IMPLEMENTING NET COHERENT ROTATIONS DURING DYNAMICAL DECOUPLING

    公开(公告)号:US20240420002A1

    公开(公告)日:2024-12-19

    申请号:US18336656

    申请日:2023-06-16

    Applicant: Google LLC

    Abstract: Methods, systems and apparatus for dynamically decoupling and performing a target unitary operation to a qubit. In one aspect, a method includes generating a control signal that implements a dynamical decoupling control sequence and applying the control signal to the qubit to dynamically decouple the qubit and perform the target unitary operation on the qubit. The target unitary operation includes a product of multiple sub-unitary operations. The dynamical decoupling control sequence includes a plurality of single qubit gates, where one or more of the single qubit gates comprise a single qubit gate that implements one or more of sub-unitary operations of the multiple sub-unitary operations.

    ENHANCED DECODING OF QUANTUM ERROR CORRECTION CODES WITH IN-PHASE AND QUADRATURE INFORMATION

    公开(公告)号:US20250005424A1

    公开(公告)日:2025-01-02

    申请号:US18758727

    申请日:2024-06-28

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus for enhanced decoding using in-phase and quadrature information. In one aspect, a method includes obtaining in-phase and quadrature values for multiple measurement operations in a quantum error correction code for a quantum computation; classifying measurement outcomes of the multiple measurement operations using respective in-phase and quadrature values; generating a detector graph of nodes and edges, wherein the detector graph labels detection events that occur in the classified measurement outcomes; assigning weights to the edges of the detector graph using posterior probability distributions of the classified measurement outcomes to generate a weighted detector graph; and executing a decoding process on the weighted detector graph to compute a decoding output of the decoding process, wherein the decoding output predicts an occurrence of errors in the quantum computation.

    PARALLEL CROSS ENTROPY BENCHMARKING

    公开(公告)号:US20220358392A1

    公开(公告)日:2022-11-10

    申请号:US17623194

    申请日:2019-10-25

    Applicant: Google LLC

    Abstract: Methods, systems and apparatus for benchmarking quantum computing hardware. In one aspect, a method includes defining an initial circuit configured to operate on an array of qubits, wherein the initial circuit comprises multiple instances of the two-qubit gate, wherein each instance of the two-qubit gate performs a same operation on a respective pair of neighboring qubits in the array; partitioning the initial circuit into multiple layers, wherein instances of the two-qubit gate in a respective layer can be implemented in parallel; for each of the multiple layers: constructing benchmarking circuits for the layer, wherein each benchmarking circuit for the layer comprises one or more cycles of quantum gates, each cycle comprising: the layer of instances of the two-qubit gate, and a plurality of single qubit gates; implementing the constructed benchmarking circuits to obtain experimental benchmarking data; and adjusting control parameters of the control model using the experimental benchmarking data.

    Parallel cross entropy benchmarking

    公开(公告)号:US12204993B2

    公开(公告)日:2025-01-21

    申请号:US17623194

    申请日:2019-10-25

    Applicant: Google LLC

    Abstract: Methods, systems and apparatus for benchmarking quantum computing hardware. In one aspect, a method includes defining an initial circuit configured to operate on an array of qubits, wherein the initial circuit comprises multiple instances of the two-qubit gate, wherein each instance of the two-qubit gate performs a same operation on a respective pair of neighboring qubits in the array; partitioning the initial circuit into multiple layers, wherein instances of the two-qubit gate in a respective layer can be implemented in parallel; for each of the multiple layers: constructing benchmarking circuits for the layer, wherein each benchmarking circuit for the layer comprises one or more cycles of quantum gates, each cycle comprising: the layer of instances of the two-qubit gate, and a plurality of single qubit gates; implementing the constructed benchmarking circuits to obtain experimental benchmarking data; and adjusting control parameters of the control model using the experimental benchmarking data.

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