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    MACHINE LEARNING FOR SYNCING MULTIPLE FPGA PORTS IN A QUANTUM SYSTEM
    6.
    发明公开
    MACHINE LEARNING FOR SYNCING MULTIPLE FPGA PORTS IN A QUANTUM SYSTEM 审中-公开

    公开(公告)号：EP4220204A1

    公开(公告)日：2023-08-02

    申请号：EP23153085.8

    申请日：2023-01-24

    申请人： Quantum Machines

    发明人： ZVI, Avishai ,  WEBER, Ori ,  OFEK, Nissim

    IPC分类号： G01R31/317 ,  G01R31/3167 ,  G06N10/00

    摘要： In a quantum computer, quantum algorithms are performed by a qubit interacting with multiple quantum control pulses. The quantum control pulses are electromagnetic RF signals that are generated digitally at baseband and sent, via asynchronous ports, to DACs that feed an RF upconversion circuit. For synchronization, each asynchronous port is coupled to a multi-tap delay line. The setting of the multi-tap delay line is determined by a function of the port's setup-and-hold time. This function is trained, via machine learning, to be applicable across a variety of ports.