UNIVERSAL CONTROL FOR IMPLEMENTING QUANTUM GATES

    公开(公告)号:US20220012622A1

    公开(公告)日:2022-01-13

    申请号:US17339276

    申请日:2021-06-04

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus for implementing a unitary quantum gate on one or more qubits. In one aspect, a method includes the actions designing a control pulse for the unitary quantum gate, comprising: defining a universal quantum control cost function, wherein the control cost function comprises a qubit leakage penalty term representing i) coherent qubit leakage, and ii) incoherent qubit leakage across all frequency components during a time dependent Hamiltonian evolution that realizes the unitary quantum gate; adjusting parameters of the time dependent Hamiltonian evolution to vary a control cost according to the control cost function such that leakage errors are reduced; generating the control pulse using the adjusted parameters; and applying the control pulse to the one or more qubits to implement the unitary quantum gate.

    UNIVERSAL CONTROL FOR IMPLEMENTING QUANTUM GATES

    公开(公告)号:US20250045613A1

    公开(公告)日:2025-02-06

    申请号:US18923184

    申请日:2024-10-22

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus for implementing a unitary quantum gate on one or more qubits. In one aspect, a method includes the actions designing a control pulse for the unitary quantum gate, comprising: defining a universal quantum control cost function, wherein the control cost function comprises a qubit leakage penalty term representing i) coherent qubit leakage, and ii) incoherent qubit leakage across all frequency components during a time dependent Hamiltonian evolution that realizes the unitary quantum gate; adjusting parameters of the time dependent Hamiltonian evolution to vary a control cost according to the control cost function such that leakage errors are reduced; generating the control pulse using the adjusted parameters; and applying the control pulse to the one or more qubits to implement the unitary quantum gate.

    Universal control for implementing quantum gates

    公开(公告)号:US11657315B2

    公开(公告)日:2023-05-23

    申请号:US17339276

    申请日:2021-06-04

    Applicant: Google LLC

    CPC classification number: G06N10/00 H03K3/38

    Abstract: Methods, systems, and apparatus for implementing a unitary quantum gate on one or more qubits. In one aspect, a method includes the actions designing a control pulse for the unitary quantum gate, comprising: defining a universal quantum control cost function, wherein the control cost function comprises a qubit leakage penalty term representing i) coherent qubit leakage, and ii) incoherent qubit leakage across all frequency components during a time dependent Hamiltonian evolution that realizes the unitary quantum gate; adjusting parameters of the time dependent Hamiltonian evolution to vary a control cost according to the control cost function such that leakage errors are reduced; generating the control pulse using the adjusted parameters; and applying the control pulse to the one or more qubits to implement the unitary quantum gate.

    Characterization of time-correlated quantum errors through entanglement

    公开(公告)号:US12182665B2

    公开(公告)日:2024-12-31

    申请号:US17928349

    申请日:2021-05-27

    Applicant: Google LLC

    Abstract: Errors that affect a quantum computer can be efficiently measured and characterized by placing the quantum computer in a highly-entangled state such as a Greenberger-Horne-Zeilinger (GHZ) state, accumulating quantum errors in the highly entangled state, and then measuring the accumulated errors. In some approaches, the error characterization includes measuring parity oscillations of the GHZ state and fitting a quantum error model to a power spectrum of the parity oscillations. The fitted quantum error model can be used to select a suitable fault-tolerant error correction scheme for the quantum computer given its environmental noise.

