Innovating iN Smart Programmable IntegRatEd photonics
The INSPIRE project aims to develop and demonstrate programmable photonic processors (FPPGAs) for enhanced computing performance and efficiency, targeting TRL5/6 readiness with three innovative prototypes.
Projectdetails
iPronics has pioneered Field Programmable Photonic Gate Arrays (FPPGA), an entirely new class of powerful, flexible photonic processors for computing applications in the optical sphere. Unlike electronic FPGAs, they use optical interference to perform very high-speed analog operations. This delivers major increases in system performance and reduced power consumption.
Introduction
Our project INSPIRE (Innovating iN Smart Programmable IntegRatEd photonics) will make FPPGA programmable photonics available in the form of TRL5/6 demonstrators for the first time.
Technology Advancement
INSPIRE will advance our current technology readiness by increasing the number of programmable unit cells per chip and improving key performance characteristics including:
- Power consumption
- Space requirements
- Chip coupling losses
This new optical layer design is then produced in a pilot batch ready for functional tests, validation, and demonstration.
Development of Complementary Systems
We will concurrently develop the complementary electronics and software needed to drive, monitor, and program this newly developed field-programmable photonic gate arrays (FPPGAs) and involve early adopters to ensure our target specifications meet market requirements.
Prototypes for Demonstration
We will validate the potential of programmable photonics in the form of three prototypes ready for demonstration:
- A general-purpose starter kit suitable for education, R&D, and simple applications
- An RF-Photonics demonstrator designed to accelerate waveform processing in mobile communication networks
- A Photonic Computing demonstrator that will speed up data centre operations
Project Goals
We will advance beyond the current TRL4/BRL3 to at least TRL6/BRL5 by validating and demonstrating the newly developed solution with pilot users from selected verticals. The results will be used to update our business case, refine our business model, and prepare for scale-up and market entry in a follow-on project.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.453.292 |
Totale projectbegroting | € 2.453.292 |
Tijdlijn
Startdatum | 1-4-2022 |
Einddatum | 31-3-2024 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- IPRONICS PROGRAMMABLE PHOTONICS,SLpenvoerder
Land(en)
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Frequency-agile lasers for photonic sensing
FORTE aims to develop a scalable, high-performance, photonic integrated circuit-based laser technology for fiber sensing and FMCW LiDAR, enhancing manufacturing and reducing costs.
A Quantum System on Chip for equal access to secure communications: a pilot-ready photonic integrated circuit with embedded quantum key distribution functions for high-performance transceivers.
PhotonIP aims to develop a cost-effective, miniaturized Quantum System on Chip (QSoC) for mass-market quantum key distribution, ensuring secure communications across existing networks.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Non-uniform programmable integrated photonic waveguide meshesThe NP-Mesh project aims to enhance programmable photonic integrated waveguide meshes by embedding defect cells to improve flexibility and performance, leading to new intellectual property and commercialization. | ERC Proof of... | € 150.000 | 2023 | Details |
LIQuid-crystal enabled Universal Optical Reconfigurable Integrated Circuit EngineeringLIQUORICE aims to develop a programmable photonic processor for rapid prototyping in diverse applications, enhancing innovation and measurement capabilities in photonics technology. | ERC Proof of... | € 150.000 | 2022 | Details |
Large-scale Multicore Smart Photonics: Using advanced design and configuration protocols to develop the largest-scale programmable photonic processorThe project aims to develop a large-scale multicore programmable photonic processor to enhance scalability and performance in integrated photonics for complex neuromorphic computing applications. | ERC Starting... | € 1.499.325 | 2023 | Details |
Rapid Programmable Photonic Integrated CircuitsThis project aims to develop programmable photonic integrated circuits using atomically thin semiconductors for enhanced performance in speed and energy efficiency. | ERC Proof of... | € 150.000 | 2023 | Details |
Three dimensional INtegrated PhotonIcS to RevolutionizE deep LearningThis project aims to develop advanced photonic neural network processors to significantly enhance computational efficiency and scalability, revolutionizing AI hardware and applications. | ERC Consolid... | € 1.998.918 | 2022 | Details |
Non-uniform programmable integrated photonic waveguide meshes
The NP-Mesh project aims to enhance programmable photonic integrated waveguide meshes by embedding defect cells to improve flexibility and performance, leading to new intellectual property and commercialization.
LIQuid-crystal enabled Universal Optical Reconfigurable Integrated Circuit Engineering
LIQUORICE aims to develop a programmable photonic processor for rapid prototyping in diverse applications, enhancing innovation and measurement capabilities in photonics technology.
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.
Rapid Programmable Photonic Integrated Circuits
This project aims to develop programmable photonic integrated circuits using atomically thin semiconductors for enhanced performance in speed and energy efficiency.
Three dimensional INtegrated PhotonIcS to RevolutionizE deep Learning
This project aims to develop advanced photonic neural network processors to significantly enhance computational efficiency and scalability, revolutionizing AI hardware and applications.