The paper reviews noise sources in photonic quantum machine learning, their algorithm-specific impacts on accuracy and training, and strategies for mitigation.
Hybrid discrete-and continuous-variable quantum in- formation.Nature Physics, 11(9):713–719
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.