Quantum error correction for the toric code using deep reinforcement learning
We implement a quantum error correction algorithm for bit-flip errors on the topological toric code using deep reinforcement learning. An action-value Q-function encodes the discounted value of moving a defect to a neighboring site on the square grid (the action) depending on the full set of defects...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2019-09-01
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Series: | Quantum |
Online Access: | https://quantum-journal.org/papers/q-2019-09-02-183/pdf/ |