Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session M49: Decoders for Quantum Error Correction
8:00 AM–10:36 AM,
Wednesday, March 6, 2024
Room: 200G
Sponsoring
Unit:
DQI
Chair: Edward Chen, IBM Research
Abstract: M49.00007 : Decoding surface-code experiments with a recurrent neural network decoder*
9:36 AM–9:48 AM
Presenter:
Boris M Varbanov
(Delft University of Technology)
Authors:
Boris M Varbanov
(Delft University of Technology)
Marc Serra-Peralta
(Delft University of Technology)
David Byfield
(Riverlane)
Barbara M Terhal
(Delft University of Technology)
In this talk, we explore the performance of such a decoder on both simulated data and the data from the recent surface code experiment performed in [Google Quantum AI, Nature 614, 676–681 (2023)]. This decoder typically outperforms perfect-matching decoders as it can better deal with errors leading to multiple syndrome defects, such as Y errors. When applied to the experimental data, we show that this decoder achieves logical error rates approaching those obtained using an approximate maximum-likelihood decoder. We demonstrate the flexibility of such a decoder by providing the soft information available in the analog readout of transmon qubits and show that this can further decrease the logical error rate.
*B.M.V. and B.M.T. are supported by QuTech NWO funding 2020-2024 – Part I "Fundamental Research" with project number 601.QT.001-1. B.M.T and M.S.-P. thank the OpenSuperQPlus100 project (no. 101113946) of the EU Flagship on Quantum Technology (HORIZON-CL4-2022-QUANTUM-01-SGA) for support.
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