METHOD FOR GENERATING DATA INDICATIVE OF A DIGITAL TWIN

    公开(公告)号:US20240193459A1

    公开(公告)日:2024-06-13

    申请号:US18089238

    申请日:2022-12-27

    IPC分类号: G06N10/80

    CPC分类号: G06N10/80

    摘要: The disclosure relates to a method for generating data indicative of a digital twin of a physical system, the method:



    including the steps of receiving, by at least one quantum computing device, data acquirable from the physical system; and
    processing, by the at least one quantum computing device, the data acquirable from the physical system to provide the data indicative of the digital twin.




    The disclosure also relates to a device or system adapted to execute the method, to at least one computing device configured to execute the steps of the method and to a computer program product having instructions for executing the method.

    Quantum-based extreme learning machine
    2.
    发明公开

    公开(公告)号:US20240095586A1

    公开(公告)日:2024-03-21

    申请号:US18244226

    申请日:2023-09-09

    IPC分类号: G06N20/00 G06N10/20

    CPC分类号: G06N20/00 G06N10/20

    摘要: A quantum-based extreme learning machine and a method for training a quantum-based extreme learning machine using a quantum processor implementing a quantum substrate and a set of training data is disclosed. The training data comprises input features vectors with a plurality of N parameters and true labels vector. The method comprises uploading the training data to the quantum processor, encoding the uploaded training data, passing a plurality of subsets of the input features vector from the training data through the quantum substrate to obtain a plurality of output vectors of expectation values, concatenation of the plurality of output vectors of expectation values to construct a matrix, computation of an inverse matrix from the matrix and multiplication of the inverse matrix by the true labels vector to obtain a vector of optimal weights β.

    BRAIN ACTIVITY SENSING AND COMPUTER INTERFACING

    公开(公告)号:US20240069634A1

    公开(公告)日:2024-02-29

    申请号:US17936968

    申请日:2022-09-30

    摘要: A method including the following steps: receiving, by at least one classical computing device or at least one quantum computing device, brain activity measurements of a person provided by at least one brain activity sensor; and processing, by the at least one classical computing device or the at least one quantum computing device, the brain activity measurements by inputting the measurements into a machine learning pipeline configured to provide data indicative of commands or thoughts of the person's brain. The machine learning pipeline is trained with a training dataset with brain activity measurements of the person and commands or thoughts associated therewith. A system for brain activity sensing and computer interfacing is also related.

    METHOD AND SYSTEM FOR QUANTUM COMPUTING

    公开(公告)号:US20220405132A1

    公开(公告)日:2022-12-22

    申请号:US17350669

    申请日:2021-06-17

    摘要: Disclosed are systems and computer implemented methods for providing quantum computing as a service. According to one embodiment the system includes a frontend computing system storing a frontend computer program, a backend computing system, and a quantum computer, the frontend computer program being a spreadsheet application configured to receive a service request from a user, the service request comprising service request parameters and input data. The frontend computing system sends the service request to the backend computing system, which is configured to encode it to a service job in a format suitable for the quantum computer to execute, and to submit the service job to the quantum computer. The quantum computer is configured to execute the service job and to provide service job results to the backend computing system, which translates them into results data and sends them to the frontend computing system.

    HYBRID QUANTUM CLASSIFICATION AND DETECTION OF ANOMALIES IN APPARATUSES AND PROCESSES

    公开(公告)号:US20220383174A1

    公开(公告)日:2022-12-01

    申请号:US17368621

    申请日:2021-07-06

    摘要: A method comprising: setting and training a plurality of classifiers for classification of data in two or more classes; defining a cost function with error functions; optimizing weighting factors associated with each classifier of the plurality of classifiers by converting the cost function into an Unconstrained Optimization problem and solving it with a Tensor Network; setting a boosted classifier based on the optimized weighting factors; solving a problem requiring classification of datapoints in a dataset in the two or more classes using the boosted classifier, the problem defining either a configuration or operation of an apparatus or system, or behavior of a process; and determining at least one of: whether a potential anomaly exists in the operation or the behavior; and a configuration of the apparatus or the system intended to at least one of improve the operation and solve the potential anomaly thereof.

    Method and System for Modifying Document Without Changing Hash Value

    公开(公告)号:US20240265195A1

    公开(公告)日:2024-08-08

    申请号:US18106555

    申请日:2023-02-07

    IPC分类号: G06F40/166 G06F16/901

    摘要: A method for modifying a variable string (330) in a document (300) and generating a required hash value, wherein the document (300) comprises the variable string (330) and a fixed string (320). The method comprises constructing (S220) a Hamiltonian based on the variable string (330), encoding (S230) the variable string (330) into a quantum circuit (310), generating in a hash function generator (350) a hash value from the fixed string (320) and the output of the quantum circuit (310), determining (S280) an overlap between the generated hash value and a true hash value (370), and, on reaching a zero overlap value, determining the variable string (330), otherwise optimising (S270) parameters of the quantum circuit (310).

    METHOD FOR GENERATING DATA INDICATIVE OF A DIGITAL TWIN

    公开(公告)号:US20240193457A1

    公开(公告)日:2024-06-13

    申请号:US18089240

    申请日:2022-12-27

    IPC分类号: G06N10/60 G06N10/40

    CPC分类号: G06N10/60 G06N10/40

    摘要: The disclosure relates to a method (100) for generating data indicative of a digital twin of a physical system (2), the method including the steps oft



    receiving (120), by at least one classical computing device (11), data acquirable from the physical system (2); and
    processing (130), by the at least one classical computing device (11), the data acquirable from the physical system (2) to provide the data indicative of the digital twin, the processing (130) comprising digitally computing a quantum-inspired algorithm.




    The disclosure also relates to a device or system adapted to execute the method, to at least one computing device configured to execute the steps of the method and to a computer program product having instructions for executing the method.

    MONITORIZATION AND FORECAST OF PAIN AND ILLNESS IN PATIENTS WITH QUANTUM COMPUTING

    公开(公告)号:US20240071620A1

    公开(公告)日:2024-02-29

    申请号:US17936974

    申请日:2022-09-30

    IPC分类号: G16H50/30 G06N10/60

    CPC分类号: G16H50/30 G06N10/60

    摘要: A method including the steps of digitally introducing data associated with at least one patient into a quantum classifier for classifying patients such that patients having a predetermined medical condition or being in risk of having the predetermined medical condition in a predetermined time span are classified into a predetermined risk group. The data includes biometrics of the at least one patient. The method further includes digitally commanding a quantum device or system to run the quantum classifier to classify the at least one patient; and digitally determining an action to be taken with respect to the at least one patient when the at least one patient has been classified into the predetermined risk group. Also, devices, systems and computer program products adapted to carry out the method are related.