QUANTUM ALGORITHM ASSISTANT
    2.
    发明公开

    公开(公告)号:US20240354627A1

    公开(公告)日:2024-10-24

    申请号:US18345244

    申请日:2023-06-30

    IPC分类号: G06N10/60 G06N10/20

    CPC分类号: G06N10/60 G06N10/20

    摘要: One example method includes detecting a quantum gate pattern in a quantum circuit, analyzing the quantum gate pattern, based on the analyzing, generating a set of rules and generating a modified quantum gate pattern that comprises a modification of the quantum gate pattern, based on the modified quantum gate pattern, generating a set of transpilation output metrics, and using the rules and the transpilation output metrics to generate a suggestion concerning modification of the quantum circuit.

    Training Quantum Neural Networks Using Meta Optimization

    公开(公告)号:US20240330680A1

    公开(公告)日:2024-10-03

    申请号:US18194598

    申请日:2023-03-31

    申请人: Fujitsu Limited

    IPC分类号: G06N3/08 G06N10/60

    CPC分类号: G06N3/08 G06N10/60

    摘要: According to an aspect of an embodiment, operations include receiving a dataset associated with a machine learning task, preparing an input quantum state based on the dataset, and preparing a VQC to function as a QNN. The operations further include executing operations comprising reading content of a state buffer as empty or including past information on parameters of the QNN, selecting parameter values based on the content, preparing an input for an optimizer network based on the parameter values, computing an output by applying the optimizer network on the input, updating the parameter values using the output, and obtaining a current cost function value based on the updated parameter values. The operations further include updating the state buffer using the current cost function value and the updated parameters values and training the QNN until the current cost function value is below a threshold.

    OPERATOR IMPLEMENTATIONS FOR QUANTUM COMPUTATION

    公开(公告)号:US20240281693A1

    公开(公告)日:2024-08-22

    申请号:US18034444

    申请日:2021-10-19

    摘要: A computer-implemented method and system for implementing a n-fold fermionic excitation generator using linear combination of directly differentiable operators on a quantum computer. Computer-readable data is generated and stored which when executed on the quantum computer, causes a quantum circuit of the quantum computer to execute repeatedly to perform a sequence of operations that implements the unitary (I) generated by a fermionic n-fold excitation operator G. The Gradient with respect to the angle Θ of arbitrary expectation values involving the unitary operation can, in the general case, be evaluated by four expectation values obtained from replacing the corresponding unitary with fermionic shift operations (II). Fermionic shift operations can be constructed through the original unitary and unitary operations generated by the nullspace projector P0 of the fermionic excitation generator. Other operators and generators are disclosed.

    INTELLIGENT ORCHESTRATION OF QUANTUM PROGRAMS USING SMART CONTRACTS LINKED TO QUANTUM PROGRAM NON-FUNGIBLE TOKENS

    公开(公告)号:US20240281688A1

    公开(公告)日:2024-08-22

    申请号:US18111664

    申请日:2023-02-20

    发明人: Shailendra Singh

    IPC分类号: G06N10/20 G06N10/60 G06Q40/04

    摘要: Arrangements for intelligent orchestration of quantum programs using smart contracts linked to quantum program non-fungible tokens (NFTs) are provided. A plurality of quantum programs to be executed on target quantum hardware may be received from a digital computing device. NFTs representing each of the plurality of quantum programs may be created and linked to a corresponding quantum program. The NFTs may be stored on a distributed ledger and controlled by smart contracts storing predefined acceptance rules based on which a quantum processing output is deployed to the digital computing device. A quantum program may be validated for respective target quantum hardware by validating the NFT associated with the quantum program. The respective target quantum hardware may ingest the validated quantum program and perform quantum processing. Responsive the output of quantum processing meeting the predefined acceptance criterion, the output of the quantum processing may be deployed in the digital computing device.

    Cascade protocol for iSWAP gate in a two-qubit system

    公开(公告)号:US12067457B2

    公开(公告)日:2024-08-20

    申请号:US16981075

    申请日:2019-01-31

    申请人: Google LLC

    CPC分类号: G06N10/00 G06N10/20 G06N10/60

    摘要: Methods, systems and apparatus for implementing iSWAP quantum logic gates between a first qubit and a second qubit. In one aspect, a method includes implementing a cascade schedule that defines a trajectory of a detuning between a frequency of the first qubit and a frequency of the second qubit. Implementing the cascade schedule includes: during a first stage, adiabatically driving detuning between the frequency of the first qubit and the frequency of the second qubit through a first avoided crossing in a leakage channel; during a second stage, driving detuning between the frequency of the first qubit and the frequency of the second qubit through a second avoided crossing in a swap channel; during a third stage, evolving the first qubit and second qubit; during a fourth stage, implementing the second stage in reverse order; and during a fifth stage, implementing the first stage in reverse order.

    ALLOCATION DEVICE, AND ALLOCATION METHOD
    9.
    发明公开

    公开(公告)号:US20240220842A1

    公开(公告)日:2024-07-04

    申请号:US18288638

    申请日:2021-05-10

    申请人: NEC Corporation

    发明人: Ryoji MIYAZAKI

    IPC分类号: G06N10/60 G06F17/11 G06N10/40

    CPC分类号: G06N10/60 G06F17/11 G06N10/40

    摘要: Please delete the Abstract of the Disclosure, and replace it with the following: The allocation device 800 includes an allocation unit which allocates binary variables of an Ising problem, which represents a cost function of an LHZ method, to nodes on a Pegasus graph according to the number of the binary variables and parameters for determining allocation of the binary variables, and output unit which outputs information indicating correspondence between the binary variable and the node, based on a result of the allocation of the binary variables to the nodes, wherein the allocation unit reflects a periodic structure that represents the relationship between pairs of the binary variables that are products in the cost function of the Ising problem to a periodic structure in the nodes and edges on the Pegasus graph, to allocate the binary variables to the nodes.

    Temporally encoded lattice surgery protocols for hybrid error detection and correction schemes

    公开(公告)号:US12007835B1

    公开(公告)日:2024-06-11

    申请号:US18064913

    申请日:2022-12-12

    IPC分类号: G06F11/08 G06F8/65 G06N10/60

    CPC分类号: G06F11/08 G06F8/65 G06N10/60

    摘要: Techniques for performing temporally encoded lattice surgery (TELS) protocols to reduce space-time costs of lattice surgery measurements are disclosed. A given quantum algorithm may be represented using Pauli-based computation, and associated multi-qubit Pauli operators may be encoded into codewords of a given classical error-correcting code. A hybrid error detection and correction scheme may then be applied during a given TELS protocol in which classical error syndromes corresponding to errors with weights up to a certain weight limit may be corrected while other classical error syndromes corresponding to errors with higher weights may cause given lattice surgery measurements to be remeasured. The weight limit for the hybrid scheme may be chosen based, at least in part, on a number of codewords used, a size of a parallelizable Pauli set used to represent the quantum algorithm, and a distance parameter of the chosen classical error-correcting code.