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公开(公告)号：US12175330B2
公开(公告)日：2024-12-24
申请号：US18448734
申请日：2023-08-11
Applicant: Google LLC
Inventor： Ryan Babbush , Hartmut Neven
Abstract: Methods, systems, and apparatus for training quantum evolutions using sub-logical controls. In one aspect, a method includes the actions of accessing quantum hardware, wherein the quantum hardware includes a quantum system comprising one or more multi-level quantum subsystems; one or more control devices that operate on the one or more multi-level quantum subsystems according to one or more respective control parameters that relate to a parameter of a physical environment in which the multi-level quantum subsystems are located; initializing the quantum system in an initial quantum state, wherein an initial set of control parameters form a parameterization that defines the initial quantum state; obtaining one or more quantum system observables and one or more target quantum states; and iteratively training until an occurrence of a completion event.
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公开(公告)号：US20240037431A1
公开(公告)日：2024-02-01
申请号：US18484233
申请日：2023-10-10
Applicant: Google LLC
Inventor： Masoud Mohseni , Hartmut Neven
CPC classification number: G06N10/00 , G06N20/00 , G06N7/01 , H10N60/12 , H10N60/128 , H10N60/805 , G06F15/82 , G06F17/11
Abstract: Among other things, an apparatus comprises quantum units; and couplers among the quantum units. Each coupler is configured to couple a pair of quantum units according to a quantum Hamiltonian characterizing the quantum units and the couplers. The quantum Hamiltonian includes quantum annealer Hamiltonian and a quantum governor Hamiltonian. The quantum annealer Hamiltonian includes information bearing degrees of freedom. The quantum governor Hamiltonian includes non-information bearing degrees of freedom that are engineered to steer the dissipative dynamics of information bearing degrees of freedom.
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公开(公告)号：US11763187B2
公开(公告)日：2023-09-19
申请号：US18147144
申请日：2022-12-28
Applicant: Google LLC
Inventor： Ryan Babbush , Hartmut Neven
Abstract: Methods, systems, and apparatus for training quantum evolutions using sub-logical controls. In one aspect, a method includes the actions of accessing quantum hardware, wherein the quantum hardware includes a quantum system comprising one or more multi-level quantum subsystems; one or more control devices that operate on the one or more multi-level quantum subsystems according to one or more respective control parameters that relate to a parameter of a physical environment in which the multi-level quantum subsystems are located; initializing the quantum system in an initial quantum state, wherein an initial set of control parameters form a parameterization that defines the initial quantum state; obtaining one or more quantum system observables and one or more target quantum states; and iteratively training until an occurrence of a completion event.
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公开(公告)号：US11615136B2
公开(公告)日：2023-03-28
申请号：US17157022
申请日：2021-01-25
Applicant: Google LLC
Inventor： David Petrou , Matthew J. Bridges , Shailesh Nalawadi , Hartwig Adam , Matthew R. Casey , Hartmut Neven , Andrew Harp
IPC: G06F16/583 , G06F16/50 , G06F16/9535 , H04N5/225 , G06K9/62 , G06V10/10 , G06V10/56 , G06V10/96 , G06V20/20 , G06V20/62 , G06V30/142 , G06F3/048
Abstract: A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.
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公开(公告)号：US11601265B2
公开(公告)日：2023-03-07
申请号：US16618713
申请日：2018-06-01
Applicant: Google LLC
Inventor： Hartmut Neven , Edward Henry Farhi
Abstract: A quantum neural network architecture. In one aspect, a quantum neural network trained to perform a machine learning task includes: an input quantum neural network layer comprising (i) multiple qubits prepared in an initial quantum state encoding a machine learning task data input, and (ii) a target qubit; a sequence of intermediate quantum neural network layers, each intermediate quantum neural network layer comprising multiple quantum logic gates that operate on the multiple qubits and target qubit; and an output quantum neural network layer comprising a measurement quantum gate that operates on the tar get qubit and provides as output data representing a solution to the machine learning task.
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Patent Agency Ranking
公开(公告)号：US20220230087A1
公开(公告)日：2022-07-21
申请号：US17623128
申请日：2019-10-30
Applicant: Google LLC
Inventor： Sergio Boixo Castrillo , Vadim Smelyanskiy , Hartmut Neven , Alexander Korotkov
Abstract: Methods, systems and apparatus for estimating the fidelity of quantum logic gates. In one aspect, a method includes defining multiple sets of random quantum circuits; for each set of random quantum circuits: selecting an observable for each element in the set of random quantum circuits, wherein each selected observable corresponds to a respective element of the set of random quantum circuits and is dependent on the element to which it corresponds; estimating a value of a polarization parameter for the set of random quantum circuits, comprising performing a least mean squares minimization based on multiple expectation values, wherein each expectation value comprises an expectation value of a respective selected observable with respect to an output of an experimental implementation of a random quantum circuit corresponding to the respective selected observable; and processing the estimated polarization parameter values to obtain an estimate of the fidelity of the n-qubit quantum logic gate.
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公开(公告)号：US20220215280A1
公开(公告)日：2022-07-07
申请号：US17706158
申请日：2022-03-28
Applicant: Google LLC
Inventor： Masoud Mohseni , Hartmut Neven
Abstract: Among other things, an apparatus comprises quantum units; and couplers among the quantum units. Each coupler is configured to couple a pair of quantum units according to a quantum Hamiltonian characterizing the quantum units and the couplers. The quantum Hamiltonian includes quantum annealer Hamiltonian and a quantum governor Hamiltonian. The quantum annealer Hamiltonian includes information bearing degrees of freedom. The quantum governor Hamiltonian includes non-information bearing degrees of freedom that are engineered to steer the dissipative dynamics of information bearing degrees of freedom.
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公开(公告)号：US20220214991A1
公开(公告)日：2022-07-07
申请号：US17575552
申请日：2022-01-13
Applicant: Google LLC
Inventor： Masoud Mohseni , Hartmut Neven
Abstract: An apparatus includes a substrate, a classical computing processor formed on the substrate, a quantum computing processor formed on the substrate, and one or more coupling components between the classical computing processor and the quantum computing processor, the one or more coupling components being formed on the substrate and being configured to allow data exchange between the classical computing processor and the quantum computing processor.
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公开(公告)号：US11288585B2
公开(公告)日：2022-03-29
申请号：US16067560
申请日：2016-12-22
Applicant: Google LLC
Inventor： Masoud Mohseni , Hartmut Neven
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.
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公开(公告)号：US20220012622A1
公开(公告)日：2022-01-13
申请号：US17339276
申请日：2021-06-04
Applicant: Google LLC
Inventor： Yuezhen Niu , Hartmut Neven , Vadim Smelyanskiy , Sergio Boixo Castrillo
Abstract: Methods, systems, and apparatus for implementing a unitary quantum gate on one or more qubits. In one aspect, a method includes the actions designing a control pulse for the unitary quantum gate, comprising: defining a universal quantum control cost function, wherein the control cost function comprises a qubit leakage penalty term representing i) coherent qubit leakage, and ii) incoherent qubit leakage across all frequency components during a time dependent Hamiltonian evolution that realizes the unitary quantum gate; adjusting parameters of the time dependent Hamiltonian evolution to vary a control cost according to the control cost function such that leakage errors are reduced; generating the control pulse using the adjusted parameters; and applying the control pulse to the one or more qubits to implement the unitary quantum gate.
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