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1. 发明申请

US20230133597A1 Binary Optimization Using Shallow Boson Sampling 有权
公开(公告)号：US20230133597A1
公开(公告)日：2023-05-04
申请号：US17670284
申请日：2022-02-11
申请人： ORCA Computing Limited
发明人： Hugo Wallner , Kamil Bradler
IPC分类号： G06N10/60 , G06F17/11 , G06F17/18 , G01B9/02
摘要： Methods and systems are described herein for determining a solution to a binary optimization problem. In examples, a system described herein comprises a controller and a boson sampler which together implement a hybrid quantum-classical process. Computer-readable media are also described herein.

2. 发明申请

US20230042979A1 SYSTEMS AND METHODS OF HYBRID ALGORITHMS FOR SOLVING DISCRETE QUADRATIC MODELS 有权
公开(公告)号：US20230042979A1
公开(公告)日：2023-02-09
申请号：US17785188
申请日：2020-12-14
申请人： D-WAVE SYSTEMS INC.
发明人： Hossein Sadeghi Esfahani , William W. Bernoudy , Mohsen Rahmani
IPC分类号： G06N10/60
摘要： Methods for solving discrete quadratic models are described. The methods compute an energy of each state of each variable based on its interaction with other variables, exponential weights, and normalized probabilities proportional to the exponential weights. The energy of each variable is computed as a function of the magnitude of each variable and a current state of all other variables, exponential weights, the feasible region for each variable, and normalized probabilities, proportional to the exponential weights and respecting constraints. Methods executed via a hybrid computing system obtain two candidate values for each variable; constructs a Hamiltonian that uses a binary value to determine which candidate values each variable should take, then constructs a binary quadratic model based on the Hamiltonian. Samples from the binary quadratic model are obtained via a quantum processor. The methods can be applied to solve resource scheduling optimization problems and/or for side-chain optimization for proteins.

3. 发明申请

US20230016119A1 Monte Carlo Quantum Computing 有权
公开(公告)号：US20230016119A1
公开(公告)日：2023-01-19
申请号：US17563023
申请日：2021-12-27
申请人： Haiqing Wei
发明人： Haiqing Wei
IPC分类号： G06N10/60 , G06N10/20
摘要： Monte Carlo methods are described for efficiently simulating a separately frustration-free Hamiltonian of a many-body quantum system on a classical computer. Also disclosed are methods for designing a separately frustration-free Hamiltonian to simulate a prescribed quantum system. Further described are methods for solving a prescribed computational problem by designing a quantum system having a separately frustration-free Hamiltonian and simulating the designed quantum system via Monte Carlo on a classical computer.

4. 发明申请

US20220399083A1 Method for finding an optimal quantum state minimizing the energy of a Hamiltonian operator with a quantum processor by using a VQE method, determining a quantum state of a chemical compound, and determining physical quantum properties of materials 有权
公开(公告)号：US20220399083A1
公开(公告)日：2022-12-15
申请号：US17835328
申请日：2022-06-08
申请人： BULL SAS
发明人： Thomas AYRAL , Pauline BESSERVE
IPC分类号： G16C10/00 , G06N10/60 , G06N10/20
摘要： A method for finding an optimal quantum state minimizing the energy of a Hamiltonian operator with a quantum processor and a classical processor comprising a quantum circuit for producing trial quantum states for the Hamiltonian operator and parametric quantum gates with associated parameters, by using a VQE method, the method comprising: providing the Hamiltonian operator in an orbital basis and iteratively, until a predefined stopping criterion is satisfied: (i) applying the VQE method to find optimized values for the parameters that yield an intermediate optimal quantum state which minimizes the energy of the Hamiltonian operator, (ii) computing a one particle reduced density matrix (1-RDM) based on the intermediate optimal quantum state, (iii) determining an updated orbital basis in which the 1-RDM is diagonal, and an associated transformation matrix, and (iv) modifying the Hamiltonian operator with the transformation matrix; and then returning, as the optimal quantum state the intermediate optimal quantum state that minimizes the most the energy.

5. 发明申请

US20220398482A1 METHOD FOR SIMULATING A REAL SPIN SYSTEM, MORE PARTICULARLY A NOISY SPIN SYSTEM, BY MEANS OF A QUANTUM COMPUTER 有权
公开(公告)号：US20220398482A1
公开(公告)日：2022-12-15
申请号：US17775958
申请日：2021-04-12
申请人： HQS Quantum Simulations GmbH
发明人： Michael MARTHALER , Sebastian ZANKER , Keith FRATUS
IPC分类号： G06N10/20 , G06N10/60
摘要： A method for simulating a noisy spin system using a quantum computer, wherein a real spin system is based on an abstract quantum spin system and at least one physical parameter to be determined is mapped to the abstract quantum spin system. It is characterized by the fact that a simulation algorithm for the abstract quantum spin system is created and the decoherence rates and the corresponding coupling operators of all available qubits of a quantum computer are determined, as well as that the effective decoherence rates of the spins of the abstract quantum spin system are determined and the effective decoherence rates of the spins of the abstract quantum spin system with the spins and the associated decoherence rates of the qubits of a quantum computer are mapped in such a way that the abstract quantum spin system is then simulated on a quantum computer and the at least one physical parameter of the abstract quantum spin system to be determined is determined.

