Analog processor comprising quantum devices

    公开(公告)号:US11526463B2

    公开(公告)日:2022-12-13

    申请号:US17355458

    申请日:2021-06-23

    Abstract: Analog processors for solving various computational problems are provided. Such analog processors comprise a plurality of quantum devices, arranged in a lattice, together with a plurality of coupling devices. The analog processors further comprise bias control systems each configured to apply a local effective bias on a corresponding quantum device. A set of coupling devices in the plurality of coupling devices is configured to couple nearest-neighbor quantum devices in the lattice. Another set of coupling devices is configured to couple next-nearest neighbor quantum devices. The analog processors further comprise a plurality of coupling control systems each configured to tune the coupling value of a corresponding coupling device in the plurality of coupling devices to a coupling. Such quantum processors further comprise a set of readout devices each configured to measure the information from a corresponding quantum device in the plurality of quantum devices.

    ANALOG PROCESSOR COMPRISING QUANTUM DEVICES
    2.
    发明申请

    公开(公告)号:US20200293486A1

    公开(公告)日:2020-09-17

    申请号:US16859672

    申请日:2020-04-27

    Abstract: Analog processors for solving various computational problems are provided. Such analog processors comprise a plurality of quantum devices, arranged in a lattice, together with a plurality of coupling devices. The analog processors further comprise bias control systems each configured to apply a local effective bias on a corresponding quantum device. A set of coupling devices in the plurality of coupling devices is configured to couple nearest-neighbor quantum devices in the lattice. Another set of coupling devices is configured to couple next-nearest neighbor quantum devices. The analog processors further comprise a plurality of coupling control systems each configured to tune the coupling value of a corresponding coupling device in the plurality of coupling devices to a coupling. Such quantum processors further comprise a set of readout devices each configured to measure the information from a corresponding quantum device in the plurality of quantum devices.

    ANALOG PROCESSOR COMPRISING QUANTUM DEVICES
    3.
    发明申请

    公开(公告)号:US20190324941A1

    公开(公告)日:2019-10-24

    申请号:US16421211

    申请日:2019-05-23

    Abstract: Analog processors for solving various computational problems are provided. Such analog processors comprise a plurality of quantum devices, arranged in a lattice, together with a plurality of coupling devices. The analog processors further comprise bias control systems each configured to apply a local effective bias on a corresponding quantum device. A set of coupling devices in the plurality of coupling devices is configured to couple nearest-neighbor quantum devices in the lattice. Another set of coupling devices is configured to couple next-nearest neighbor quantum devices. The analog processors further comprise a plurality of coupling control systems each configured to tune the coupling value of a corresponding coupling device in the plurality of coupling devices to a coupling. Such quantum processors further comprise a set of readout devices each configured to measure the information from a corresponding quantum device in the plurality of quantum devices.

    SYSTEMS AND METHODS FOR SOLVING COMPUTATIONAL PROBLEMS

    公开(公告)号:US20170177751A1

    公开(公告)日:2017-06-22

    申请号:US15419083

    申请日:2017-01-30

    CPC classification number: G06F17/505 B82Y10/00 G06F17/11 G06N99/002

    Abstract: Solving computational problems may include generating a logic circuit representation of the computational problem, encoding the logic circuit representation as a discrete optimization problem, and solving the discrete optimization problem using a quantum processor. Output(s) of the logic circuit representation may be clamped such that the solving involves effectively executing the logic circuit representation in reverse to determine input(s) that corresponds to the clamped output(s). The representation may be of a Boolean logic circuit. The discrete optimization problem may be composed of a set of miniature optimization problems, where each miniature optimization problem encodes a respective logic gate from the logic circuit representation. A quantum processor may include multiple sets of qubits, each set coupled to respective annealing signal lines such that dynamic evolution of each set of qubits is controlled independently from the dynamic evolutions of the other sets of qubits.

