The paper reviews noise sources in photonic quantum machine learning, their algorithm-specific impacts on accuracy and training, and strategies for mitigation.
Algorithms for quantum computation: discrete loga- rithms and factoring
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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.