METHOD AND APPARATUS FOR SIMULATING QUANTUM CIRCUIT

    公开(公告)号:US20240070500A1

    公开(公告)日:2024-02-29

    申请号:US17899575

    申请日:2022-08-30

    Inventor: Kun Fang

    CPC classification number: G06N10/20

    Abstract: A method for operating a quantum computer is provided. The method includes: obtaining a quantum gate parameter of each quantum gate in a quantum circuit to be simulated; and generating a sub-measurement mode equivalent to the quantum gate based on the quantum gate parameter. The method further includes combining the sub-measurement mode equivalent to each quantum gate to obtain an overall measurement mode equivalent to the quantum circuit to be simulated as a whole; and sorting an operation order of the operation commands of each sub-measurement mode in the overall measurement mode, thereby obtaining the sorted overall measurement mode as a simulation result. This solution transforms the quantum circuit used for quantum computation into an equivalent measurement mode according to a one-way quantum computer computation model. Direct simulation computation on the quantum circuit can be avoided, and accordingly a simulation operation amount of a classical computer is greatly reduced.

    LIGHTWEIGHT MODEL TRAINING METHOD, IMAGE PROCESSING METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20240070454A1

    公开(公告)日:2024-02-29

    申请号:US18108956

    申请日:2023-02-13

    CPC classification number: G06N3/08 G06V10/82

    Abstract: Provided is a lightweight model training method, an image processing method, a device and a medium. The lightweight model training method includes: acquiring first and second augmentation probabilities and a target weight adopted in an e-th iteration; performing data augmentation on a data set based on the first and second augmentation probabilities respectively, to obtain first and second data sets; obtaining a first output value of a student model and a second output value of a teacher model based on the first data set; obtaining a third output value and a fourth output value based on the second data set; determining a distillation loss function, a truth-value loss function and a target loss function; training the student model based on the target loss function; and determining a first augmentation probability or target weight to be adopted in an (e+1)-th iteration in a case of e is less than E.

    VEHICLE CONTROL METHOD AND APPARATUS, DEVICE AND COMPUTER STORAGE MEDIUM

    公开(公告)号:US20240062654A1

    公开(公告)日:2024-02-22

    申请号:US17753817

    申请日:2021-11-17

    Abstract: The present disclosure discloses a vehicle control method and apparatus, a device and a computer storage medium, and relates to the technical fields of autonomous driving and intelligent transportation. A specific implementation solution involves: determining vehicles in a preset geo-fencing region; determining a vehicle weight of each said vehicles according to a vehicle type and a waiting duration of each said vehicles; estimating, according to the vehicle weights of the vehicles in each of lanes in the geo-fencing region and positions of the vehicles in each said lanes, a duration to be waited in each said lanes; and generating a control instruction for each said vehicles according to the respective durations to be waited in each said lanes and the respective positions of the vehicles in each said lanes, the control instruction including a state instruction and/or a target speed instruction. According to the present disclosure, global scheduling decisions can be performed on vehicles in a geo-fencing region, so as to alleviate traffic congestion.

    Method for selecting annotated sample, apparatus, electronic device and storage medium

    公开(公告)号:US11907668B2

    公开(公告)日:2024-02-20

    申请号:US18148904

    申请日:2022-12-30

    CPC classification number: G06F40/30 G06F18/24

    Abstract: The present disclosure provides a method for selecting an annotated sample. The method includes: determining a first attribute and a second attribute of a sample characteristic; in which the first attribute is a characteristic attribute of the sample characteristic in a source field sample set, and the second attribute is a characteristic attribute of the sample characteristic in a target field sample set; and determining a target annotated sample from a plurality of candidate annotated samples of the source field sample set according to the first attribute and the second attribute; in which the target annotated sample is configured to train a classification model, the classification model includes a model for determining an emotion polarity by analyzing an input sample to be classified.

    Method for training a linguistic model and electronic device

    公开(公告)号:US11900918B2

    公开(公告)日:2024-02-13

    申请号:US17451380

    申请日:2021-10-19

    CPC classification number: G10L15/063 G06F40/253 G06F40/30

    Abstract: The present disclosure provides a method for training a linguistic model, related to fields of speech, natural language processing, deep learning technologies. A method includes: obtaining grammars corresponding to a plurality of sample texts and a slot value of a slot in each grammar by using semantic analysis; generating a grammar graph corresponding to each grammar based on the corresponding grammar and the slot value of the slot in the corresponding grammar; obtaining a weight of each grammar, a weight of each slot, and a weight of each slot value in each grammar graph based on the sample texts; determining at least one grammar frequency of each order based on the weight of each grammar, the weight of each slot, and the weight of each slot value in each grammar graph; and training the linguistic model based on the at least one grammar frequency of each order.

    SYSTEM FOR PROCESSING QUANTUM TASK, METHOD FOR PROCESSING QUANTUM TASK AND RELATED APPARATUSES

    公开(公告)号:US20240037436A1

    公开(公告)日:2024-02-01

    申请号:US18483184

    申请日:2023-10-09

    CPC classification number: G06N10/20 G06F9/5027

    Abstract: A system for processing a quantum task, a method, a device and a storage medium are provided. The system includes: a user terminal, configured to acquire basic measurement and control parameters of a superconducting quantum computer, generate a quantum task consisting of a quantum pulse and a quantum pulse gate based on the basic measurement and control parameters and an intended task purpose, and send the quantum task to a quantum hardware client; the quantum hardware client, configured to parse the quantum task into a queue of quantum pulses arranged in a time sequence, and send the queue of quantum pulses to the superconducting quantum computer; and the superconducting quantum computer, configured to execute quantum pulse instructions in the queue of quantum pulses in the time sequence, and return an obtained task result to the user terminal.

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