Sampling from an analog processor
    51.
    发明申请

    公开(公告)号:US20170116159A1

    公开(公告)日:2017-04-27

    申请号:US15399461

    申请日:2017-01-05

    CPC classification number: G06F17/18 G06N10/00 G06N20/00

    Abstract: The systems, devices, articles, and methods generally relate to sampling from an available probability distribution. The samples maybe used to create a desirable probability distribution, for instance for use in computing values used in computational techniques including: Importance Sampling and Markov chain Monte Carlo systems. An analog processor may operate as a sample generator, for example by: programming the analog processor with a configuration of the number of programmable parameters for the analog processor, which corresponds to a probability distribution over qubits of the analog processor, evolving the analog processor, and reading out states for the qubits. The states for the qubits in the plurality of qubits correspond to a sample from the probability distribution. Operation of the sampling device may be summarized as including updating a set of samples to include the sample from the probability distribution, and returning the set of samples.

    QUANTUM PROCESSOR BASED SYSTEMS AND METHODS THAT MINIMIZE AN OBJECTIVE FUNCTION
    52.
    发明申请
    QUANTUM PROCESSOR BASED SYSTEMS AND METHODS THAT MINIMIZE AN OBJECTIVE FUNCTION 审中-公开
    基于量子处理器的系统和最小化目标函数的方法

    公开(公告)号:US20160042294A1

    公开(公告)日:2016-02-11

    申请号:US14920235

    申请日:2015-10-22

    CPC classification number: G06N10/00 B82Y10/00 G06N3/00 G06N3/12 G06N5/02 G06N7/005

    Abstract: Quantum processor based techniques minimize an objective function for example by operating the quantum processor as a sample generator providing low-energy samples from a probability distribution with high probability. The probability distribution is shaped to assign relative probabilities to samples based on their corresponding objective function values until the samples converge on a minimum for the objective function. Problems having a number of variables and/or a connectivity between variables that does not match that of the quantum processor may be solved. Interaction with the quantum processor may be via a digital computer. The digital computer stores a hierarchical stack of software modules to facilitate interacting with the quantum processor via various levels of programming environment, from a machine language level up to an end-use applications level.

    Abstract translation: 基于量子处理器的技术例如通过将量子处理器作为从具有高概率的概率分布提供低能量样本的样本发生器来操作来最小化目标函数。 概率分布的形状是根据相应的目标函数值为样本分配相对概率,直到样本收敛到目标函数的最小值为止。 可以解决具有与量子处理器不匹配的变量之间的多个变量和/或连接性的问题。 与量子处理器的交互可以通过数字计算机。 数字计算机存储分层堆栈的软件模块,以便于通过各种级别的编程环境从机器语言级别到最终使用应用级别与量子处理器进行交互。

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