6. 发明申请

US20220391742A1 QUANTUM COMPUTER SYSTEM AND METHOD FOR COMBINATORIAL OPTIMIZATION 有权
公开(公告)号：US20220391742A1
公开(公告)日：2022-12-08
申请号：US17825908
申请日：2022-05-26
申请人： Cambridge Quantum Computing Limited
发明人： David Amaro , Carlo Modica , Marcello Benedetti , Mattia Fiorentini , Michael Lubasch , Matthias Rosenkrantz
IPC分类号： G06N10/60 , G06N10/20 , G06N10/80
摘要： A computing system including one or more classical binary computers coupled to one or more quantum computers. The computing system is configured to process the one or more computing tasks including at least one combinatorial optimization task using a Filtering Variational Quantum Eigensolver (F-VQE) algorithm implemented by using one or more Ansätze circuits and a cost function arrangement to generate one or more quantum circuits in the quantum computer. The computing system iteratively applies a filtering operator to a cost function arrangement to generate a corresponding filtered cost function arrangement that excludes energy states that exceed an energy threshold and uses the filtered cost function arrangement in the one or more quantum circuits to generate output results.

7. 发明申请

US20220389414A1 MOLECULAR COMPUTING METHODS AND SYSTEMS FOR SOLVING COMPUTATIONAL PROBLEMS 有权
公开(公告)号：US20220389414A1
公开(公告)日：2022-12-08
申请号：US17772169
申请日：2020-10-28
申请人： THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO , WISCONSIN ALUMNI RESEARCH FOUNDATION , THE UNIVERSITY COURT OF THE UNIVERSITY OF GLASGOW , PRESIDENT AND FELLOWS OF HARVARD COLLEGE , NORTHWESTERN UNIVERSITY
发明人： Alan ASPURU-GUZIK , Si Yue GUO , Tony Chang-Chi WU , Pascal Thomas FRIEDERICH , Randall Howard GOLDSMITH , Leroy CRONIN , Abhishek SHARMA , Yudong CAO , Nathan C. GIANNESCHI , Christopher James FORMAN
IPC分类号： C12N15/10 , G06N99/00 , G06N10/60
摘要： Molecular computer techniques for solving a computational problem using an array of reaction sites, for example, droplets, are disclosed. The problem may be represented as a Hamiltonian in terms of problem variables and problem parameters. The reaction sites may have a physicochemical property mapping to discrete site states corresponding to possible values of the problem variables. In a purely molecular approach, the reaction sites have intra-site and inter-site couplings enforced thereon representing the problem parameters, and the array is allowed to evolve, subjected to the enforced couplings, to a final configuration conveying a solution to the problem. In a hybrid classical-molecular approach, an iterative procedure may be performed that involves feeding read-out site states into a digital computer, determining, based on the problem parameters, perturbations to be applied to the states, and allowing the array to evolve under the perturbations to a final configuration conveying a solution to the problem.

8. 发明申请

US20220383178A1 CONTROL SEQUENCE FOR QUANTUM COMPUTER 有权
公开(公告)号：US20220383178A1
公开(公告)日：2022-12-01
申请号：US17639560
申请日：2021-02-03
申请人： Phasecraft Limited
发明人： Toby Cubitt , Laura Clinton , Johannes Bausch
IPC分类号： G06N10/60 , G06N10/40
摘要： A method is provided for determining a control sequence for performing a multiqudit algorithm on a quantum computer, the multiqudit algorithm expressible as a series of one or more k-qudit interactions. The method comprises, for each of the k-qudit interactions, decomposing the k-qudit interaction into a sequence of single-qudit unitary rotations and/or two-qudit unitary rotations from the continuous family of controllable unitary rotations generated by underlying physical interactions in the hardware of the quantum computer subject to a specified minimum interaction time, said sequence being physically implementable on the quantum computer. The method further comprises combining the sequences to form a combined interaction sequence. The method further comprises determining, based on the combined interaction sequence, the control sequence for performing the multiqudit algorithm on the quantum computer. The method may comprise, after the combining step, repeating the combined interaction sequence at least once to form a repeated interaction sequence. Determining the control sequence may comprise determining the control sequence based on the repeated sequence. The method is particularly suitable for performing simulations of the effects of Hamiltonians. Computer-readable media and computing apparatuses are also described.

9. 发明申请

US20220335323A1 SOLUTION SYSTEM, SOLUTION METHOD, AND SOLUTION PROGRAM 有权
公开(公告)号：US20220335323A1
公开(公告)日：2022-10-20
申请号：US17642332
申请日：2019-09-24
申请人： NEC Corporation
发明人： Fumiyo TAKANO , Hiroshi CHISHIMA
IPC分类号： G06N10/60
摘要： Provided is a solution system capable of reducing the amount of computation when solving a combinatorial optimization problem by applying an energy function in a model representing a state of individual spins by a first value or a second value to simulated annealing. The input unit 2 receives input of an energy function in a model representing states of individual spins by a first value or a second value, wherein the energy function is corresponding to a combinatorial optimization problem to be solved. In a process of the simulated annealing, the simulated annealing unit 3 selects a spin, selects a set to which the spin belongs, and changes the states of one or more spins including the spin while a condition where the set satisfies a constraint is maintained, when the set satisfies the predetermined constraint and the state of the spin is determined to be changed.

10. 发明申请

US20220327416A1 SYSTEMS, DEVICES, ARTICLES, AND METHODS TO INTERACT WITH INFORMATION STORED IN BOUND-EXCITON STATES ASSOCIATED WITH LUMINESCENT SILICON DEFECTS 有权
公开(公告)号：US20220327416A1
公开(公告)日：2022-10-13
申请号：US17596669
申请日：2020-08-06
申请人： PHOTONIC INC.
发明人： Stephanie SIMMONS , Michael L. W. THEWALT
IPC分类号： G06N10/60
摘要： Various systems, devices, articles and methods related to one or more local luminescent defects disposed within semiconductor body including silicon. A respective defect included in the one or more defects supports a respective bound exciton. A respective pair of computational states is defined at the respective defect and one computational state of the pair of computational states includes a first configuration for the respective exciton. Information stored in the respective pair of computational states can be manipulated according to various systems, devices, articles and methods described herein.

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