Roadmap on Neuromorphic Photonics
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2025-01-14
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The neuromorphic photonics field lacks systematic technical guidance and an interdisciplinary collaborative framework. Method: This study establishes, for the first time, a full-stack roadmap spanning materials, devices, architectures, and algorithms; introduces a cross-scale co-design methodology and a standardized evaluation framework; and integrates key technologiesâincluding integrated photonic chips, spiking photonic neuron modeling, optoelectronic hybrid synapses, and event-driven optical signal processing. Contribution/Results: The work bridges disciplinary gaps across optics, neuroscience, electronic engineering, and computer science, establishing an internationally consensual technical paradigm. Its outcomes have enabled experimental validation of three prototype systems and catalyzed dedicated national research initiatives in multiple countries, significantly accelerating engineering deployment and ecosystem development in this interdisciplinary domain.
Application Category
đ Abstract
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the critical role of cross-disciplinary collaboration in this rapidly evolving field.
Problem
Research questions and friction points this paper is trying to address.
Neuromorphic Photonics
Interdisciplinary Collaboration
Learning Strategies
Innovation
Methods, ideas, or system contributions that make the work stand out.
Neuromorphic Photonics
Interdisciplinary Collaboration
Brain-inspired Concepts
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Mohammed A. Al Qadasi
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H. Ballani
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Stefano Biasi
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Simon Bilodeau
Princeton University, NJ, USA
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Wim Bogaerts
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Fabian Bohm
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B. Canakci
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BenoĂźt Charbonnier
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Mario Chemnitz
Institute of Solid State Electronics, TU Ilmenau, Germany
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Jeff Chiles
National Institute of Standards and Technology, Boulder, CO, USA
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Suyeon Choi
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Demetrios N. Christodoulides
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Claudio Conti
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Qionghai Dai
Tsinghua University, Beijing, China
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Luigi Di Lauro
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Nikolaos-Panteleimon Diamantopoulos
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Niyazi UlaĆ Dinç
Istanbul Technical University, Turkey
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Jacob Ewaniuk
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Lu Fang
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Riccardo Franchi
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Pedro J. Freire
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Silvia Gentilini
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Elena Goi
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Zhejiang University, Hangzhou, China
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Matvej Hejda
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F. Horst
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Jih-Liang Hsieh
National Taiwan University, Taipei, Taiwan
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Massachusetts Institute of Technology, MA, USA
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University of Texas at Austin, TX, USA
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Gordon H. Y. Li
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Alessandro Lupo
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