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    QUANTUM HARDWARE CHARACTERIZED BY PROGRAMMABLE BOSE-HUBBARD HAMILTONIANS
    32.
    发明申请
    QUANTUM HARDWARE CHARACTERIZED BY PROGRAMMABLE BOSE-HUBBARD HAMILTONIANS 审中-公开

    公开(公告)号：US20200161530A1

    公开(公告)日：2020-05-21

    申请号：US16752404

    申请日：2020-01-24

    Applicant: Google LLC

    Inventor： Masoud Mohseni ,  Hartmut Neven

    IPC: H01L39/02 ,  G06N10/00

    Abstract: An apparatus includes a first group of superconducting cavities and a second group of superconducting cavities, each of which is configured to receive multiple photons. The apparatus includes couplers, where each coupler couples one superconducting cavity from the first group with one cavity from the second group such that the photons in the coupled superconducting cavities interact. A first superconducting cavity of the first group is connected to a second superconducting cavity of the second group, such that photons of the first and second superconducting cavities are shared by each of the first and second superconducting cavities. The first superconducting cavity is coupled to at least one other superconducting cavity of the first group to which the second superconducting cavities are coupled, and the second superconducting cavity is coupled to at least one other superconducting cavity of the second group to which the first superconducting cavities are coupled.

    QUANTUM STATISTIC MACHINE
    33.
    发明申请
    QUANTUM STATISTIC MACHINE 审中-公开

    公开(公告)号：US20190005402A1

    公开(公告)日：2019-01-03

    申请号：US16067560

    申请日：2016-12-22

    Applicant: Google LLC

    Inventor： Masoud Mohseni ,  Hartmut Neven

    IPC: G06N99/00

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for constructing and programming quantum hardware for machine learning processes. A Quantum Statistic Machine (QSM) is described, consisting of three distinct classes of strongly interacting degrees of freedom including visible, hidden and control quantum subspaces or subsystems. The QSM is defined with a programmable non-equilibrium ergodic open quantum Markov chain with a unique attracting steady state in the space of density operators. The solution of an information processing task, such as a statistical inference or optimization task, can be encoded into the quantum statistics of an attracting steady state, where quantum inference is performed by minimizing the energy of a real or fictitious quantum Hamiltonian. The couplings of the QSM between the visible and hidden nodes may be trained to solve hard optimization or inference tasks.

    Quantum hardware characterized by programmable bose-hubbard Hamiltonians
    36.
    发明授权
    Quantum hardware characterized by programmable bose-hubbard Hamiltonians 有权

    公开(公告)号：US12089509B2

    公开(公告)日：2024-09-10

    申请号：US16752404

    申请日：2020-01-24

    Applicant: Google LLC

    Inventor： Masoud Mohseni ,  Hartmut Neven

    IPC: H01L39/02 ,  G06N10/00 ,  H10N60/80 ,  G06N7/01

    CPC classification number: H10N60/805 ,  G06N10/00 ,  G06N7/01

    Abstract: An apparatus includes a first group of superconducting cavities and a second group of superconducting cavities, each of which is configured to receive multiple photons. The apparatus includes couplers, where each coupler couples one superconducting cavity from the first group with one cavity from the second group such that the photons in the coupled superconducting cavities interact. A first superconducting cavity of the first group is connected to a second superconducting cavity of the second group, such that photons of the first and second superconducting cavities are shared by each of the first and second superconducting cavities. The first superconducting cavity is coupled to at least one other superconducting cavity of the first group to which the second superconducting cavities are coupled, and the second superconducting cavity is coupled to at least one other superconducting cavity of the second group to which the first superconducting cavities are coupled.

    Totally corrective boosting with cardinality penalization
    38.
    发明授权
    Totally corrective boosting with cardinality penalization 有权

    公开(公告)号：US11620573B1

    公开(公告)日：2023-04-04

    申请号：US16555943

    申请日：2019-08-29

    Applicant: Google LLC

    Inventor： Vasil S. Denchev ,  Hartmut Neven

    IPC: G06N20/00 ,  G06N10/00

    Abstract: Methods, systems, and apparatus, for totally corrective boosting with cardinality penalization are described. One of the methods includes obtaining initialization data identifying training examples, a dictionary of weak classifiers, and an active weak classifier matrix. Iterations of a totally corrective boosting with cardinality penalization process are performed, wherein each iteration performs operations comprising selecting a weak classifier from the dictionary of weak classifiers that most violates a constraint of a dual of the primal problem. The selected weak classifier is included in the active weak classifier matrix. The primal problem is optimized, and a discrete weight vector is determined. Weak classifiers are identified from the active weak classifier matrix with respective discrete weights greater than a threshold. The regularized risk is optimized, and a continuous weight vector is determined. The classifier is determined as an ensemble identified by the weak classifiers and the continuous weight vector.

    ENHANCING SIMULATED ANNEALING WITH QUANTUM ANNEALING
    40.
    发明申请
    ENHANCING SIMULATED ANNEALING WITH QUANTUM ANNEALING 有权

    公开(公告)号：US20210374596A1

    公开(公告)日：2021-12-02

    申请号：US17394140

    申请日：2021-08-04

    Applicant: Google LLC

    Inventor： Hartmut Neven

    IPC: G06N10/00 ,  G06N7/00 ,  G06F15/163

    Abstract: Methods and apparatus for enhancing simulated annealing with quantum fluctuations. In one aspect, a method includes obtaining an input state; performing simulated annealing on the input state with a temperature reduction schedule until a decrease in energy is below a first minimum value; terminating the simulated annealing in response to determining that the decrease in energy is below the first minimum level; outputting a first evolved state and first temperature value; reducing the temperature to a minimum temperature value; performing quantum annealing on the first evolved state with a transversal field increase schedule until a completion of a second event occurs; terminating the quantum annealing in response to determining that a completion of the second event has occurred; outputting a second evolved state as a subsequent input state for the simulated annealing, and determining that the completion of the first event has occurred.

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