METHOD AND APPARATUS FOR OPTIMIZING BIAS ERROR-BASED QUANTUM ERROR CORRECTION CODE

    公开(公告)号:US20230419159A1

    公开(公告)日:2023-12-28

    申请号:US18253244

    申请日:2021-01-25

    CPC classification number: G06N10/70

    Abstract: The present disclosure relates to a quantum error correction code and, more particularly, to a method and apparatus for optimizing a quantum error correction code in biased error environment. The method for optimizing a quantum error correction code, according to an embodiment of the present disclosure, may comprise the steps of: estimating, on the basis of a physical error rate (pphy) and a bias degree (η), a logical error rate (Pfail) for each of one or more candidate lattice sizes; determining, on the basis of the estimated logical error rate (Pfail) and a target logical error rate (Pf,target), an optimal lattice size from among the one or more candidate lattice sizes; and arranging a Qubit on the basis of the optimal lattice size. Here, when the bias degree (η) exceeds 1, the one or more candidate lattice sizes may be defined in the form of a rectangular excluding a square.

    LOW-COMPLEXITY SYNDROM BASED DECODING APPARATUS AND METHOD THEREOF

    公开(公告)号:US20200083911A1

    公开(公告)日:2020-03-12

    申请号:US16233645

    申请日:2018-12-27

    Abstract: The present disclosure relates to a low-complexity syndrome based decoding apparatus and method and a low-complexity syndrome based decoding apparatus includes: a hard decision unit which performs hard decision on a current input value to output a hard decision vector; a syndrome calculator which performs a syndrome operation on the hard decision vector and determines an error type of the hard decision vector based on the syndrome operation result; and a decoder which selects a predetermined decoding algorithm in accordance with the error type to perform the decoding, and the error type includes at least one of no error, a single error, and a double error.

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