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Quantum Error Correction Fault Tolerance
Quantum Machine Learning
Variational Hybrid Quantum Algorithms
Learning Better Error Correction Codes with Hybrid Quantum-Assisted Machine Learning
arXiv
Authors: Yariv Yanay
Year
2026
Paper ID
3927
Status
Preprint
Abstract Read
~2 min
Abstract Words
102
Citations
N/A
Abstract
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.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Quantum error correction is one of the fundamental building blocks of digital quantum computation.
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