QUANTUM ERROR CORRECTION USING NEURAL NETWORKS

    公开(公告)号:US20250068954A1

    公开(公告)日:2025-02-27

    申请号:US18237323

    申请日:2023-08-23

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting errors in a computation performed by a quantum computer. In one aspect, a method comprises obtaining error correction data for each of a plurality of time steps during the computation; initializing a decoder state; and for each of a plurality of updating time steps, wherein each updating time step corresponds to one or more of the time steps: generating an intermediate representation; and processing a time step input through a Transformer neural network to update the decoder state for the updating time step. The method comprises generating a prediction of whether an error occurred in the computation from the decoder state for the last updating time step of the plurality of updating time steps.

    QUANTUM ERROR CORRECTION USING NEURAL NETWORKS

    公开(公告)号:US20250068953A1

    公开(公告)日:2025-02-27

    申请号:US18237204

    申请日:2023-08-23

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting errors in a computation performed by a quantum computer. In one aspect, a method comprises obtaining error correction data for each of a plurality of time steps during the computation; initializing a decoder state; and for each of the plurality of time steps: generating an intermediate representation; and processing a time step input through a Transformer neural network to update the decoder state for the time step. The method comprises generating a prediction of whether an error occurred in the computation from the decoder state for the last time step of the plurality of time steps.

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