Quantum Circuitry Learning Method, Quantum Circuitry Learning System, and Quantum-Classical Hybrid Neural Network
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United States of America Patent
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Sep 26, 2024
app pub date -
Nov 6, 2023
filing date -
Mar 23, 2023
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Abstract
A quantum circuitry learning method comprising: reading an optimized parameter θ* assigned to a parameterized quantum circuitry U(θ*) of a trained first HQCNN, the first HQCNN being trained based on a first data set regarding classical data b1; transferring the parameter θ* to a second feature extraction circuitry F (b2, θ*) included in a second HQCNN; training the second HQCNN based on a second data set regarding the classical data b2 while fixing the parameter θ*, and optimizing a second parameter Φ of a parameterized quantum circuitry U(Φ) of the second HQCNN.
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