Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Lott James A."'
Autor:
Pflüger, Moritz, Brunner, Daniel, Heuser, Tobias, Lott, James A., Reitzenstein, Stephan, Fischer, Ingo
Publikováno v:
Optics Letters 49, 2285 (2024)
We present experiments on reservoir computing (RC) using a network of vertical-cavity surface-emitting lasers (VCSELs) that we diffractively couple via an external cavity. Our optical reservoir computer consists of 24 physical VCSEL nodes. We evaluat
Externí odkaz:
http://arxiv.org/abs/2412.03206
Autor:
Skalli, Anas, Goldmann, Mirko, Haghighi, Nasibeh, Reitzenstein, Stephan, Lott, James A., Brunner, Daniel
Artificial neural networks (ANNs) represent a fundamentally connectionnist and distributed approach to computing, and as such they differ from classical computers that utilize the von Neumann architecture. This has revived research interest in new un
Externí odkaz:
http://arxiv.org/abs/2409.01042
Autor:
Czyszanowski Tomasz, Gębski Marcin, Pruszyńska-Karbownik Emilia, Wasiak Michał, Lott James A.
Publikováno v:
Nanophotonics, Vol 9, Iss 4, Pp 913-925 (2020)
Semiconductor planar microcavities significantly enhance the interaction between light and matter and are thus crucial as a fundamental research platform for investigations of quantum information processing, quantum dynamics, and exciton-polariton ob
Externí odkaz:
https://doaj.org/article/c9ca5a4592f141678ff87a428922b679
Autor:
Skalli Anas, Goldmann Mirko, Porte Xavier, Haghighi Nasibeh, Reitzenstein Stephan, Lott James A., Brunner Daniel
Publikováno v:
EPJ Web of Conferences, Vol 287, p 13008 (2023)
We experimentally demonstrate an autonomous, fully tuneable and scalable neural network of 350+ parallel nodes based on a large area, multimode semiconductor laser. We implement online learning strategies based on reinforcement learning. Our system a
Externí odkaz:
https://doaj.org/article/08c76dfbfdc849f9821e066bcfaf80b3
Autor:
Pieczarka, Maciej, Gębski, Marcin, Piasecka, Aleksandra N., Lott, James A., Pelster, Axel, Wasiak, Michał, Czyszanowski, Tomasz
Many bosons can occupy a single quantum state without a limit. This state is described by quantum-mechanical Bose-Einstein statistics, which allows the formation of a Bose-Einstein condensate at low temperatures and high particle densities. Photons,
Externí odkaz:
http://arxiv.org/abs/2307.00081
Autor:
Pflüger, Moritz, Brunner, Daniel, Heuser, Tobias, Lott, James A., Reitzenstein, Stephan, Fischer, Ingo
Networks of optically coupled semiconductor lasers are of high interest for fundamental investigations and for enabling numerous technological applications in material processing, lighting and information processing. Still, experimental realizations
Externí odkaz:
http://arxiv.org/abs/2208.09765
Autor:
Chen, Zaijun, Sludds, Alexander, Davis, Ronald, Christen, Ian, Bernstein, Liane, Heuser, Tobias, Heermeier, Niels, Lott, James A., Reitzenstein, Stephan, Hamerly, Ryan, Englund, Dirk
Deep neural networks (DNNs) are reshaping the field of information processing. With their exponential growth challenging existing electronic hardware, optical neural networks (ONNs) are emerging to process DNN tasks in the optical domain with high cl
Externí odkaz:
http://arxiv.org/abs/2207.05329
Autor:
Skalli, Anas, Porte, Xavier, Haghighi, Nasibeh, Reitzenstein, Stephan, Lott, James A., Brunner, D.
Artificial neural networks have become a staple computing technique in many fields. Yet, they present fundamental differences with classical computing hardware in the way they process information. Photonic implementations of neural network architectu
Externí odkaz:
http://arxiv.org/abs/2112.08947
Autor:
Porte, Xavier, Skalli, Anas, Haghighi, Nasibeh, Reitzenstein, Stephan, Lott, James A., Brunner, Daniel
Neural networks are one of the disruptive computing concepts of our time. However, they fundamentally differ from classical, algorithmic computing in a number of fundamental aspects. These differences result in equally fundamental, severe and relevan
Externí odkaz:
http://arxiv.org/abs/2012.11153
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