News and Views on Nature Photonics by Claudio Conti and Eugenio Del Re
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Category: Our experiments
Our Replica Symmetry Breaking experiments in the motivations of the Nobel Prize to Giorgio Parisi !!!
The main goal of the Light and Complexity project (ERC StG 2007) was to observe replica symmetry breaking (a process predicted by Giorgio Parisi) in random lasers and nonlinear waves.
After our successful experiments in 2015 and 2017, the results are now cited in the motivations of the 2021 Nobel Prize to Giorgio Parisi !
https://www.nobelprize.org/uploads/2021/10/sciback_fy_en_21.pdf
See also
Corriere della Sera on the Photonic Extreme Learning Machine
Il Messaggero on the Photonic Extreme Learning Machine
Photonic extreme learning machine by free-space optical propagation
Photonic brain-inspired platforms are emerging as novel analog computing devices, enabling fast and energy-efficient operations for machine learning. These artificial neural networks generally require tailored optical elements, such as integrated photonic circuits, engineered diffractive layers, nanophotonic materials, or time-delay schemes, which are challenging to train or stabilize. Here we present a neuromorphic photonic scheme – photonic extreme learning machines – that can be implemented simply by using an optical encoder and coherent wave propagation in free space. We realize the concept through spatial light modulation of a laser beam, with the far field that acts as feature mapping space. We experimentally demonstrated learning from data on various classification and regression tasks, achieving accuracies comparable to digital extreme learning machines. Our findings point out an optical machine learning device that is easy-to-train, energetically efficient, scalable and fabrication-constraint free. The scheme can be generalized to a plethora of photonic systems, opening the route to real-time neuromorphic processing of optical data.