Speaker
Description
A central challenge in large-scale quantum information processing is
managing noise in quantum systems. Quantum error correction (QEC)
addresses this by encoding quantum states into quantum error
correction codes (QECCs) before noise occurs and decoding them
afterward. Recently, QEC has attracted significant attention in
theoretical physics due to its potential connections to quantum chaos
and quantum gravity. As interest in QEC becomes broader, the decoding
problem --how to decode a general QECC-- is increasingly important. A
few were known so far, but we recently proposed two approaches: one
extends decoders for the standard class of QECCs based on stabilizers
[1], and the other generalizes the Yoshida-Kitaev decoder [2],
originally used to explore the black hole information paradox. In this
talk, we present an overview of these approaches.
1) "Decoding general error correcting codes and the role of
complementarity", YN, T. Matsuura, and M. Koashi, arXiv:2210.06661 (2022).
2) "Explicit decoders using fixed-point amplitude amplification based
on QSVT", T. Utsumi, and YN, arXiv:2405.06051 (2024).