公开(公告)号：US20240354615A1

公开(公告)日：2024-10-24

申请号：US18111649

申请日：2023-02-20

Applicant: Bank of America Corporation

Inventor： Shailendra Singh

IPC: G06N10/40 ,  G06N10/80

CPC classification number: G06N10/40 ,  G06N10/80

Abstract: Arrangements for intelligent provisioning of quantum programs to quantum hardware are provided. In some aspects, a quantum program of a plurality of quantum programs to be executed on target quantum hardware may be received from a digital computing device. The quantum program may be scanned and optimized for minimum quantum bit (qubit) consumption using one or more machine learning models. Based on an accuracy requirement of a quantum program output, a criticality level of the quantum program may be identified. In addition, a qubit count associated with the quantum program, indicating a number of qubits used to perform quantum processing of the quantum program, may be identified. Based on the identified criticality level and qubit count, an allocation of qubits together with target quantum hardware may be assigned for deploying the quantum program. The target quantum hardware may ingest the quantum program and perform quantum processing of the quantum program.

公开(公告)号：US12106320B2

公开(公告)日：2024-10-01

申请号：US18179934

申请日：2023-03-07

Applicant: Strong Force VCN Portfolio 2019, LLC

Inventor： Charles Howard Cella ,  Andrew S. Locke

IPC: G06Q30/0201 ,  G05B13/04 ,  G06F9/48 ,  G06N5/043 ,  G06N10/60 ,  G06N10/80 ,  G06N20/00 ,  G06Q10/0631 ,  G06Q10/087 ,  G06Q30/0601 ,  G06Q40/04

CPC classification number: G06Q30/0206 ,  G05B13/048 ,  G06F9/4881 ,  G06N5/043 ,  G06N10/60 ,  G06N10/80 ,  G06N20/00 ,  G06Q10/0631 ,  G06Q10/06315 ,  G06Q10/087 ,  G06Q30/0201 ,  G06Q30/0625 ,  G06Q40/04

Abstract: An autonomous futures contract orchestration platform includes a set of processors programmed with a set of non-transitory computer-readable instructions. The instructions include receiving, from a data source, an indication associated with a product that relates to an entity that purchases or sells the product. The instructions include predicting a baseline cost of purchasing or selling the product at a future point in time based on the indication. The instructions include retrieving a futures cost, at a current point in time, of a futures contract for an obligation to the purchasing or selling the product for delivery or performance of the product at the future point in time. The instructions include executing a smart contract for the futures contract based on the baseline cost and the futures cost. The instructions include orchestrating the delivery or performance of the product at the future point in time.

公开(公告)号：US20240311679A1

公开(公告)日：2024-09-19

申请号：US18198532

申请日：2023-05-17

Applicant: International Business Machines Corporation

Inventor： Juan Cruz Benito ,  Ivan Duran Martinez ,  Francisco Jose Martin Fernandez ,  Ismael Faro Sertage

IPC: G06N10/80 ,  G06N10/20

CPC classification number: G06N10/80 ,  G06N10/20

Abstract: Quantum code-related entities are obtained and one or more of a set of one or more trained neural network models are selected for inferencing based on the quantum code-related entities. The inferencing is performed using the submitted quantum code-related entities and the selected one or more trained neural network models, and a result of the inferencing operation is returned.

公开(公告)号：US12093784B2

公开(公告)日：2024-09-17

申请号：US18351666

申请日：2023-07-13

Applicant: Microsoft Technology Licensing, LLC

Inventor： Poulami Das ,  Nicolas Guillaume Delfosse ,  Christopher Anand Pattison ,  Srilatha Manne ,  Douglas Carmean ,  Krysta Marie Svore ,  Helmut Gottfried Katzgraber

IPC: G06N10/00 ,  G06F9/30 ,  G06F9/38 ,  G06F9/50 ,  G06F18/2323 ,  G06N10/40 ,  G06N10/60 ,  G06N10/70 ,  G06N10/80 ,  H03M13/00 ,  H03M13/15

CPC classification number: G06N10/00 ,  G06F9/30098 ,  G06F9/30145 ,  G06F9/382 ,  G06F9/3861 ,  G06F9/3869 ,  G06F9/5016 ,  G06F18/2323 ,  G06N10/40 ,  G06N10/60 ,  G06N10/70 ,  G06N10/80 ,  H03M13/1575 ,  H03M13/611

Abstract: A quantum computing device comprises a surface code lattice that includes l logical qubits, where l is a positive integer. The surface code lattice is partitioned into two or more regions based on lattice geometry. A compression engine is coupled to each logical qubit of the l logical qubits. Each compression engine is configured to compress syndrome data generated by the surface code lattice using a geometry-based compression scheme. A decompression engine is coupled to each compression engine. Each decompression engine is configured to receive compressed syndrome data, decompress the received compressed syndrome data, and route the decompressed syndrome data to a decoder block.

公开(公告)号：US20240289674A1

公开(公告)日：2024-08-29

申请号：US18174328

申请日：2023-02-24

Applicant: Dell Products L.P.

