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Universal Neural Network Based Calibration and Control of Programmable Classical and Quantum Photonic Integrated Processors
José Roberto Rausell-Campo, Daniele Melati, Bhavin Shastri +2
Efficient calibration and control of programmable photonic integrated circuits are fundamental for scaling quantum and classical optical computing processors. While neural network-…
Programming universal unitary transformations on a general-purpose silicon photonics platform
Jose Roberto Rausell-Campo, Daniel Pérez, López +1
General-purpose programmable photonic processors provide a versatile platform for integrating diverse functionalities on a single chip. Leveraging a two-dimensional hexagonal waveg…
Programmable Photonic Extreme Learning Machines
Jose Roberto Rausell-Campo, Antonio Hurtado, Daniel Pérez-López +1
Photonic neural networks offer a promising alternative to traditional electronic systems for machine learning accelerators due to their low latency and energy efficiency. However,…