Asymmetrical performance of a laser-based reservoir computer with optoelectronic feedback
We numerically quantify the performance of a photonic reservoir computer based on a semiconductor laser subject to high-pass filtered optoelectronic feedback. We assess its memory capacity, computational ability, and performance in solving a multi-step prediction task. By analyzing the complex bifur...
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| Vydané v: | Optics letters Ročník 45; číslo 22; s. 6150 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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15.11.2020
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| ISSN: | 1539-4794, 1539-4794 |
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| Abstract | We numerically quantify the performance of a photonic reservoir computer based on a semiconductor laser subject to high-pass filtered optoelectronic feedback. We assess its memory capacity, computational ability, and performance in solving a multi-step prediction task. By analyzing the complex bifurcation landscape of the corresponding delay-differential equation model, we observe that optimal performance occurs at the edge of instability, at the onset of periodic regimes, and unveil a parity asymmetry in the performance with a slight advantage for positive over negative feedback.We numerically quantify the performance of a photonic reservoir computer based on a semiconductor laser subject to high-pass filtered optoelectronic feedback. We assess its memory capacity, computational ability, and performance in solving a multi-step prediction task. By analyzing the complex bifurcation landscape of the corresponding delay-differential equation model, we observe that optimal performance occurs at the edge of instability, at the onset of periodic regimes, and unveil a parity asymmetry in the performance with a slight advantage for positive over negative feedback. |
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| AbstractList | We numerically quantify the performance of a photonic reservoir computer based on a semiconductor laser subject to high-pass filtered optoelectronic feedback. We assess its memory capacity, computational ability, and performance in solving a multi-step prediction task. By analyzing the complex bifurcation landscape of the corresponding delay-differential equation model, we observe that optimal performance occurs at the edge of instability, at the onset of periodic regimes, and unveil a parity asymmetry in the performance with a slight advantage for positive over negative feedback.We numerically quantify the performance of a photonic reservoir computer based on a semiconductor laser subject to high-pass filtered optoelectronic feedback. We assess its memory capacity, computational ability, and performance in solving a multi-step prediction task. By analyzing the complex bifurcation landscape of the corresponding delay-differential equation model, we observe that optimal performance occurs at the edge of instability, at the onset of periodic regimes, and unveil a parity asymmetry in the performance with a slight advantage for positive over negative feedback. |
| Author | Viktorov, E A Locquet, A Dmitriev, P S Rontani, D Kovalev, A V |
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| CitedBy_id | crossref_primary_10_1103_PhysRevE_111_035313 crossref_primary_10_1364_AO_477362 crossref_primary_10_1016_j_optlastec_2025_113397 crossref_primary_10_1364_PRJ_535334 crossref_primary_10_1016_j_optcom_2021_127120 crossref_primary_10_1016_j_optlastec_2023_110465 crossref_primary_10_1016_j_optcom_2024_131225 crossref_primary_10_1109_JQE_2022_3173522 crossref_primary_10_1109_JQE_2024_3416990 crossref_primary_10_1364_AO_454422 |
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