公开(公告)号：US20180365587A1

公开(公告)日：2018-12-20

申请号：US16062076

申请日：2015-12-16

Applicant: Alireza Shabani BARZEGAR ,  Pedram ROUSHAN ,  Yu CHEN ,  Hartmut NEVEN ,  Google LLC

Inventor： Alireza Shabani Barzegar ,  Pedram Roushan ,  Yu Chen ,  Hartmut Neven

IPC: G06N99/00 ,  H01P3/00 ,  G01R33/035

Abstract: A quantum computing device includes multiple co-planar waveguide flux qubits, at least one coupler element arranged such that each co-planar waveguide flux qubit, of the multiple co-planar waveguide flux qubits, is operatively couplable to each other co-planar waveguide flux qubit, of the multiple co-planar waveguide flux qubits, of the quantum computing device, and a tuning quantum device, in which the tuning quantum device is in electrical contact with a first co-planar waveguide flux qubit of the plurality of co-planar waveguide flux qubits and with a second co-planar waveguide flux qubit of the plurality of co-planar waveguide flux qubits.

公开(公告)号：US12229635B2

公开(公告)日：2025-02-18

申请号：US17574192

申请日：2022-01-12

Applicant: Google LLC

Inventor： John Martinis ,  Nan Ding ,  Ryan Babbush ,  Sergei V. Isakov ,  Hartmut Neven ,  Vadim Smelyanskiy ,  Sergio Boixo Castrillo

IPC: G06N10/00

Abstract: Methods and apparatus for estimating the fidelity of quantum hardware. In one aspect, a method includes accessing a set of quantum gates; sampling a subset of quantum gates from the set of quantum gates, wherein the subset of quantum gates defines a quantum circuit; applying the quantum circuit to a quantum system and performing measurements on the quantum system to determine output information of the quantum system; calculating output information of the quantum system based on application of the quantum circuit to the quantum system; and estimating a fidelity of the quantum circuit based on the determined output information and the calculated output information of the quantum system.

公开(公告)号：US20240411427A1

公开(公告)日：2024-12-12

申请号：US18808993

申请日：2024-08-19

Applicant: GOOGLE LLC

Inventor： Matthew Kulick ,  Aparna Chennapragada ,  Albert Segars ,  Hartmut Neven ,  Arcot J. Preetham

IPC: G06F3/0482 ,  G06F16/58 ,  G06F16/9535 ,  G06F16/9537

Abstract: Methods and apparatus related to determining a triggering event of a user, selecting media relevant to the triggering event, and providing the selected media to the user. Some implementations are directed to methods and apparatus for determining a past event of the user that is indicative of past interaction of the user with one or more past entities and the triggering event may be determined to be associated with the past event. The media selected to provide to the user may contain media that includes the one or more past entities associated with the past event and the media may be provided to the user in response to the triggering event.

公开(公告)号：US12165008B2

公开(公告)日：2024-12-10

申请号：US18484233

申请日：2023-10-10

Applicant: Google LLC

Inventor： Masoud Mohseni ,  Hartmut Neven

IPC: G06N10/00 ,  G06F15/82 ,  G06F17/11 ,  G06N7/01 ,  G06N10/20 ,  G06N20/00 ,  H10N60/10 ,  H10N60/12 ,  H10N60/80 ,  G06N10/40

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.

公开(公告)号：US12159206B1

公开(公告)日：2024-12-03

申请号：US18130331

申请日：2023-04-03

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.

公开(公告)号：US12131226B2

公开(公告)日：2024-10-29

申请号：US18311746

申请日：2023-05-03

Applicant: Google LLC

Inventor： Yuezhen Niu ,  Hartmut Neven ,  Vadim Smelyanskiy ,  Sergio Boixo Castrillo

IPC: G06N10/00 ,  H03K3/38

CPC classification number: G06N10/00 ,  H03K3/38

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.

公开(公告)号：US11900214B2

公开(公告)日：2024-02-13

申请号：US17394140

申请日：2021-08-04

Applicant: Google LLC

Inventor： Hartmut Neven

IPC: G06N10/00 ,  G06N7/01 ,  G06F15/163

CPC classification number: G06N10/00 ,  G06F15/163 ,  G06N7/01

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.

公开(公告)号：US11861466B1

公开(公告)日：2024-01-02

申请号：US16719881

申请日：2019-12-18

Applicant: Google LLC

Inventor： Hartmut Neven ,  Nan Ding ,  Vasil S. Denchev

IPC: G06N20/00 ,  G06N10/00 ,  G06F17/16

CPC classification number: G06N20/00 ,  G06F17/16 ,  G06N10/00

Abstract: A system comprises a network of computers comprising a master computer and slave computers. For a machine learning problem that is partitioned into a number of correlated sub-problems, each master computer is configured to store tasks associated with the machine learning problem, and each of the slave computers is assigned one of the correlated sub-problems. Each slave computer is configured to store variables or parameters or both associated with the assigned one of the correlated sub-problems; obtain information about one or more tasks stored by the master computer without causing conflict with other slave computers with regard to the information; perform computations to update the obtained information and the variables or parameters or both of the assigned sub-problem; send the updated information to the master computer to update the information stored at the master computer; and store the updated variables or parameters or both of the assigned sub-problem.

公开(公告)号：US20220138610A1

公开(公告)日：2022-05-05

申请号：US17574192

申请日：2022-01-12

Applicant: Google LLC

Inventor： John Martinis ,  Nan Ding ,  Ryan Babbush ,  Sergei V. Isakov ,  Hartmut Neven ,  Vadim Smelyanskiy ,  Sergio Boixo Castrillo

IPC: G06N10/00

Abstract: Methods and apparatus for estimating the fidelity of quantum hardware. In one aspect, a method includes accessing a set of quantum gates; sampling a subset of quantum gates from the set of quantum gates, wherein the subset of quantum gates defines a quantum circuit; applying the quantum circuit to a quantum system and performing measurements on the quantum system to determine output information of the quantum system; calculating output information of the quantum system based on application of the quantum circuit to the quantum system; and estimating a fidelity of the quantum circuit based on the determined output information and the calculated output information of the quantum system.

公开(公告)号：US20210295198A1

公开(公告)日：2021-09-23

申请号：US17339125

申请日：2021-06-04

Applicant: Google LLC

Inventor： Ryan Babbush ,  Hartmut Neven

IPC: G06N10/00 ,  G06F15/16 ,  G06N20/00 ,  B82Y10/00

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.