Over its full duration, the PHOENICS project advanced the vision of photonic in-memory computing by developing a comprehensive hardware platform capable of executing high-speed, low-energy matrix and convolution operations across multiple wavelengths. The work performed from project start to completion spans the coordinated efforts of all eight technical work packages, covering hybrid integration, source and driver technology, photonic tensor cores, demultiplexing and detection, analog convolution processing, system packaging, and benchmarking & exploitation.
Overall Technical Progress
Hybrid Integration and Input Modulation (WP2)
Development of stable and CMOS-compatible hybrid integration strategies, with thermal stability confirmed under temperature cycling.
Multi-Frequency Comb Driver Technology (WP3)
Delivery of packaged InP laser systems and microresonator-based comb generators for massively parallel WDM computing.
Photonic Matrix Multiplier Development (WP4)
Design and fabrication of crossbar photonic tensor cores up to 25×25 elements with mixed-mode readout and phase-change-material MAC units.
Demultiplexing and Detection (WP5)
Realization of high-performance demultiplexer and detector arrays for WDM parallel readout.
Analog Convolution Processing (WP6)
Demonstration of analog photonic convolution engines and long-term operational stability.
System Packaging and Assembly (WP7)
Development of 3D-printed inter-chip couplers, FPGA-driven control systems, modular system enclosure, and initial characterization of final chips.
Benchmarking, Dissemination, and Exploitation (WP8)
Extensive scientific dissemination, industrial engagement, policy outreach, public education, development of a photonic computing video game, and implementation of a structured IP and exploitation strategy.
Open Science and Data Management
Commitment to FAIR principles, open access publishing, dataset sharing, and long-term archiving.
Overall Impact
PHOENICS has positioned Europe at the forefront of neuromorphic photonic computing through technological advancements, scalable prototypes, validated analog computing operations, extensive dissemination, and strong exploitation planning.