    Systems and methods for solving computational problems

    公开(公告)号:US09665539B1

    公开(公告)日:2017-05-30

    申请号:US15419083

    申请日:2017-01-30

    CPC classification number: G06F17/505 B82Y10/00 G06F17/11 G06N99/002

    Abstract: Solving computational problems may include generating a logic circuit representation of the computational problem, encoding the logic circuit representation as a discrete optimization problem, and solving the discrete optimization problem using a quantum processor. Output(s) of the logic circuit representation may be clamped such that the solving involves effectively executing the logic circuit representation in reverse to determine input(s) that corresponds to the clamped output(s). The representation may be of a Boolean logic circuit. The discrete optimization problem may be composed of a set of miniature optimization problems, where each miniature optimization problem encodes a respective logic gate from the logic circuit representation. A quantum processor may include multiple sets of qubits, each set coupled to respective annealing signal lines such that dynamic evolution of each set of qubits is controlled independently from the dynamic evolutions of the other sets of qubits.

    Systems and methods for solving computational problems
    7.
    发明授权
    Systems and methods for solving computational problems 有权
    用于解决计算问题的系统和方法

    公开(公告)号:US09594726B2

    公开(公告)日:2017-03-14

    申请号:US15190608

    申请日:2016-06-23

    CPC classification number: G06F17/505 B82Y10/00 G06F17/11 G06N99/002

    Abstract: Solving computational problems may include generating a logic circuit representation of the computational problem, encoding the logic circuit representation as a discrete optimization problem, and solving the discrete optimization problem using a quantum processor. Output(s) of the logic circuit representation may be clamped such that the solving involves effectively executing the logic circuit representation in reverse to determine input(s) that corresponds to the clamped output(s). The representation may be of a Boolean logic circuit. The discrete optimization problem may be composed of a set of miniature optimization problems, where each miniature optimization problem encodes a respective logic gate from the logic circuit representation. A quantum processor may include multiple sets of qubits, each set coupled to respective annealing signal lines such that dynamic evolution of each set of qubits is controlled independently from the dynamic evolutions of the other sets of qubits.

    Abstract translation: 解决计算问题可能包括生成计算问题的逻辑电路表示,将逻辑电路表示编码为离散优化问题,以及使用量子处理器来解决离散优化问题。 可以钳位逻辑电路表示的输出,使得解决方案涉及有效地执行逻辑电路表示,以确定对应于被钳位的输出的输入。 该表示可以是布尔逻辑电路。 离散优化问题可以由一组微型优化问题组成,其中每个微型优化问题从逻辑电路表示编码相应的逻辑门。 量子处理器可以包括多组量子位,每组量子位耦合到相应的退火信号线,使得每组量子位的动态演化独立于其他量子位集合的动态演化被控制。

    SYSTEMS AND METHODS FOR SOLVING COMPUTATIONAL PROBLEMS
    8.
    发明申请
    SYSTEMS AND METHODS FOR SOLVING COMPUTATIONAL PROBLEMS 审中-公开
    用于解决计算问题的系统和方法

    公开(公告)号:US20160371227A1

    公开(公告)日:2016-12-22

    申请号:US15190608

    申请日:2016-06-23

    CPC classification number: G06F17/505 B82Y10/00 G06F17/11 G06N99/002

    Abstract: Solving computational problems may include generating a logic circuit representation of the computational problem, encoding the logic circuit representation as a discrete optimization problem, and solving the discrete optimization problem using a quantum processor. Output(s) of the logic circuit representation may be clamped such that the solving involves effectively executing the logic circuit representation in reverse to determine input(s) that corresponds to the clamped output(s). The representation may be of a Boolean logic circuit. The discrete optimization problem may be composed of a set of miniature optimization problems, where each miniature optimization problem encodes a respective logic gate from the logic circuit representation. A quantum processor may include multiple sets of qubits, each set coupled to respective annealing signal lines such that dynamic evolution of each set of qubits is controlled independently from the dynamic evolutions of the other sets of qubits.

