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...

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Bibliographic Details
Main Authors: Philip Andreasson, Joel Johansson, Simon Liljestrand, Mats Granath
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2019-09-01
Series:Quantum
Online Access:https://quantum-journal.org/papers/q-2019-09-02-183/pdf/