Noise effects on time delay reservoir computing using silicon microring resonators
Time-delay Reservoir Computing (TRC) are neural networks which thanks to their hardware simplicity are suited for photonic implementation. Here, we numerically investigated and experimentally tested a TRC based on a nonlinear single silicon microring resonator (MRR) coupled to an optical fibre loop...
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Format | Conference Proceeding |
Language | English |
Published |
SPIE
05.03.2022
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Online Access | Get full text |
ISBN | 1510648798 9781510648791 |
ISSN | 0277-786X |
DOI | 10.1117/12.2609056 |
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Abstract | Time-delay Reservoir Computing (TRC) are neural networks which thanks to their hardware simplicity are suited for photonic implementation. Here, we numerically investigated and experimentally tested a TRC based on a nonlinear single silicon microring resonator (MRR) coupled to an optical fibre loop which provides an external tuneable optical feedback. The work is inspired by the key role that MRRs demonstrate in integrated optical devices, together with the significant advantage they provide due to their fully passive nonlinearity. Insights about the computational properties of the system are provided as a result of the performance on multiple benchmark tasks. |
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AbstractList | Time-delay Reservoir Computing (TRC) are neural networks which thanks to their hardware simplicity are suited for photonic implementation. Here, we numerically investigated and experimentally tested a TRC based on a nonlinear single silicon microring resonator (MRR) coupled to an optical fibre loop which provides an external tuneable optical feedback. The work is inspired by the key role that MRRs demonstrate in integrated optical devices, together with the significant advantage they provide due to their fully passive nonlinearity. Insights about the computational properties of the system are provided as a result of the performance on multiple benchmark tasks. |
Author | Pavesi, Lorenzo Mancinelli, Mattia Donati, Giovanni Mirasso, Claudio R. Argyris, Apostolos |
Author_xml | – sequence: 1 givenname: Giovanni surname: Donati fullname: Donati, Giovanni organization: IFISC (Spain) – sequence: 2 givenname: Apostolos surname: Argyris fullname: Argyris, Apostolos organization: IFISC (Spain) – sequence: 3 givenname: Claudio R. surname: Mirasso fullname: Mirasso, Claudio R. organization: IFISC (Spain) – sequence: 4 givenname: Mattia surname: Mancinelli fullname: Mancinelli, Mattia organization: Univ. degli Studi di Trento (Italy) – sequence: 5 givenname: Lorenzo surname: Pavesi fullname: Pavesi, Lorenzo organization: Univ. degli Studi di Trento (Italy) |
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DOI | 10.1117/12.2609056 |
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Editor | Cheben, Pavel García-Blanco, Sonia M. |
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Notes | Conference Date: 2022-01-22|2022-02-28 Conference Location: San Francisco, California, United States |
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Snippet | Time-delay Reservoir Computing (TRC) are neural networks which thanks to their hardware simplicity are suited for photonic implementation. Here, we numerically... |
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Title | Noise effects on time delay reservoir computing using silicon microring resonators |
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