Journal of Radio Electronics. eISSN 1684-1719. 2026. №2

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DOI: https://doi.org/10.30898/1684-1719.2026.2.12

PHOTONIC TECHNOLOGIES
FOR IMPLEMENTING NEUROMORPHIC COMPUTING:
RESULTS, RESEARCH DIRECTIONS, AND AI HARDWARE

Machnev A.A.^1,2, Melnikov I.V.², Nadezhdin E.R.², Sokolov V.A.², Stupin D.D.²

¹MISIS University of Science and Technology
119049, Russia, Moscow, Leninsky Prospekt, 4, b. 1

²Moscow Institute of Physics and Technology, MIPT, Phystech
Moscow Institute of Physics and Technology (National Research University), Phystech
141700, Moscow region, Dolgoprudny, Institutskiy per., 9

The paper was received July 21, 2025.

Abstract. Making use of photonic technologies significantly transforms an entire area of high-performance computing by offering new generation of ultra-fast computing systems, overcoming limitations pertinent to traditional electronic hardware in terms of energy efficiency, parallelism, and scalability. Such unique properties of light as an ensured high throughput, low time delay, and capability of parallelizing large data arrays and streams, photonic integrated circuits (PICs) offer a promising alternative for performing complex computations having a direct impact on artificial intelligence (AI) development. This review summarizes recent advances in photonic neuromorphic architectures (analog optical computing, photonic tank computing), and provides some insight into future research.

Key words: photonics, photonic technology, high performance computing, neuromorphic computing, artificial intelligence, photonic integrated circuits, parallel computing, neural networks.

Corresponding author: Stupin Dmitry, ddstupin@yandex.ru

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For citation:

Machnev A.A., Melnikov I.V., Nadezhdin E.R., Sokolov V.A., Stupin D.D. Photonic technologies for implementing neuromorphic computing: results, research directions, and AI hardware. // Journal of Radio Electronic. – 2026. – №. 2. https://doi.org/10.30898/1684-1719.2026.2.12 (in Russian)