HilbertCorps

Automated Concept Discovery of Quantum Error Correction Codes

Quantum computing holds tremendous promise for solving complex problems that are currently intractable using classical computers. However, the potential of quantum computers is limited by the presence of quantum errors that can degrade the fidelity of quantum computations. Quantum Error Correction (QEC) codes play a pivotal role in mitigating the effects of these errors, ensuring the reliability and scalability of quantum computation. Traditional methods of discovering new QEC codes are often time-consuming and rely heavily on intuition and trial-and-error. To fully unlock the potential of quantum computing, there is a pressing need for an automated approach to discover novel QEC codes efficiently and systematically. The project aims to revolutionize the field of quantum computing by developing a novel automated framework for discovering quantum error correction codes.

How to use:

>> python CD-QECC.py

Contributing:

Feel free to report issues during build or execution. We also welcome suggestions to improve the performance and features of this application.

Influenced by:

1. Evolving Quantum Circuits
2. Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning
3. Simultaneous Discovery of Quantum Error Correction Codes and Encoders with a Noise-Aware Reinforcement Learning Agent
4. Variational circuit compiler for quantum error correction
5. Automated Quantum Software Engineering: why? what? how?
6. Discovering Quantum Circuit Components with Program Synthesis
7. Automated Gadget Discovery in Science

Citation:

If you find the repository useful, please consider citing:

@misc{HilbertCorps,
  author={Sarkar, Aritra and Rajan, Deepika},
  title={HilbertCorps: Automated Concept Discovery of Quantum Error Correction Codes},
  howpublished={\url{[https://github.com/Advanced-Research-Centre/HilbertCorps](https://github.com/Advanced-Research-Centre/HilbertCorps)}},
  year={2024}
}