TRAINING QUANTUM EVOLUTIONS USING SUBLOGICAL CONTROLS

    公开(公告)号:US20170351967A1

    公开(公告)日:2017-12-07

    申请号:US15171778

    申请日:2016-06-02

    Applicant: Google Inc.

    CPC classification number: G06N99/002 B82Y10/00 G06N99/005

    Abstract: Methods, systems, and apparatus for training quantum evolutions using sub-logical controls. In one aspect, a method includes the actions of accessing quantum hardware, wherein the quantum hardware includes a quantum system comprising one or more multi-level quantum subsystems; one or more control devices that operate on the one or more multi-level quantum subsystems according to one or more respective control parameters that relate to a parameter of a physical environment in which the multi-level quantum subsystems are located; initializing the quantum system in an initial quantum state, wherein an initial set of control parameters form a parameterization that defines the initial quantum state; obtaining one or more quantum system observables and one or more target quantum states; and iteratively training until an occurrence of a completion event.

    FIDELITY ESTIMATION FOR QUANTUM COMPUTING SYSTEMS

    公开(公告)号:US20190156239A1

    公开(公告)日:2019-05-23

    申请号:US16301863

    申请日:2016-05-17

    Applicant: GOOGLE INC.

    Abstract: Methods and apparatus for estimating the fidelity of quantum hardware. In one aspect, a method includes accessing a set of quantum gates; sampling a subset of quantum gates from the set of quantum gates, wherein the subset of quantum gates defines a quantum circuit; applying the quantum circuit to a quantum system and performing measurements on the quantum system to determine output information of the quantum system; calculating output information of the quantum system based on application of the quantum circuit to the quantum system; and estimating a fidelity of the quantum circuit based on the determined output information and the calculated output information of the quantum system.

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