Inventor： Rômulo Teixeira de Abreu Pinho ,  Miguel Paredes Quiñones ,  Micael Veríssimo de Araújo ,  João Victor Pinto ,  Alexander Eulalio Robles Robles

IPC: G06N10/60 ,  G06N10/80

CPC classification number: G06N10/60 ,  G06N10/80

Abstract: One example method includes providing quantum circuit information, concerning a quantum circuit, to a first machine learning model that has been trained with first training data generated as a result of execution of a group of quantum circuits on a simulation engine, providing the quantum circuit information to a second machine learning model that has been trained with second training data generated as a result of execution of the group of quantum circuits on quantum hardware, estimating, by the first machine learning model and the second machine learning model, respective values of a quantum circuit execution parameter of the quantum circuit, comparing the estimates of the quantum circuit execution parameter, and based on the comparing, orchestrating the quantum circuit to either the simulation engine, or the quantum hardware, for execution.

公开(公告)号：US20240289640A1

公开(公告)日：2024-08-29

申请号：US18569705

申请日：2021-06-18

Applicant: NEC Corporation

Inventor： Takuya ARAKI

IPC: G06N5/01 ,  G06N10/80

CPC classification number: G06N5/01 ,  G06N10/80

Abstract: A simulated annealing device includes a solving unit which solves a SAT (Boolean Satisfiability Testing) expressed in a CNF (Conjunctive Normal Form) form with constraint information indicating one or more constraints imposed on a combinatorial optimization problem converted, to obtain sets of values of multiple variables of the combinatorial optimization problem that satisfy the one or more constraints, which are candidate solutions to the combinatorial optimization problem.

公开(公告)号：US12056577B1

公开(公告)日：2024-08-06

申请号：US18180513

申请日：2023-03-08

Applicant: Rigetti & Co, LLC

Inventor： Nicholas C. Rubin

IPC: G06N10/80 ,  G06F9/30 ,  G06F17/16 ,  G06N10/00 ,  G06N10/70

CPC classification number: G06N10/80 ,  G06F9/3001 ,  G06F17/16 ,  G06N10/00 ,  G06N10/70

Abstract: In a general aspect, hybrid quantum/classical algorithms are executed in a computing system. A first set of values representing a measurement of a reduced density matrix (RDM) is obtained. The first set of values is based on sampling quantum states generated by a quantum processor. A classical processor generates a second, different set of values to represent the measurement of the RDM. The second set of values is constructed based on the first set of values by a process that imposes one or more n-representability conditions on the second set of values to represent the measurement of the RDM.

公开(公告)号：US20240220846A1

公开(公告)日：2024-07-04

申请号：US18557763

申请日：2021-04-30

Applicant: Nokia Solutions and Networks Oy

Inventor： Sasu TARKOMA ,  Kimmo Kalervo HÄTÖNEN

IPC: G06N10/80

CPC classification number: G06N10/80

Abstract: According to an example embodiment, an edge computing orchestration device is configured to obtain resource data indicating available edge computing resources, wherein the available edge computing resources comprises at least classical edge computing resources and quantum edge computing resources; obtain software to be executed using the edge computing resources, wherein the software comprises at least classical software and quantum software; identify classical tasks and quantum tasks in the software based on the at least classical software and quantum software; and assign the classical tasks and the quantum tasks to be executed on the available edge computing resources. Devices, methods and computer programs are disclosed.

公开(公告)号：US11983605B2

公开(公告)日：2024-05-14

申请号：US17082844

申请日：2020-10-28

Applicant: International Business Machines Corporation

Inventor： Sergey Bravyi ,  Shaohan Hu ,  Dmitri Maslov ,  Ruslan Shaydulin

IPC: G06N10/20 ,  G06F30/323 ,  G06F30/3308 ,  G06F30/337 ,  G06F30/367 ,  G06F30/398 ,  G06N10/00 ,  G06N10/80

CPC classification number: G06N10/20 ,  G06F30/323 ,  G06N10/00 ,  G06F30/3308 ,  G06F30/337 ,  G06F30/367 ,  G06F30/398 ,  G06N10/80

Abstract: Systems and techniques that facilitate partitioned template matching and/or symbolic peephole optimization are provided. In various embodiments, a system can comprise a template component, which can perform template matching on a Clifford circuit associated with a set of qubits. In various aspects, the system can comprise a partition component, which can partition, prior to the template matching, the Clifford circuit into a computation stage, a Pauli stage, and a SWAP stage. In various instances, the template matching can be performed on the computation stage. In various embodiments, the system can comprise a symbolic component, which can select a subset of qubits from the set of qubits, rewrite at least one entangling gate in the computation stage such that a target of the at least one entangling gate is in the subset of qubits, and replace the at least one rewired entangling gate with a symbolic Pauli gate. In various cases, the symbolic Pauli gate can be a Pauli gate that is controlled by a symbolic variable. In various aspects, the system can comprise a peephole component, which can perform peephole optimization on the subset of qubits with the symbolic Pauli gate by implementing a dynamic programming algorithm.

公开(公告)号：US11977957B2

公开(公告)日：2024-05-07

申请号：US17393286

申请日：2021-08-03

Applicant: Amazon Technologies, Inc.

Inventor： Saravanakumar Shanmugam Sakthivadivel ,  Jeffrey Paul Heckey ,  Derek Bolt ,  Yunong Shi ,  Jon-Mychael Allen Best

IPC: G06N10/00 ,  G06F8/41 ,  G06N10/80

CPC classification number: G06N10/80 ,  G06F8/41 ,  G06N10/00

Abstract: A quantum computing service may store, in a cache, one or more compiled files of respective quantum functions included in one or more quantum computing programs received one or more customers. When the quantum computing service receives another quantum computing program, from the same or a different customer, the quantum computing service may determine whether the quantum computing program may include one or more of the quantum functions corresponding to the compiled files in the cache. If so, the quantum computing service may use the compiled files in the cache to compile the quantum computing program.