel Sanz +1Reinforcement LearningQ-Learning

    Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080 Bilbao, Spain · TECNALIA, Basque Research and Technology Alliance (BRTA), 48160 Derio, Spain · Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, 14195 Berlin, Germany +7

  6. Generative Replay Mitigates Sample Starvation in Quantum Architecture Search

    Sep 10, 2026Akash Kundu, Amit Kumar Jaiswal, Sebastian Feld +1Quantum Architecture SearchGenerative Replay

    Delft University of Technology, Delft, The Netherlands. · Quantum Computing Division, QuTech, Delft, The Netherlands. · Indian Institute of Technology (BHU), Varanasi, India. +1

  7. Do Quantum AIs Dream in Paths? Path-Integral Slow Thinking through Grover Interference

    Sep 5, 2026Xiansheng Cai, Xiu-Hao Deng, Kun ChenQuantum RLGeneralization in RL

    Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China · Shenzhen International Quantum Academy, Shenzhen 518048, China · Shenzhen Branch, Hefei National Laboratory, Shenzhen 518048, China

  8. Titans-QFWP: A Regime-Aware Hybrid Quantum Fast Weight Programmer for Portfolio Optimization

    Aug 29, 2026Ming-Kai Hung, Jun-Hao Chen, Yun-Cheng Tsai +1Portfolio OptimizationQuantitative Finance

    Dept. of Technology Application and Human Resource Development, National Taiwan Normal University, Taipei, Taiwan · Dept. of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan · PecuLab LLC, Seattle, WA, USA +1

  9. Continuous Quantum Feedback Control via Kraus-Parameterized Belief Reinforcement Learning

    Aug 16, 2026Priyanshi Singh, Krishna BhatiaFeedback ControlQuantum RL

    Department of Computer Science and Engineering SRM Institute of Science and Technology Chennai, India · QuantumAI Lab Fractal AI Research Mumbai, India

  10. Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model

    Aug 3, 2026Joao F. DoriguelloMarkov Decision ProcessesReinforcement Learning

    HUN-REN Alfr´ed R´enyi Institute of Mathematics, Budapest, Hungary

  11. DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search

    Jul 31, 2026Jiayang Niu, Yan Wang, Jie Li +4Quantum Architecture SearchWorld Models

    School of Computing Technologies, RMIT University · Quantum Systems, Data61, CSIRO · RMIT University

  12. Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions

    Jul 7, 2026Jian Xu, Delu Zeng, John Paisley +1PAC-Bayesian Generalization BoundsQuantum Machine Learning

    1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +1

  13. Quantum vs. Classical Machine Learning: A Unified Empirical Comparison

    Jul 1, 2026Chuanming Yu, Jiaming Liu, Zihao Ge +4Quantum Machine LearningQuantum RL

    Hebei Normal University, Shijiazhuang 050024, China · University of Luxembourg, Kirchberg L-1359, Luxembourg · Kyushu University, Fukuoka 819-0395, Japan

  14. Quantum Annealing Enhanced Reinforcement Learning for Accurate Remaining Useful Lifetime Prediction

    Jun 16, 2026Manoranjan Gandhudi, Arunkumar V., G. R. Anil +1RUL EstimationQuantum Annealing

    Central University of Karnataka, Kalaburagi, India · University College of Engineering, Anna University, Tiruchirappalli, Tamil Nadu, India · AIONOS India Pvt Ltd, Hyderabad, India +1

  15. Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing

    Jun 11, 2026Yash Vardhan Tomar, Dheeraj PeddireddyReinforcement LearningQuantum Circuit Compilation

    Purdue University West Lafayette, USA

  16. Mitigating Bias in Low-SNR Financial Reinforcement Learning via Quantum Representations

    Jun 9, 2026Zeyu Liu, Xuanzhi Feng, Sing Kwong Lai +6Quantitative FinanceQuantum Machine Learning

    The Hong Kong University of Science and Technology

  17. QnRL: Quantum-Native Reinforcement Learning

    Jun 6, 2026Alexander DeRieux, Walid SaadDistributional RLQuantum Generative Modeling

    Bradley Department of Electrical and Computer Engineering, Virginia Tech Institute for Advanced Computing, Alexandria, VA 22305 USA

  18. Adaptive Reinforcement Learning for Robust Open Quantum System Control: A Multi-Task Framework with Temporal Optimization

    May 26, 2026Haftu W. Fentaw, Steve Campbell, Simon CatonRL ControlMulti-Task RL

    School of Computer Science, University College Dublin, Belfield, Dublin 4, Dublin, Ireland. · Centre for Quantum Engineering, Science, and Technology, University College Dublin, Belfield, Dublin 4, Dublin, Ireland. · School of Physics, University College Dublin, Belfield, Dublin 4, Dublin, Ireland.

