The paper reviews noise sources in photonic quantum machine learning, their algorithm-specific impacts on accuracy and training, and strategies for mitigation.
Power monitoring in a feedforward photonic net- work using two output detectors.Nanophotonics, 12(5):985–991
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Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning
The paper reviews noise sources in photonic quantum machine learning, their algorithm-specific impacts on accuracy and training, and strategies for mitigation.