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Found 4 papers, 1 papers with code
Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering
We propose a novel, physically-constrained and differentiable approach for the generation of D-dimensional qudit states via spontaneous parametric down-conversion (SPDC) in quantum optics.
Single-Shot Optical Neural Network
As deep neural networks (DNNs) grow to solve increasingly complex problems, they are becoming limited by the latency and power consumption of existing digital processors.
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits
In addition, our method can be readily applied for controlling other degrees of freedom of light in the SPDC process, such as the spectral and temporal properties, and may even be used in condensed-matter systems having a similar interaction Hamiltonian.
Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals
We introduce a systematic approach for designing 3D nonlinear photonic crystals and pump beams for generating desired quantum correlations between structured photon-pairs.
