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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| Format: | Final Year Project |
| Language: | English |
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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 |
| Summary: | 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. |
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