Zobrazeno 1 - 10
of 846
pro vyhledávání: '"Bienstman P"'
Publikováno v:
Nanophotonics, Vol 12, Iss 5, Pp 925-935 (2022)
Photonic reservoirs are machine learning based systems that boast energy efficiency and speediness. Thus they can be deployed as optical processors in fiber communication systems to aid or replace digital signal equalization. In this paper, we simula
Externí odkaz:
https://doaj.org/article/4ea3485874844647b9a2bed2a0650758
Publikováno v:
Nanophotonics, Vol 12, Iss 5, Pp 949-961 (2022)
Photonic reservoir computing has been demonstrated to be able to solve various complex problems. Although training a reservoir computing system is much simpler compared to other neural network approaches, it still requires considerable amounts of res
Externí odkaz:
https://doaj.org/article/f8299ec6dc634956a168739dbb4b2521
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:
Hejda, Matěj, Marchesin, Federico, Papadimitriou, George, Gizopoulos, Dimitris, Charbonnier, Benoit, Orobtchouk, Régis, Bienstman, Peter, Van Vaerenbergh, Thomas, Pavanello, Fabio
In this work, we discuss our vision for neuromorphic accelerators based on integrated photonics within the framework of the Horizon Europe NEUROPULS project. Augmented integrated photonic architectures that leverage phase-change and III-V materials f
Externí odkaz:
http://arxiv.org/abs/2407.06240
Autor:
Lugnan, Alessio, Aggarwal, Samarth, Brückerhoff-Plückelmann, Frank, Wright, C. David, Pernice, Wolfram H. P., Bhaskaran, Harish, Bienstman, Peter
Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired features in hardware implementations of neural networks, because they enable them to learn, adapt and process information similarly to the way biological brains
Externí odkaz:
http://arxiv.org/abs/2312.03802
Comparison between Vernier-cascade and MZI as transducer for biosensing with on-chip spectral filter
Autor:
Martens Daan, Bienstman Peter
Publikováno v:
Nanophotonics, Vol 6, Iss 4, Pp 703-712 (2017)
The Mach-Zehnder interferometer (MZI) and the Vernier-cascade are highly responsive photonic sensors with large design freedom. They are therefore very suitable for interrogation through a broadband source and an on-chip spectral filter, a sensing sc
Externí odkaz:
https://doaj.org/article/4191050d2e594385aa329d5d8427672e
Autor:
Ma, Chonghuai, Van Kerrebrouck, Joris, Deng, Hong, Sackesyn, Stijn, Gooskens, Emmanuel, Bai, Bing, Dambre, Joni, Bienstman, Peter
Integrated photonic reservoir computing has been demonstrated to be able to tackle different problems because of its neural network nature. A key advantage of photonic reservoir computing over other neuromorphic paradigms is its straightforward reado
Externí odkaz:
http://arxiv.org/abs/2306.15845
Over the last decade, researchers have studied the synergy between quantum computing (QC) and classical machine learning (ML) algorithms. However, measurements in QC often disturb or destroy quantum states, requiring multiple repetitions of data proc
Externí odkaz:
http://arxiv.org/abs/2306.00134
Autor:
Pavanello, Fabio, Marchand, Cedric, O'Connor, Ian, Orobtchouk, Regis, Mandorlo, Fabien, Letartre, Xavier, Cueff, Sebastien, Vatajelu, Elena Ioana, Di Natale, Giorgio, Cluzel, Benoit, Coillet, Aurelien, Charbonnier, Benoit, Noe, Pierre, Kavan, Frantisek, Zoldak, Martin, Szaj, Michal, Bienstman, Peter, Van Vaerenbergh, Thomas, Ruhrmair, Ulrich, Flores, Paulo, Silva, Luis Guerra e, Chaves, Ricardo, Silveira, Luis-Miguel, Ceccato, Mariano, Gizopoulos, Dimitris, Papadimitriou, George, Karakostas, Vasileios, Brando, Axel, Cazorla, Francisco J., Canal, Ramon, Closas, Pau, Gusi-Amigo, Adria, Crovetti, Paolo, Carpegna, Alessio, Carmona, Tzamn Melendez, Di Carlo, Stefano, Savino, Alessandro
Publikováno v:
IEEE European Test Symposium 2023
This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic accelerators using augmented silicon photonics technology. Our approach aims to de
Externí odkaz:
http://arxiv.org/abs/2305.03139
Autor:
Pavanello, Fabio, Vatajelu, Elena Ioana, Bosio, Alberto, Van Vaerenbergh, Thomas, Bienstman, Peter, Charbonnier, Benoit, Carpegna, Alessio, Di Carlo, Stefano, Savino, Alessandro
Publikováno v:
2023 IEEE 41st VLSI Test Symposium (VTS)
The field of neuromorphic computing has been rapidly evolving in recent years, with an increasing focus on hardware design and reliability. This special session paper provides an overview of the recent developments in neuromorphic computing, focusing
Externí odkaz:
http://arxiv.org/abs/2305.01818