Invention Grant
- Patent Title: Treating circuit-level noise using a local and global decoding scheme
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Application No.: US17937411Application Date: 2022-09-30
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Publication No.: US12057859B1Publication Date: 2024-08-06
- Inventor: Christopher Chamberland , Luis Goncalves , Prasahnt Sivarajah , Eric Christopher Peterson , Sebastian Johannes Grimberg
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- Agent Alexander A. Knapp
- Main IPC: H03M13/15
- IPC: H03M13/15 ; G06N10/60 ; G06N10/70 ; H03M13/00

Abstract:
Techniques for implementing a local neural network and global decoding scheme for quantum error correction of circuit-level noise within quantum surface codes such that the decoding schemes have fast decoding throughout and low latency times for quantum algorithms are disclosed. A local neural network decoder may be pre-trained via a supervised learning technique such that the local neural network decoder may be applied for error correction in the presence of circuit-level noise in arbitrarily sized surface codes in a local decoding stage. Prior to a global decoding stage, an intermediate stage may be used to remove vertical pairs of highlighted vertices within the matching graph, which may reduce a syndrome density within the matching graph to allow for faster decoding at the global decoding stage. Such an intermediate stage may include application of a syndrome collapse or vertical cleanup technique.
Information query
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