AI RESEARCH
Evolution of Photonic Quantum Machine Learning under Noise
arXiv CS.LG
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ArXi:2603.09645v1 Announce Type: cross Photonic Quantum Machine Learning (PQML) is an emerging approach that integrates photonic quantum computing technologies with machine learning techniques to enable scalable and energy-efficient quantum information processing. Photonic systems offer advantages such as room-temperature operation, high-speed signal processing, and the ability to represent information in high-dimensional Hilbert spaces. However, noise remains a major challenge affecting the performance, reliability, and scalability of PQML implementations.