Experimental reservoir computing with diffractively coupled VCSELs
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913597157801984 |
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| author | Pflüger, Moritz Brunner, Daniel Heuser, Tobias Lott, James A. Reitzenstein, Stephan Fischer, Ingo |
| author_facet | Pflüger, Moritz Brunner, Daniel Heuser, Tobias Lott, James A. Reitzenstein, Stephan Fischer, Ingo |
| contents | We present experiments on reservoir computing (RC) using a network of vertical-cavity surface-emitting lasers (VCSELs) that we diffractively couple via an external cavity. Our optical reservoir computer consists of 24 physical VCSEL nodes. We evaluate the system's memory and solve the 2-bit XOR task and the 3-bit header recognition (HR) task with bit error ratios (BERs) below 1\,\% and the 2-bit digital-to-analog conversion (DAC) task with a root-mean-square error (RMSE) of 0.067. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_03206 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Experimental reservoir computing with diffractively coupled VCSELs Pflüger, Moritz Brunner, Daniel Heuser, Tobias Lott, James A. Reitzenstein, Stephan Fischer, Ingo Emerging Technologies Optics We present experiments on reservoir computing (RC) using a network of vertical-cavity surface-emitting lasers (VCSELs) that we diffractively couple via an external cavity. Our optical reservoir computer consists of 24 physical VCSEL nodes. We evaluate the system's memory and solve the 2-bit XOR task and the 3-bit header recognition (HR) task with bit error ratios (BERs) below 1\,\% and the 2-bit digital-to-analog conversion (DAC) task with a root-mean-square error (RMSE) of 0.067. |
| title | Experimental reservoir computing with diffractively coupled VCSELs |
| topic | Emerging Technologies Optics |
| url | https://arxiv.org/abs/2412.03206 |