SubsidieMeestersNano electro-optomechanical programmable integrated circuits
NEUROPIC aims to develop a programmable photonic chip architecture for diverse applications, leveraging nanoelectromechanical technologies to enhance efficiency and enable neuromorphic computing.
Projectdetails
Introduction
NEUROPIC will design, build, measure, and explore a novel programmable photonic chip architecture with transformational impact potential on photonics for data centers, autonomous vehicles, quantum information processors, and much more.
Programmability Exploration
We will explore and pioneer programmability of large-scale photonic circuits using nanoelectromechanical technologies, which benefit from ultralow power consumption, compact footprint, and potentially faster operation than existing approaches. Building on very recent breakthroughs from the consortium partners, the nanotechnology is now in place to begin the exploration of programmable photonic chips scaled to thousands of programmable nodes.
Main Objectives
The main objectives range from:
- Sustainable and high-performance silicon nanomachining
- Establishing a scalable platform for ultralow-power nanoelectromechanical programmable silicon photonics
- Massively parallel optical interconnects
Our final goal is to use the network of independent and fully controllable nodes for neuromorphic computing to quantify the role of complexity for artificial intelligence.
Synergy and Impact
The objectives present a strong mutual synergy, scientific impact, and sustainability, and set the foundations for four highly attractive business cases with complementary profiles in terms of risk and market size.
Addressing Challenges
NEUROPIC is therefore designed to address the fundamental scientific and technological questions of today, whose answers hold potential for very large commercial impact in the future. Our quest comes with a new set of challenges and calls for a radically new approach to photonics.
Collaboration
NEUROPIC unites some of the world's leading researchers and companies in nanotechnology, photonics, advanced manufacturing, and complex systems in a risky and highly interdisciplinary research project with the ambition of founding a new paradigm of programmable silicon photonics.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.999.924 |
| Totale projectbegroting | € 2.999.925 |
Tijdlijn
| Startdatum | 1-3-2023 |
| Einddatum | 28-2-2027 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICASpenvoerder
- DANMARKS TEKNISKE UNIVERSITET
- BEAMFOX TECHNOLOGIES APS
- UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK
- FICONTEC SERVICE GMBH
- FUNDACIO INSTITUT CATALA DE NANOCIENCIA I NANOTECNOLOGIA
- INTERNATIONAL IBERIAN NANOTECHNOLOGY LABORATORY
Land(en)
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|---|---|---|---|---|
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Insect-Brain inspired Neuromorphic Nanophotonics
Developing nanophotonic chips inspired by insect brains for energy-efficient autonomous navigation and neuromorphic computing, integrating sensing and processing capabilities.
Neuromorphic computing Enabled by Heavily doped semiconductor Optics
NEHO aims to create a novel photonic integrated circuit for ultrafast, low-energy neuromorphic processing using nonlinear photon-plasmon technology to enhance machine learning capabilities.
RECONFIGURABLE SUPERCONDUTING AND PHOTONIC TECHNOLOGIES OF THE FUTURE
RESPITE aims to develop a compact, scalable neuromorphic computing platform integrating vision and cognition on a single chip using superconducting technologies for ultra-low power and high performance.
SPIKING PHOTONIC-ELECTRONIC IC FOR QUICK AND EFFICIENT PROCESSING
SPIKEPro aims to develop an integrated neuromorphic chip combining electrical and photonic neurons to create efficient, high-speed spiking neural networks for diverse applications.
Hybrid electronic-photonic architectures for brain-inspired computing
HYBRAIN aims to develop a brain-inspired hybrid architecture combining integrated photonics and unconventional electronics for ultrafast, energy-efficient edge AI inference.
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Large-scale Multicore Smart Photonics: Using advanced design and configuration protocols to develop the largest-scale programmable photonic processor
The project aims to develop a large-scale multicore programmable photonic processor to enhance scalability and performance in integrated photonics for complex neuromorphic computing applications.
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This project aims to develop programmable photonic integrated circuits using atomically thin semiconductors for enhanced performance in speed and energy efficiency.
III-V seMiconductor on sILicon nano opticaL amplIfier for signal regenerAtion and coMPuting
MILLIAMP aims to develop compact, low-power semiconductor optical amplifiers for on-chip communications and neuromorphic computing, while establishing a startup and strengthening intellectual property.