Freiburg 2019 – scientific programme

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FM: Fall Meeting

FM 42: Poster: Quantum Computation

FM 42.5: Poster

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

Neural Network Decoders for Topological Codes — •Kai Meinerz and Simon Trebst — Institute for Theoretical Physics, Cologne

Currently, topological error correction codes, especially the surface code, are the most achievable roadmap for large-scale fault-tolerant quantum computation. For the realization it is of importance to obtain fast and flexible decoding algorithms for these codes. Using neural networks, it is possible to learn the possibility distribution of errors in an error correcting code and in addition, these distributions can be traced back to the syndrome of the corresponding errors. We present various implementations of such an algorithm that can be applied to any stabilizer code. We demonstrate the decoders on the well-known two dimensional toric code.