Optimization of a Hydrodynamic Computational Reservoir through Evolution

1 code implementation • 20 Apr 2023 • Alessandro Pierro, Kristine Heiney, Shamit Shrivastava, Giulia Marcucci, Stefano Nichele

In this study, we interface with a model of a hydrodynamic system, under development by a startup, as a computational reservoir and optimize its properties using an evolution in materio approach.

Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons

no code implementations • 15 Dec 2019 • Giulia Marcucci, Davide Pierangeli, Claudio Conti

We study artificial neural networks with nonlinear waves as a computing reservoir.

BIG-bench Machine Learning Combinatorial Optimization

Programming multi-level quantum gates in disordered computing reservoirs via machine learning and TensorFlow

1 code implementation • 13 May 2019 • Giulia Marcucci, Davide Pierangeli, Pepijn Pinkse, Mehul Malik, Claudio Conti

Novel machine learning computational tools open new perspectives for quantum information systems.

BIG-bench Machine Learning