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| Format: | Preprint |
| Veröffentlicht: |
2026
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| Online-Zugang: | https://arxiv.org/abs/2601.08014 |
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| _version_ | 1866912819797032960 |
|---|---|
| author | Yanay, Yariv |
| author_facet | Yanay, Yariv |
| contents | Quantum error correction is one of the fundamental building blocks of digital quantum computation. The Quantum Lego formalism has introduced a systematic way of constructing new stabilizer codes out of basic lego-like building blocks, which in previous work we have used to generate improved error correcting codes via an automated reinforcement learning process. Here, we take this a step further and show the use of a hybrid classical-quantum algorithm. We combine classical reinforcement learning with calls to two commercial quantum devices to search for a stabilizer code to correct errors specific to the device, as well as an induced photon loss error. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_08014 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Learning Better Error Correction Codes with Hybrid Quantum-Assisted Machine Learning Yanay, Yariv Quantum Physics Quantum error correction is one of the fundamental building blocks of digital quantum computation. The Quantum Lego formalism has introduced a systematic way of constructing new stabilizer codes out of basic lego-like building blocks, which in previous work we have used to generate improved error correcting codes via an automated reinforcement learning process. Here, we take this a step further and show the use of a hybrid classical-quantum algorithm. We combine classical reinforcement learning with calls to two commercial quantum devices to search for a stabilizer code to correct errors specific to the device, as well as an induced photon loss error. |
| title | Learning Better Error Correction Codes with Hybrid Quantum-Assisted Machine Learning |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2601.08014 |