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Found 4 papers, 1 papers with code
Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach
We provide a theoretical, numerical, and experimental investigation of the Kerr nonlinearity impact on the performance of a frequency-multiplexed Extreme Learning Machine (ELM).
Deep Photonic Reservoir Computer for Speech Recognition
Speech recognition is a critical task in the field of artificial intelligence and has witnessed remarkable advancements thanks to large and complex neural networks, whose training process typically requires massive amounts of labeled data and computationally intensive operations.
Photonic reservoir computer based on frequency multiplexing
Reservoir computing is a brain inspired approach for information processing, well suited to analogue implementations.
On the extraction of spectral densities from lattice correlators
While the method is described by using the language of lattice simulations, in reality it is completely general and can profitably be used to cope with inverse problems arising in different fields of research.
High Energy Physics - Lattice Data Analysis, Statistics and Probability
