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cs.LG2025
Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers
Andrei Chertkov, Artem Basharin, Mikhail Saygin +3
The growing demand for energy-efficient, high-performance AI systems has led to increased attention on alternative computing platforms (e.g., photonic, neuromorphic) due to their p…
quant-ph2025
Resource-efficient linear-optical generation of GHZ-like states
Suren A. Fldzhyan, Stanislav S. Straupe, Mikhail Yu. Saygin
Heralded multi-photon entanglement generation is a central bottleneck for photonic quantum computing, where resource costs typically skyrocket with target size. We explore efficien…