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Coherent Microcomb-enabled Integrated Photonic Convolution Engine for Energy-Efficient AI

Project description

Scalable photonic solutions for AI systems

Future AI hardware development lies in harnessing light. Unlike traditional electronic processors that struggle with energy efficiency and bandwidth limitations, photonic integrated circuits use light to process information, offering higher speeds and reduced energy consumption. With the support of the Marie Skłodowska-Curie Actions programme, the CoMiPCE project aims to develop a photonic convolution engine on silicon. The system will integrate advanced photonic technologies, including microcombs for generating high-bandwidth light, programmable spectral shapers for encoding weights, ultrafast modulators for data processing and waveguides for efficient signal delay and amplification. These components will be combined through hybrid and heterogeneous integration. This innovative approach will offer unparalleled scalability and performance, paving the way for next-generation AI systems that overcome the limitations of traditional electronics.

Objective

With rapid advances of artificial intelligence (AI), conventional electronic processors are constrained by bandwidth and energy efficiency in the post-Moore era, increasingly struggle to serve large-scale, high-concurrency AI tasks within the existing von Neumann-based framework. Leveraging the inherently high bandwidth, multiple dimensions, low latency, and superior energy-efficiency of light, photonic integrated circuits (PICs), on the other hand, are promising to provide a compelling pathway for advanced AI models. To achieve this goal, the main objective of the CoMiPCE research action is to realize a fully integrated photonic convolution engine (PCE) on a scalable silicon platform by combining best‑in‑class devices and processes through hybrid and heterogeneous integration. The CoMiPCE heterogeneously integrates a diverse set of photonic devices on silicon substrates, and co-integrates them with silicon PICs through hybrid packaging to build a fully integrated PCE system, targeting remarkable throughput and energy-efficiency for AI workloads, in which the convolution operator is implemented via composite time-phase-frequency-polarization encoding based on high-speed coherent microcomb modulation. The CoMiPCE addresses the bandwidth and energy efficiency of electronic accelerators by consolidating hybrid integrated silicon nitride self-injection-locking (SIL) microcomb, programmable silicon nitride weight spectral shaping, ultrafast coherent heterogeneous lithium tantalate modulation, erbium-doped silicon nitride waveguide dispersive delay with amplification, as well as coherent silicon PIC accumulation detection, into the full-chain hybrid integrated system. Collectively, the CoMiPCE will introduce coherent SIL microcomb source, hyper-dimensional encoding, high-speed analog computation, to deliver a fully integrated, highly parallel and scalable PCE for next‑generation energy-efficient AI hardware.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Net EU contribution
€ 292 118,88
Address
BATIMENT CE 3316 STATION 1
1015 Lausanne
Switzerland
Region
Schweiz/Suisse/Svizzera Région lémanique Vaud
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data