Summary
Computing with light using integrated optics has seen huge progress over the last 3-4 years in multiple fields such as neuromorphic computing, quantum computing and on-chip data storage. This has created a vast ecosystem that relies on high-speed reconfigurations of nanophotonic circuits (such as their use as synapses or routing applications) and ultrafast yet high-resolution, low-power photodetection. Currently, it is impossible to combine all these functionalities into an integrated platform that fits onto a single chip. In RESPITE, by utilizing our newly invented superconducting Joule switches as neurons, multi-level phase change memory elements as synaptic weights, and superconducting single-photon detector arrays as retina we will demonstrate a novel platform which combines vision and cognition on a single chip. This new platform will allow in-sensor neuromorphic computing with unprecedented performance levels. The platform will have attoJoule switching power consumption, sub-nanosecond latency, and high compactness (3000 neurons and >100K synapses on
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/101098717 |
Start date: | 01-03-2023 |
End date: | 28-02-2027 |
Total budget - Public funding: | 2 455 823,25 Euro - 2 455 823,00 Euro |
Cordis data
Original description
Computing with light using integrated optics has seen huge progress over the last 3-4 years in multiple fields such as neuromorphic computing, quantum computing and on-chip data storage. This has created a vast ecosystem that relies on high-speed reconfigurations of nanophotonic circuits (such as their use as synapses or routing applications) and ultrafast yet high-resolution, low-power photodetection. Currently, it is impossible to combine all these functionalities into an integrated platform that fits onto a single chip. In RESPITE, by utilizing our newly invented superconducting Joule switches as neurons, multi-level phase change memory elements as synaptic weights, and superconducting single-photon detector arrays as retina we will demonstrate a novel platform which combines vision and cognition on a single chip. This new platform will allow in-sensor neuromorphic computing with unprecedented performance levels. The platform will have attoJoule switching power consumption, sub-nanosecond latency, and high compactness (3000 neurons and >100K synapses onStatus
SIGNEDCall topic
HORIZON-EIC-2022-PATHFINDEROPEN-01-01Update Date
31-07-2023
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