# Quantum reinforcement learning

Area: [Deep reinforcement learning methods](https://mlsanity.com/deeprl/index.md). HTML: https://mlsanity.com/deeprl/quantum-reinforcement-learning/

## Key facts

- Quantum reinforcement learning: 130 papers on arXiv since 2024 (data through 14 Oct 2026).
- 9 of its 130 mapped papers (7%) cite “Curriculum reinforcement learning for quantum architecture search under hardware errors” (2024, arXiv 2402.03500).
- 8 of its 130 mapped papers (6%) cite “Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning” (2024, arXiv 2405.13196).
- 2 new papers 30 Sep–14 Oct.

## Most cited here

- [Curriculum reinforcement learning for quantum architecture search under hardware errors](https://mlsanity.com/paper/2402.03500/) (2024), cited by 9 papers here
- [Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning](https://mlsanity.com/paper/2405.13196/) (2024), cited by 8 papers here
- [Quantum Advantage Actor-Critic for Reinforcement Learning](https://mlsanity.com/paper/2401.07043/) (2024), cited by 6 papers here
- [VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability](https://mlsanity.com/paper/2401.11555/) (2024), cited by 5 papers here
- [Reinforcement learning-assisted quantum architecture search for variational quantum algorithms](https://mlsanity.com/paper/2402.13754/) (2024), cited by 5 papers here
- [AlphaRouter: Quantum Circuit Routing with Reinforcement Learning and Tree Search](https://mlsanity.com/paper/2410.05115/) (2024), cited by 5 papers here
- [A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis](https://mlsanity.com/paper/2401.07054/) (2024), cited by 4 papers here
- [Trainability issues in quantum policy gradients](https://mlsanity.com/paper/2406.09614/) (2024), cited by 4 papers here
- [An Introduction to Quantum Reinforcement Learning (QRL)](https://mlsanity.com/paper/2409.05846/) (2024), cited by 4 papers here
- [Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware](https://mlsanity.com/paper/2411.00230/) (2024), cited by 4 papers here

## New (30 Sep–14 Oct)

- [Energy Saving in 5G and Beyond Networks: A Quantum Reinforcement Learning Approach](https://mlsanity.com/paper/2610.02403/) (2026-10-01)
- [Context-Aware Error Mitigation Orchestration for Hybrid Quantum Reinforcement Learning on NISQ Systems](https://mlsanity.com/paper/2610.01253/) (2026-10-01)