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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2021
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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 |
| _version_ |
1759857428614086656 |