  19. Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing

    May 20, 2026Austin Braniff, Fengqi You, Yuhe TianQuantum Machine LearningQuantum RL

    Department of Chemical and Biomedical Engineering, West Virginia University · aDepartment of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, United States · R.F. Smith School of Chemical and Biomolecular Engineering, Cornell University +1

  20. Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation

    May 20, 2026Mohamed Khair Altrabulsi, Nouhaila Innan, Alberto Marchisio +2Robot NavigationRobotic RL

    1eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE

  21. Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation

    May 18, 2026Wenjing Xiao, Jiatai Yan, Chenglong Shi +5Semantic CommunicationQuantum Machine Learning

    School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China, and also with the Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi 530004, China · School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China, and also with the Pazhou Laboratory, Guangzhou 510330, China · Qatar Center for Quantum Computing, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar +1

  22. QuantFPFlow: Quantum Amplitude Estimation for Fokker--Planck Policy Optimisation in Continuous Reinforcement Learning

    May 14, 2026Abraham Itzhak WeinbergReinforcement LearningQuantum-Inspired ML

    AI-WEINBERG, AI Experts, Tel Aviv, Israel

  23. Quantum Advantage in Multi Agent Reinforcement Learning

    May 14, 2026Simranjeet Singh Dahia, Claudia SzaboDecentralized MARLQuantum RL

    Adelaide University, Australia

  24. Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis

    May 11, 2026Richie Yeung, Aleks Kissinger, Rob CornishEquivariant Neural NetworksQuantum Circuit Optimization

    Department of Computer Science, University of Oxford · Quantinuum · College of Computing and Data Science, Nanyang Technological University, Singapore

  25. Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits

    May 5, 2026Yu-Ting Lee, Samuel Yen-Chi Chen, Fu-Chieh ChangHierarchical RLQuantum Machine Learning

    Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan · Wells Fargo, New York, NY, USA · MediaTek Inc., Hsinchu, Taiwan

  26. Hybrid Quantum Reinforcement Learning with QAOA for Improved Vehicle Routing Optimization

    May 2, 2026T. Satyanarayana Murthy, B. Swathi Sowmya, Santhosh Voruganti +3Quantum Machine LearningCombinatorial Optimization

    Chaitanya Bharathi Institute of Technology Hyderabad, India

  27. QAROO: AI-Driven Online Task Offloading for Energy-Efficient and Sustainable MEC Networks

    Apr 28, 2026Yongtao Yao, Yao Yang, Haorui Shi +3Edge ComputingWireless Resource Allocation

  28. Replay-buffer engineering for noise-aware quantum circuit optimization

    Apr 23, 2026Akash Kundu, Sebastian FeldQuantum Architecture SearchReinforcement Learning

    Delft University of Technology, Delft, The Netherlands · Quantum Computing Division, QuTech, The Netherlands

  29. AlphaCNOT: Learning CNOT Minimization with Model-Based Planning

    Apr 15, 2026Jacopo Cossio, Daniele Lizzio Bosco, Riccardo Romanello +2Quantum Circuit OptimizationQuantum Circuit Synthesis

    University of Udine, Italy · University of Udine & University “Federico II” of Naples, Italy

  30. MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments

    Apr 13, 2026Abhishek Sawaika, Samuel Yen-Chi Chen, Udaya Parampalli +1Quantum RLDistributed RL

    Quantum Cloud Computing and Distributed Systems Lab (qCLOUDS), School of Computing and Information Systems, The University of Melbourne, Australia · Brookhaven National Laboratory, Upton, NY, USA