Backtesting Quantum Device Calibration
    1.
    发明公开

    公开(公告)号:US20240160976A1

    公开(公告)日:2024-05-16

    申请号:US17988418

    申请日:2022-11-16

    Applicant: Google LLC

    CPC classification number: G06N10/20

    Abstract: An example computer-implemented method for calibrating a qubit of a quantum device is disclosed. The example method includes obtaining a candidate calibration model for calibrating an operating characteristic of the qubit. The example method includes determining, using one or more quantum device models, a simulated quantum device performance metric associated with implementation of the candidate calibration model based on log data descriptive of observed qubit operating characteristics and associated observed quantum device performance metrics.

    Operating Quantum Devices Using a Temporal Metric

    公开(公告)号:US20230081120A1

    公开(公告)日:2023-03-16

    申请号:US17941365

    申请日:2022-09-09

    Applicant: Google LLC

    Abstract: Systems and methods for operating one or more qubits in a quantum computing system are provided. In some examples, a method can include obtaining past time data associated with a temporal metric of an operating parameter of a qubit in a quantum device. The method can include selecting an operating parameter value based at least in part on the past time data associated with the temporal metric of the operating parameter to reduce likelihood of occurrence of a time dependent defect. The time dependent defect can exhibit a time dependent behavior. The method can include operating the qubit in the quantum device at the operating parameter value.

    Denoising Qubit Calibration Data with Deep Learning

    公开(公告)号:US20230029092A1

    公开(公告)日:2023-01-26

    申请号:US17784158

    申请日:2020-12-04

    Applicant: Google LLC

    Abstract: Systems and methods for calibrating a qubit parameter for a qubit in a quantum computing system are provided. In one example, a method includes obtaining, by one or more computing devices, data associated with a set of one or more qubit parameters for a qubit in a quantum computing system. The method includes obtaining, by the one or more computing devices, calibration data associated with at least one qubit parameter in the set of one or more qubit parameters. The method includes determining, by the one or more computing devices, a value for the at least one qubit parameter based at least in part on the calibration data using a de-corrupting autoencoder.

    Multi-State Qubit Readout with Permutation Sequences

    公开(公告)号:US20240119326A1

    公开(公告)日:2024-04-11

    申请号:US18483758

    申请日:2023-10-10

    Applicant: Google LLC

    CPC classification number: G06N10/00 B82Y10/00 G06F15/16

    Abstract: Systems and methods for measuring quantum states of qubits with more than two levels are provided. A method can include, for a plurality of shuffling sequences, applying, by a quantum computer, one or more quantum gates to the one or more qubits to execute a quantum algorithm; applying, by the quantum computer, a shuffling sequence to the one or more qubits; and measuring, using a readout apparatus, the state of the one or more qubits to determine a readout state. The method can further include determining, by a classical computer or the quantum computer, an average occupation for one or more of the quantum states of the one or more qubits using the readout states for each of the shuffling sequences. The readout states can correspond to a state in a subset of the quantum states of the one or more qubits.

    Multi-state qubit readout with permutation sequences

    公开(公告)号:US11816535B1

    公开(公告)日:2023-11-14

    申请号:US17109448

    申请日:2020-12-02

    Applicant: Google LLC

    CPC classification number: G06N10/00 B82Y10/00 G06F15/16

    Abstract: Systems and methods for measuring quantum states of qubits with more than two levels are provided. A method can include, for a plurality of shuffling sequences, applying, by a quantum computer, one or more quantum gates to the one or more qubits to execute a quantum algorithm; applying, by the quantum computer, a shuffling sequence to the one or more qubits; and measuring, using a readout apparatus, the state of the one or more qubits to determine a readout state. The method can further include determining, by a classical computer or the quantum computer, an average occupation for one or more of the quantum states of the one or more qubits using the readout states for each of the shuffling sequences. The readout states can correspond to a state in a subset of the quantum states of the one or more qubits.

    Multi-state qubit readout with permutation sequences

    公开(公告)号:US12182660B2

    公开(公告)日:2024-12-31

    申请号:US18483758

    申请日:2023-10-10

    Applicant: Google LLC

    Abstract: Systems and methods for measuring quantum states of qubits with more than two levels are provided. A method can include, for a plurality of shuffling sequences, applying, by a quantum computer, one or more quantum gates to the one or more qubits to execute a quantum algorithm; applying, by the quantum computer, a shuffling sequence to the one or more qubits; and measuring, using a readout apparatus, the state of the one or more qubits to determine a readout state. The method can further include determining, by a classical computer or the quantum computer, an average occupation for one or more of the quantum states of the one or more qubits using the readout states for each of the shuffling sequences. The readout states can correspond to a state in a subset of the quantum states of the one or more qubits.

    Operating quantum devices using a temporal metric

    公开(公告)号:US12130694B2

    公开(公告)日:2024-10-29

    申请号:US17941365

    申请日:2022-09-09

    Applicant: Google LLC

    CPC classification number: G06F11/0751 G06F11/0721 G06N10/60

    Abstract: Systems and methods for operating one or more qubits in a quantum computing system are provided. In some examples, a method can include obtaining past time data associated with a temporal metric of an operating parameter of a qubit in a quantum device. The method can include selecting an operating parameter value based at least in part on the past time data associated with the temporal metric of the operating parameter to reduce likelihood of occurrence of a time dependent defect. The time dependent defect can exhibit a time dependent behavior. The method can include operating the qubit in the quantum device at the operating parameter value.

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