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pro vyhledávání: '"Biasi, Stefano A"'
Autor:
Biasi, Stefano, Foradori, Alessandro, Franchi, Riccardo, Lugnan, Alessio, Bienstman, Peter, Pavesi, Lorenzo
While biological neurons ensure unidirectional signalling, scalable integrated photonic neurons, such as silicon microresonators, respond the same way regardless of excitation direction due to the Lorentz reciprocity principle. Here, we show that a n
Externí odkaz:
http://arxiv.org/abs/2410.03257
Autor:
Biasi, Stefano, Donati, Giovanni, Lugnan, Alessio, Mancinelli, Mattia, Staffoli, Emiliano, Pavesi, Lorenzo
Publikováno v:
Intelligent Computing 30 Nov 2023
The recent progress of artificial intelligence (AI) has boosted the computational possibilities in fields where standard computers are not able to perform. The AI paradigm is to emulate human intelligence and therefore breaks the familiar architectur
Externí odkaz:
http://arxiv.org/abs/2306.04779
Publikováno v:
APL Photonics 1 September 2023; 8 (9): 096105
Machine learning technologies have found fertile ground in optics due to its promising features based on speed and parallelism. Feed-forward neural networks are one of the most widely used machine learning algorithms due to their simplicity and unive
Externí odkaz:
http://arxiv.org/abs/2305.03066
Autor:
Staffoli, Emiliano, Bazzanella, Davide, Biasi, Stefano, Donati, Giovanni, Mancinelli, Mattia, Bettotti, Paolo, Pavesi, Lorenzo
Nowadays, Information Photonics is extensively studied and sees applications in many fields. The interest in this breakthrough technology is mainly stimulated by the possibility of achieving real-time data processing for high-bandwidth applications,
Externí odkaz:
http://arxiv.org/abs/2302.10203
Publikováno v:
APL Photonics 1 May 2023; 8 (5): 056111
Exceptional points, where eigenvalues and eigenvectors coalesce, impact the behavior of different photonics components that show, e.g., enhanced sensing, coherent perfect absorption, unidirectional lasing, and chirality. However, only a few passive g
Externí odkaz:
http://arxiv.org/abs/2302.01108
Publikováno v:
Optics Letters (2022)
Microresonators (MRs) are key components in integrated optics. As a result, the estimation of their energy storage capacity as measured by the quality factor (Q) is crucial. However, in MR with high/ultra-high Q, the surface-wall roughness dominates
Externí odkaz:
http://arxiv.org/abs/2206.08123
Publikováno v:
Journal of Lightwave Technology, vol. 40, no. 17, pp. 5917-5926, 1 Sept.1, 2022
The nonlinear response of an optical microresonator is used in a time multiplexed reservoir computing neural network. Within a virtual node approach combined with an offline training through ridge regression, we solved linear and nonlinear logic oper
Externí odkaz:
http://arxiv.org/abs/2203.07045
Publikováno v:
Photonics Research, 2022, 10(4):1134
Non-Hermitian physics has found a fertile ground in optics. Recently, the study of mode degeneracies, i.e. exceptional points, has led to the discovery of intriguing and counterintuitive phenomena. Degeneracies are typically modeled through the coupl
Externí odkaz:
http://arxiv.org/abs/2112.03681
Autor:
Franchi, Riccardo, Biasi, Stefano, Heras, Alberto Muñoz de las, Ghulinyan, Mher, Carusotto, Iacopo, Pavesi, Lorenzo
Publikováno v:
Optics Express 29, 29615-29630 (2021)
We study the linear and nonlinear response of a unidirectional reflector where a nonlinear breaking of the Lorentz reciprocity is observed. The device under test consists of a racetrack microresonator, with an embedded S-shaped waveguide, coupled to
Externí odkaz:
http://arxiv.org/abs/2106.09649
Publikováno v:
Sci Rep 11, 15642 (2021)
Photonic implementations of reservoir computing (RC) promise to reach ultra-high bandwidth of operation with moderate training efforts. Several optoelectronic demonstrations reported state of the art performances for hard tasks as speech recognition,
Externí odkaz:
http://arxiv.org/abs/2101.01664