ENTANGLEMENT-ENHANCED MACHINE LEARNING WITH QUANTUM DATA ACQUISITION

    公开(公告)号:US20210150401A1

    公开(公告)日:2021-05-20

    申请号:US16953270

    申请日:2020-11-19

    Abstract: A system for entanglement-enhanced machine learning with quantum data acquisition includes a first variational circuit that generates a plurality of entangled probe light fields that interacts with a sample and is then processed by a second variational quantum circuit to produce at least one detection light field, a detector is used to measure a property of the at least one detection light field, and the first and second variational quantum circuits are optimized though machine learning. A method for entanglement-enhanced machine learning with quantum data acquisition includes optimizing a setting of a first and second variational quantum circuits, which includes probing a training-set with a plurality of entangled probe light fields generated by the first variational quantum circuit, and measuring a phase property of at least one detection light fields generated by the second variational quantum circuit from the plurality of entangled probe light fields after interaction with the training-set.

    PROCESSING SIGNALS USING ENTANGLEMENT-ASSISTED COMMUNICATION

    公开(公告)号:US20240267131A1

    公开(公告)日:2024-08-08

    申请号:US18289884

    申请日:2022-05-19

    CPC classification number: H04B10/70 H04B10/615

    Abstract: Processing codewords comprises: receiving encoded signals associated with reference signals related by quantum entanglement, where the encoded signals have been encoded with respective phases corresponding to symbols of a particular codeword; performing a first nonlinear optical process with inputs comprising a first signal derived from the encoded signals and a first signal derived from the reference signals; performing a second nonlinear optical process with inputs comprising a second signal derived from the encoded signals and a signal derived from a first output of the first nonlinear optical process; performing a first linear optical process with inputs comprising a signal derived from a second output of the first nonlinear optical process and a signal derived from a first output of the second nonlinear optical process; and processing information that includes signals derived from one or more outputs of the first linear optical process to generate an estimate of the particular codeword.

    Quantum receiver and method for decoding an optical signal

    公开(公告)号:US11258519B2

    公开(公告)日:2022-02-22

    申请号:US17190250

    申请日:2021-03-02

    Abstract: A quantum receiver for decoding an optical signal includes a beamsplitter for interfering the optical signal with a local-oscillator field to generate a displaced field, and a single-photon detector for detecting the displaced field. The quantum receiver also includes a signal-processing circuit for determining, based on an electrical output of the single-photon detector, a measurement outcome. The signal-processing circuit also determines, based on the measurement outcome and a feed-forward machine-learning model, a next displacement. The quantum receiver also includes at least one modulator for modulating, based on the next displacement, one or both of the optical signal and the local-oscillator field. Like a Dolinar receiver, the quantum receiver implements adaptive measurements to reduce the error probability of the decoded symbol. The use of machine-learning reduces the latency of the signal-processing circuit, thereby increasing the number of measurements that may be performed for each received symbol.

    QUANTUM RECEIVER AND METHOD FOR DECODING AN OPTICAL SIGNAL

    公开(公告)号:US20210273731A1

    公开(公告)日:2021-09-02

    申请号:US17190250

    申请日:2021-03-02

    Abstract: A quantum receiver for decoding an optical signal includes a beamsplitter for interfering the optical signal with a local-oscillator field to generate a displaced field, and a single-photon detector for detecting the displaced field. The quantum receiver also includes a signal-processing circuit for determining, based on an electrical output of the single-photon detector, a measurement outcome. The signal-processing circuit also determines, based on the measurement outcome and a feed-forward machine-learning model, a next displacement. The quantum receiver also includes at least one modulator for modulating, based on the next displacement, one or both of the optical signal and the local-oscillator field. Like a Dolinar receiver, the quantum receiver implements adaptive measurements to reduce the error probability of the decoded symbol. The use of machine-learning reduces the latency of the signal-processing circuit, thereby increasing the number of measurements that may be performed for each received symbol.

    Entanglement-enhanced machine learning with quantum data acquisition

    公开(公告)号:US12067456B2

    公开(公告)日:2024-08-20

    申请号:US16953270

    申请日:2020-11-19

    CPC classification number: G06N10/00 G06N20/00

    Abstract: A system for entanglement-enhanced machine learning with quantum data acquisition includes a first variational circuit that generates a plurality of entangled probe light fields that interacts with a sample and is then processed by a second variational quantum circuit to produce at least one detection light field, a detector is used to measure a property of the at least one detection light field, and the first and second variational quantum circuits are optimized though machine learning. A method for entanglement-enhanced machine learning with quantum data acquisition includes optimizing a setting of a first and second variational quantum circuits, which includes probing a training-set with a plurality of entangled probe light fields generated by the first variational quantum circuit, and measuring a phase property of at least one detection light fields generated by the second variational quantum circuit from the plurality of entangled probe light fields after interaction with the training-set.

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