Freiburg 2019 – scientific programme

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FM: Fall Meeting

FM 42: Poster: Quantum Computation

FM 42.3: Poster

Tuesday, September 24, 2019, 16:30–18:30, Tents

Neural Decoders for the Toric Code — •Thomas Wagner, Hermann Kampermann, and Dagmar Bruß — Heinrich-Heine-Universität Düsseldorf, Institute for Theoretical Physics 3

Surface codes are a promising method of quantum error correction. However, their efficient decoding is still a problem. Recently, approaches based on machine learning techniques have been proposed by Torlai and Melko, as well as Varsamopoulos et al. A significant problem is that these methods require large amounts of training data even for relatively small code distances. The above-mentioned methods were tested on the rotated surface code which encodes one qubit. Here, we show they are viable even for the toric surface code which encodes two qubits. Furthermore, we explain how symmetries of the toric code can be exploited to reduce the amount of training data that is required to obtain good decoding results.