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qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation

  • Published:2023-09-17 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
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Author:

van der Linde Stan1,de Kok Willem1,Bontekoe Tariq2,Feld Sebastian3

Affiliation:

1. The Netherlands Organisation for Applied Scientific Research (TNO),Applied Cryptography & Quantum Algorithms,The Hague,The Netherlands

2. Bernoulli Institute, University of Groningen,Faculty of Science and Engineering,Groningen,The Netherlands

3. QuTech, Delft University of Technology,Quantum & Computer Engineering,Delft,The Netherlands

Publisher

IEEE

Reference27 articles.

1. CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

2. OpenAI gym;brockman;ArXiv Preprint,2016

3. Machine Learning Optimization of Quantum Circuit Layouts

4. Using reinforcement learning to perform qubit routing in quantum compilers;pozzi;ArXiv Preprint,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing;ACM Transactions on Quantum Computing;2024-06-17

2. KetGPT – Dataset Augmentation of Quantum Circuits Using Transformers;Lecture Notes in Computer Science;2024

3. Cost Explosion for Efficient Reinforcement Learning Optimisation of Quantum Circuits;2023 IEEE International Conference on Rebooting Computing (ICRC);2023-12-05

4. Workshop Summary: Quantum Machine Learning;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17
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