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公开(公告)号：US20220269967A1
公开(公告)日：2022-08-25
申请号：US17744984
申请日：2022-05-16
Applicant: Huawei Technologies Co., Ltd.
Inventor： Dingshun Lv , Changsu Cao , Xusheng Xu , Manhong Yung
Abstract: This application relates to the quantum computer field, and provides a quantum circuit generation method and a related device. The method includes: determining a reference state of a target molecule and N excitations states corresponding to the reference state, where N is a positive integer greater than or equal to 1; determining M excitations states from the N excitations states based on an attribute of the reference state and attributes of the N excitations states, where M is a positive integer greater than or equal to 1 and less than or equal to N; and generating a first quantum circuit based on the M excitations states. The foregoing technical solution can reduce a quantity of excitations states used to generate the first quantum circuit, thereby reducing a depth of the quantum circuit, reducing a quantity of quantum gates and a quantity of layers, improving computation efficiency, and reducing resource consumption.
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公开(公告)号：US12067459B2
公开(公告)日：2024-08-20
申请号：US17744984
申请日：2022-05-16
Applicant: Huawei Technologies Co., Ltd.
Inventor： Dingshun Lv , Changsu Cao , Xusheng Xu , Manhong Yung
Abstract: A quantum circuit generation method includes determining a reference state of a target molecule and N excitations states corresponding to the reference state, where N is a positive integer greater than or equal to 1; determining M excitations states from the N excitations states based on an attribute of the reference state and attributes of the N excitations states, where M is a positive integer greater than or equal to 1 and less than or equal to N; and generating a first quantum circuit based on the M excitations states such as to improve computation efficiency and to reduce resource consumption.
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公开(公告)号：US20230419145A1
公开(公告)日：2023-12-28
申请号：US18462189
申请日：2023-09-06
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Abstract: The present disclosure relates to the field of quantum computing, and in particular to simulating quantum circuits with a quantum simulator. The disclosure presents a processor for a quantum simulator. The processor is configured to perform a local search algorithm to determine a plurality of contraction expressions suitable to contract a respective tensor network into a determined contracted tensor network. The processor is further configured to determine, for each contraction expression, a contraction cost for contracting the respective tensor network based on a cost function, and to select the contraction expression with the lowest contraction cost to contract each tensor network into the determined contracted tensor network. The cost function is based on three parameters, which respectively indicate a required memory amount, a computational complexity, and a number of read-write operations required for contracting the respective tensor network into the determined contracted tensor network.
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