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RECONFIGURABLE SUPERCONDUCTING AND PHOTONIC TECHNOLOGIES OF THE FUTURE

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 reli... see more

28/02/2027

Single Quantum

2M€

Project Budget: 2M€

Project leader

SINGLE QUANTUM BV No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2023-03-01

HORIZON-EIC-2022-PATHFINDEROPEN-01-01: EIC Pathfinder Open 2022 Scope:You should apply to this call if you are looking for support from EIC Pathfinder Open to reali...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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Single Quantum

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Project duration: 47 months Date Start: 2023-03-01
End date: 2027-02-28

Project leader

SINGLE QUANTUM BV No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 2M€

participation deadline Sin fecha límite de participación.

Project 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 on <5 mm2). Unlike other superconducting neuromorphic technologies, our new platform will be scalable, easy to fabricate, and compatible with low-cost cryostats, high-Tc superconductors, quantum applications, and on-chip learning architectures – making it a game changer for a wide range of users and disciplines.

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