ION CHAIN MOTIONAL MODE MEASUREMENT BY FAST SCAN WITH MAXIMUM WEIGHT MATCHING METHOD

    公开(公告)号:US20230419147A1

    公开(公告)日:2023-12-28

    申请号:US17982879

    申请日:2022-11-08

    Applicant: IONQ, INC.

    CPC classification number: G06N10/40 G06F15/82

    Abstract: A method of performing a computational process using a quantum computer includes measuring a coupling strength of each trapped ion in an ion chain and each motional mode of the ion chain, wherein the trapped ions comprises first trapped ions that are addressable by laser beams, and second trapped ions that are not addressable by laser beams, computing a first map of the first trapped ions to the motional modes, wherein the motional mode comprises first motional modes that are allocated by the first map and second motional modes that are unallocated by the first map, measuring frequencies of the first motional modes, computing a second map of the first trapped ions to the second motional modes, measuring frequencies of the second motional modes, and outputting the measured frequencies of the motional modes, to be used for computing a pulse to be applied to the ion chain.

    NOISE REDUCED CIRCUITS FOR TRAPPED-ION QUANTUM COMPUTERS

    公开(公告)号:US20230037180A1

    公开(公告)日:2023-02-02

    申请号:US17881240

    申请日:2022-08-04

    Applicant: IONQ, INC.

    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 SUPERCONDUCTING QUANTUM COMPUTERS

    公开(公告)号:US20230085177A1

    公开(公告)日:2023-03-16

    申请号:US17981939

    申请日:2022-11-07

    Applicant: IONQ, INC.

    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

    公开(公告)号:US20200372390A1

    公开(公告)日:2020-11-26

    申请号:US16578142

    申请日:2019-09-20

    Applicant: IONQ, INC.

    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.

    SOFTWARE-DEFINED QUANTUM COMPUTER

    公开(公告)号:US20220156628A1

    公开(公告)日:2022-05-19

    申请号:US17589231

    申请日:2022-01-31

    Abstract: The disclosure describes various aspects of a software-defined quantum computer. For example, a method is described for generating an intermediate representation of source code for a software-defined quantum computer. The method includes performing a lexical analysis on a high-level intermediate representation of a quantum programming language; performing semantic analysis on an output of the lexical analysis; and generating a mid-level intermediate representation of the quantum programming language based on an output of the semantic analysis.

    NOISE REDUCED CIRCUITS FOR SUPERCONDUCTING QUANTUM COMPUTERS

    公开(公告)号:US20200372094A1

    公开(公告)日:2020-11-26

    申请号:US16867332

    申请日:2020-05-05

    Applicant: IONQ, INC.

    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
    7.
    发明申请

    公开(公告)号:US20190340532A1

    公开(公告)日:2019-11-07

    申请号:US16401585

    申请日:2019-05-02

    Applicant: IonQ, Inc.

    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.

    SOFTWARE-DEFINED QUANTUM COMPUTER

    公开(公告)号:US20220156627A1

    公开(公告)日:2022-05-19

    申请号:US17587957

    申请日:2022-01-28

    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.

    QUANTUM APPROXIMATE CHAOS OPTIMIZATION FOR USE IN A HYBRID COMPUTING SYSTEM

    公开(公告)号:US20210056455A1

    公开(公告)日:2021-02-25

    申请号:US16993024

    申请日:2020-08-13

    Applicant: IONQ, INC.

    Inventor: Omar SHEHAB

    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 a combinatorial 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 method for an optimization routine executed by the classical computer in solving a problem in a hybrid quantum-classical computing system, which can provide improvement over the conventional method for an optimization by conventional stochastic optimization methods.

    SOFTWARE-DEFINED QUANTUM COMPUTER
    10.
    发明申请

    公开(公告)号:US20190164076A1

    公开(公告)日:2019-05-30

    申请号:US16199993

    申请日:2018-11-26

    Applicant: IonQ, Inc.

    Abstract: The disclosure describes various aspects of a software-defined quantum computer. For example, a software-defined quantum computer and an expandable/modular quantum computer are described. Also described are at least a software-defined quantum architecture, a resource manager workflow, a quantum compiler architecture, hardware description language configuration, levels of application programming interface (API) access points, and exception handling in software-defined quantum architecture.

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