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quant-ph2026
Learning high-dimensional quantum entanglement through physics-guided neural networks
Yang Xu, Hao Zhang, Wenwen Zhang +4
High-gain spontaneous parametric down-conversion (SPDC) produces bright squeezed vacuum with rich high-dimensional entanglement, but its output is inherently multimodal and non-per…
quant-ph2024
Efficient characterization of spatial Schmidt modes of multiphoton entangled states produced from high-gain parametric down-conversion
Mahtab Amooei, Girish Kulkarni, Jeremy Upham +1
The ability to efficiently characterize the spatial correlations of entangled states of light is critical for applications of many quantum technologies such as quantum imaging. Her…