Exciton-polariton multilayered neural networks

Exciton-polaritons are hybrid light-matter quasiparticles. Being such hybrid, they inherit the fast dynamics of light and strong nonlinearities of matter. Nonlinearity is essential for neural network models to solve high complexity tasks. Thus, excitonpolaritons are believed to be a promising platf...

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Main Author: Go, Michael
Other Authors: Liew Chi Hin Timothy
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
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Online Access:https://hdl.handle.net/10356/147857
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1478572023-02-28T23:17:54Z Exciton-polariton multilayered neural networks Go, Michael Liew Chi Hin Timothy School of Physical and Mathematical Sciences TimothyLiew@ntu.edu.sg Science::Physics::Optics and light Exciton-polaritons are hybrid light-matter quasiparticles. Being such hybrid, they inherit the fast dynamics of light and strong nonlinearities of matter. Nonlinearity is essential for neural network models to solve high complexity tasks. Thus, excitonpolaritons are believed to be a promising platform for realising high throughput neural network hardware. In this thesis, we present a theoretical scheme for multilayered neural network realization using exciton-polaritons. We then demonstrate the system’s ability to emulate multilayer perceptron and solve the nonlinear XOR problem. Bachelor of Science in Physics 2021-04-18T14:03:11Z 2021-04-18T14:03:11Z 2021 Final Year Project (FYP) Go, M. (2021). Exciton-polariton multilayered neural networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147857 https://hdl.handle.net/10356/147857 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Physics::Optics and light
spellingShingle Science::Physics::Optics and light
Go, Michael
Exciton-polariton multilayered neural networks
description Exciton-polaritons are hybrid light-matter quasiparticles. Being such hybrid, they inherit the fast dynamics of light and strong nonlinearities of matter. Nonlinearity is essential for neural network models to solve high complexity tasks. Thus, excitonpolaritons are believed to be a promising platform for realising high throughput neural network hardware. In this thesis, we present a theoretical scheme for multilayered neural network realization using exciton-polaritons. We then demonstrate the system’s ability to emulate multilayer perceptron and solve the nonlinear XOR problem.
author2 Liew Chi Hin Timothy
author_facet Liew Chi Hin Timothy
Go, Michael
format Final Year Project
author Go, Michael
author_sort Go, Michael
title Exciton-polariton multilayered neural networks
title_short Exciton-polariton multilayered neural networks
title_full Exciton-polariton multilayered neural networks
title_fullStr Exciton-polariton multilayered neural networks
title_full_unstemmed Exciton-polariton multilayered neural networks
title_sort exciton-polariton multilayered neural networks
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/147857
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