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    Software-defined quantum computer
    3.
    发明授权
    Software-defined quantum computer 有权

    公开(公告)号：US12165007B2

    公开(公告)日：2024-12-10

    申请号：US17587957

    申请日：2022-01-28

    Applicant: Duke University ,  IonQ, Inc.

    Inventor： Jungsang Kim ,  David Moehring ,  Omar Shehab ,  Yunseong Nam ,  Jonathan Mizrahi ,  Stewart Allen

    IPC: G06N10/00 ,  G06F8/41 ,  G06F30/00

    Abstract: The disclosure describes various aspects of a software-defined quantum computer. For example, a software-defined quantum computing architecture for allocating qubits is described that includes an application programming interface (API); a quantum operating system (OS) on which the API executes, with the quantum OS including a resource manager and a switch; and a plurality of quantum cores connected by the switch of the quantum resource OS. Moreover, the resource manager of the quantum resource OS determines an allocation of a plurality of qubits in the plurality of quantum cores.

    Noise reduced circuits for superconducting quantum computers
    7.
    发明授权
    Noise reduced circuits for superconducting quantum computers 有权

    公开(公告)号：US12086203B2

    公开(公告)日：2024-09-10

    申请号：US17981939

    申请日：2022-11-07

    Applicant: IONQ, INC.

    Inventor： Omar Shehab ,  Isaac Hyun Kim

    IPC: G06F17/11 ,  G06N10/00 ,  H10N60/12

    CPC classification number: G06F17/11 ,  G06N10/00 ,  H10N60/12

    Abstract: Embodiments described herein are generally related to a method and a system for performing a computation using a hybrid quantum-classical computing system, and, more specifically, to providing an approximate solution to an optimization problem using a hybrid quantum-classical computing system that includes a group of trapped ions. A hybrid quantum-classical computing system that is able to provide a solution to a combinatorial optimization problem may include a classical computer, a system controller, and a quantum processor. The methods and systems described herein include an efficient and noise resilient method for constructing trial states in the quantum processor in solving a problem in a hybrid quantum-classical computing system, which provides improvement over the conventional method for computation in a hybrid quantum-classical computing system.

    Noise reduced circuits for trapped-ion quantum computers
    8.
    发明授权
    Noise reduced circuits for trapped-ion quantum computers 有权

    公开(公告)号：US11455563B2

    公开(公告)日：2022-09-27

    申请号：US16578142

    申请日：2019-09-20

    Applicant: IONQ, INC.

    Inventor： Omar Shehab ,  Isaac Hyun Kim

    IPC: G06N10/00 ,  G06E3/00

    Abstract: Embodiments described herein are generally related to a method and a system for performing a computation using a hybrid quantum-classical computing system, and, more specifically, to providing an approximate solution to an optimization problem using a hybrid quantum-classical computing system that includes a group of trapped ions. A hybrid quantum-classical computing system that is able to provide a solution to a combinatorial optimization problem may include a classical computer, a system controller, and a quantum processor. The methods and systems described herein include an efficient and noise resilient method for constructing trial states in the quantum processor in solving a problem in a hybrid quantum-classical computing system, which provides improvement over the conventional method for computation in a hybrid quantum-classical computing system.

    Quantum computer simulator characterization
    9.
    发明授权
    Quantum computer simulator characterization 有权

    公开(公告)号：US11367010B2

    公开(公告)日：2022-06-21

    申请号：US16401585

    申请日：2019-05-02

    Applicant: IonQ, Inc.

    Inventor： Andrew Maps Ducore ,  Yunseong Nam ,  Omar Shehab ,  Matthew Joseph Keesan ,  Stewart O. Allen

    IPC: G06N10/00 ,  G06F8/41 ,  G06F30/20

    Abstract: The disclosure describes various aspects of quantum computer simulators. In an aspect, a method for characterizing a quantum computer simulator includes identifying simulator processes supported by the quantum computer simulator, generating, for each simulator process, characteristic curves for different gates or quantum operations, the characteristic curves including information for predicting the time it takes to simulate each of the gates or quantum operations in a respective simulator process, and providing the characteristic curves to select one of the simulator processes to simulate a circuit, quantum program, or quantum algorithm that uses at least some of the gates or quantum operations. In another aspect, a method for optimizing simulations in a quantum computer simulator is described where a simulator process is selected for simulation of a circuit, quantum program, or quantum algorithm based on characteristic curves that predict a time it takes for the simulation to be carried out.

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