Programmable Synapses and Dendritic Circuits for Superconducting Optoelectronic Neuromorphic Computing
Superconducting optoelectronic hardware is promising for large-scale neuromorphic computing. In this work, analog circuits combining Josephson junctions and superconducting single-photon detectors are fabricated and shown to exhibit a variety of neuromorphic functions. First, single-photon sensitive...
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| Vydáno v: | 2024 International Conference on Neuromorphic Systems (ICONS) s. 277 - 281 |
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30.07.2024
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| Abstract | Superconducting optoelectronic hardware is promising for large-scale neuromorphic computing. In this work, analog circuits combining Josephson junctions and superconducting single-photon detectors are fabricated and shown to exhibit a variety of neuromorphic functions. First, single-photon sensitive synapses are demonstrated with local programmable memory cells. The high programming speed and low programming energies of these devices make them well-suited for future implementations of online and on-chip learning. Second, dendritic circuits are presented as a first demonstration of fan-in in superconducting optoelectronic hardware. These circuits perform biologically inspired operations including spike coincidence and sequence detection that are central to both the computational abilities of dendritic arbors and plasticity operations. Together, these advances underscore the suitability of this hardware for highly parallelized on-chip learning and sophisticated neural processing. |
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| AbstractList | Superconducting optoelectronic hardware is promising for large-scale neuromorphic computing. In this work, analog circuits combining Josephson junctions and superconducting single-photon detectors are fabricated and shown to exhibit a variety of neuromorphic functions. First, single-photon sensitive synapses are demonstrated with local programmable memory cells. The high programming speed and low programming energies of these devices make them well-suited for future implementations of online and on-chip learning. Second, dendritic circuits are presented as a first demonstration of fan-in in superconducting optoelectronic hardware. These circuits perform biologically inspired operations including spike coincidence and sequence detection that are central to both the computational abilities of dendritic arbors and plasticity operations. Together, these advances underscore the suitability of this hardware for highly parallelized on-chip learning and sophisticated neural processing. |
| Author | Primavera, Bryce A. Khan, Saeed Shainline, Jeffrey M. Adler, Samuel R. |
| Author_xml | – sequence: 1 givenname: Bryce A. surname: Primavera fullname: Primavera, Bryce A. email: bryce.primavera@nist.gov organization: National Institute of Standards and Technology, University of Colorado Boulder,Boulder,Colorado,USA – sequence: 2 givenname: Saeed surname: Khan fullname: Khan, Saeed email: saeed.khan@nist.gov organization: National Institute of Standards and Technology, University of Colorado Boulder,Boulder,Colorado,USA – sequence: 3 givenname: Samuel R. surname: Adler fullname: Adler, Samuel R. email: samuel.adler@nist.gov organization: National Institute of Standards and Technology,Boulder,Colorado,USA – sequence: 4 givenname: Jeffrey M. surname: Shainline fullname: Shainline, Jeffrey M. email: jeffrey.shainline@nist.gov organization: National Institute of Standards and Technology,Boulder,Colorado,USA |
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| Snippet | Superconducting optoelectronic hardware is promising for large-scale neuromorphic computing. In this work, analog circuits combining Josephson junctions and... |
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| SubjectTerms | Computational efficiency Detectors Hardware Josephson junctions Neuromorphic engineering Optics optoelectronic Performance evaluation Programming spiking superconducting Synapses System-on-chip |
| Title | Programmable Synapses and Dendritic Circuits for Superconducting Optoelectronic Neuromorphic Computing |
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