    Abstract translation: 解决计算问题可能包括生成计算问题的逻辑电路表示,将逻辑电路表示编码为离散优化问题,以及使用量子处理器来解决离散优化问题。 可以钳位逻辑电路表示的输出,使得解决方案涉及有效执行逻辑电路表示,以确定对应于被钳位的输出的输入。 该表示可以是布尔逻辑电路。 离散优化问题可以由一组微型优化问题组成,其中每个微型优化问题从逻辑电路表示编码相应的逻辑门。 量子处理器可以包括多组量子位,每组量子位耦合到相应的退火信号线,使得每组量子位的动态演化独立于其他量子位集合的动态演化被控制。

    SYSTEMS AND METHODS FOR SOLVING COMPUTATIONAL PROBLEMS
    9.
    发明申请
    SYSTEMS AND METHODS FOR SOLVING COMPUTATIONAL PROBLEMS 有权
    用于解决计算问题的系统和方法

    公开(公告)号:US20140245249A1

    公开(公告)日:2014-08-28

    申请号:US14186895

    申请日:2014-02-21

    CPC classification number: G06F17/505 B82Y10/00 G06F17/11 G06N99/002

    Abstract: Solving computational problems may include generating a logic circuit representation of the computational problem, encoding the logic circuit representation as a discrete optimization problem, and solving the discrete optimization problem using a quantum processor. Output(s) of the logic circuit representation may be clamped such that the solving involves effectively executing the logic circuit representation in reverse to determine input(s) that corresponds to the clamped output(s). The representation may be of a Boolean logic circuit. The discrete optimization problem may be composed of a set of miniature optimization problems, where each miniature optimization problem encodes a respective logic gate from the logic circuit representation. A quantum processor may include multiple sets of qubits, each set coupled to respective annealing signal lines such that dynamic evolution of each set of qubits is controlled independently from the dynamic evolutions of the other sets of qubits.

    Abstract translation: 解决计算问题可能包括生成计算问题的逻辑电路表示,将逻辑电路表示编码为离散优化问题,以及使用量子处理器求解离散优化问题。 可以钳位逻辑电路表示的输出,使得解决方案涉及有效地执行逻辑电路表示,以确定对应于被钳位的输出的输入。 该表示可以是布尔逻辑电路。 离散优化问题可以由一组微型优化问题组成,其中每个微型优化问题从逻辑电路表示编码相应的逻辑门。 量子处理器可以包括多组量子位,每组量子位耦合到相应的退火信号线,使得每组量子位的动态演化独立于其他量子位集合的动态演化被控制。

    SYSTEMS AND METHODS FOR SOLVING COMPUTATIONAL PROBLEMS
    10.
    发明申请
    SYSTEMS AND METHODS FOR SOLVING COMPUTATIONAL PROBLEMS 有权
    用于解决计算问题的系统和方法

    公开(公告)号:US20130144925A1

    公开(公告)日:2013-06-06

    申请号:US13678266

    申请日:2012-11-15

    CPC classification number: G06F17/10 B82Y10/00 G06F17/11 G06N99/002

    Abstract: Solving computational problems may include generating a logic circuit representation of the computational problem, encoding the logic circuit representation as a discrete optimization problem, and solving the discrete optimization problem using a quantum processor. Output(s) of the logic circuit representation may be clamped such that the solving involves effectively executing the logic circuit representation in reverse to determine input(s) that corresponds to the clamped output(s). The representation may be of a multiplication circuit. The discrete optimization problem may be composed of a set of miniature optimization problems, where each miniature optimization problem encodes a respective logic gate from the logic circuit representation. A multiplication circuit may employ binary representations of factors, and these binary representations may be decomposed to reduce the total number of variables required to represent the multiplication circuit.

    Abstract translation: 解决计算问题可能包括生成计算问题的逻辑电路表示,将逻辑电路表示编码为离散优化问题,以及使用量子处理器来解决离散优化问题。 可以钳位逻辑电路表示的输出,使得解决方案涉及有效地执行逻辑电路表示,以确定对应于被钳位的输出的输入。 该表示可以是乘法电路。 离散优化问题可以由一组微型优化问题组成,其中每个微型优化问题从逻辑电路表示编码相应的逻辑门。 乘法电路可以采用因子的二进制表示,并且这些二进制表示可以被分解以减少表示乘法电路所需的变量的总数。

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