    Three qubit entangling gate through two-local hamiltonian control

    公开(公告)号:US11809957B2

    公开(公告)日:2023-11-07

    申请号:US16981606

    申请日:2019-01-31

    Applicant: Google LLC

    CPC classification number: G06N10/00 H10N60/12

    Abstract: Methods, systems and apparatus for implementing a quantum gate on a quantum system comprising a second qubit coupled to a first qubit and a third qubit. In one aspect, a method includes evolving a state of the quantum system for a predetermined time, wherein during evolving: the ground and first excited state of the second qubit are separated by a first energy gap ω; the first and second excited state of the second qubit are separated by a second energy gap equal to a first multiple of ω minus qubit anharmoniticity−; the ground and first excited state of the first qubit and third qubit are separated by a third energy gap equal to ω−; and the first and second excited state of the first qubit and third qubit are separated by a fourth energy gap equal to the first multiple of the ω minus a second multiple of .

    Composite Quantum Gate Calibration

    公开(公告)号:US20210304054A1

    公开(公告)日:2021-09-30

    申请号:US17218690

    申请日:2021-03-31

    Applicant: Google LLC

    Abstract: Systems and methods for composite quantum gate calibration for a quantum computing system are provided. In some implementations, a method includes accessing a unitary gate model describing a composite quantum gate. The unitary gate model includes a plurality of gate parameters. The method includes implementing the composite quantum gate for a plurality of gate cycles on the quantum system to amplify the plurality of gate parameters. The method includes obtaining a measurement of a state of the quantum system after implementing the composite quantum gate for the plurality of gate cycles. The method includes determining at least one of the plurality of gate parameters based at least in part on the measurement of the state of the quantum system. The method includes calibrating the composite quantum gate for the quantum computing system based at least in part on the plurality of gate parameters.

    Three qubit entangling gate through two-local Hamiltonian control

    公开(公告)号:US12159196B2

    公开(公告)日:2024-12-03

    申请号:US18481109

    申请日:2023-10-04

    Applicant: Google LLC

    Abstract: Methods, systems and apparatus for implementing a quantum gate on a quantum system comprising a second qubit coupled to a first qubit and a third qubit. In one aspect, a method includes evolving a state of the quantum system for a predetermined time, wherein during evolving: the ground and first excited state of the second qubit are separated by a first energy gap ω; the first and second excited state of the second qubit are separated by a second energy gap equal to a first multiple of ω minus qubit anharmoniticity η; the ground and first excited state of the first qubit and third qubit are separated by a third energy gap equal to ω−η; and the first and second excited state of the first qubit and third qubit are separated by a fourth energy gap equal to the first multiple of the ω minus a second multiple of η.

    QUANTUM COMPUTATION THROUGH REINFORCEMENT LEARNING

    公开(公告)号:US20240394530A1

    公开(公告)日:2024-11-28

    申请号:US18428284

    申请日:2024-01-31

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus for designing a quantum control trajectory for implementing a quantum gate using quantum hardware. In one aspect, a method includes the actions of representing the quantum gate as a sequence of control actions and applying a reinforcement learning model to iteratively adjust each control action in the sequence of control actions to determine a quantum control trajectory that implements the quantum gate and reduces leakage, infidelity and total runtime of the quantum gate to improve its robustness of performance against control noise during the iterative adjustments.

    QUANTUM GENERATIVE ADVERSARIAL NETWORKS WITH PROVABLE CONVERGENCE

    公开(公告)号:US20240303502A1

    公开(公告)日:2024-09-12

    申请号:US18281497

    申请日:2022-03-10

    Applicant: Google LLC

    CPC classification number: G06N3/094 G06N10/60

    Abstract: Methods and apparatus for learning a target quantum state. In one aspect, a method for training a quantum generative adversarial network (QGAN) to learn a target quantum state includes iteratively adjusting parameters of the QGAN until a value of a QGAN loss function converges, wherein each iteration comprises: performing an entangling operation on a discriminator network input of a discriminator network in the QGAN to measure a fidelity of the discriminator network input, wherein the discriminator network input comprises the target quantum state and a first quantum state output from a generator network in the QGAN, wherein the first quantum state approximates the target quantum state; and performing a minimax optimization of the QGAN loss function to update the QGAN parameters, wherein the QGAN loss function is dependent on the measured fidelity of the discriminator network input.

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