Addressing optical modulator non-linearities for photonic neural networks

被引：0
作者：
Peter Seigo Kincaid [1 ]
Nicola Andriolli [2 ]
Giampiero Contestabile [1 ]
Lorenzo De Marinis [1 ]
机构：
[1] Scuola Superiore Sant’Anna, Via G. Moruzzi 1, Pisa
[2] Department of Information Engineering, University of Pisa, Via G. Caruso 16, Pisa
来源：
Communications Engineering | / 4卷 / 1期
关键词：
D O I：
10.1038/s44172-025-00395-5
中图分类号：
学科分类号：
摘要：
Within the context of neuromorphic computing, analog photonics, especially after the advent of photonic integrated technologies, offers unparalleled computing speeds per core, and the reduction of size and power consumption compared to digital electronics. However, the functionality of analog systems is limited by noise and non-linear distortions, which degrade signal resolution. Here, a method is presented for analyzing and minimizing the effect of non-linearities associated with the optical power transfer function of a generic modulator, to inform choices of design and operation conditions. The Mach-Zehnder interferometer, micro-ring modulator, and ring-assisted Mach-Zehnder interferometer are compared using this method. The analysis is applied to compare three analog photonic processor architectures for machine learning applications, based on wavelength, space, and time division multiplexing. Our results indicate that despite the lower maximum resolution exhibited by Mach-Zehnder interferometers, they are the most balanced choice for space and time division multiplexing architectures due to stability and power consumption. © The Author(s) 2025.
引用
收藏
相关论文
共 49 条
  • [1] Marpaung D.A.I.H.D.R.A.P.L., design and implementation, (2009)
  • [2] Rommel S., Et al., Towards a Scaleable 5G Fronthaul: Analog Radio-over-Fiber and Space Division Multiplexing, J. Lightwave Technol, 38, pp. 5412-5422, (2020)
  • [3] Marpaung D., Yao J., Capmany J., Integrated microwave photonics, Nat. Photonics, 13, pp. 80-90, (2019)
  • [4] Perez D., Gasulla I., Capmany J., Toward Programmable Microwave Photonics Processors, J. Lightwave Technol, 36, pp. 519-532, (2018)
  • [5] Ghelfi P., Et al., A fully photonics-based coherent radar system, Nature, 507, pp. 341-345, (2014)
  • [6] Sawchuk A., Strand T., Digital optical computing, Proc. IEEE, 72, pp. 758-779, (1984)
  • [7] Jiao S., Et al., All-optical logic gate computing for high-speed parallel information processing, Opto-Electron. Sci, 1, (2022)
  • [8] McMahon P.L., The physics of optical computing, Nat. Rev. Phys, 5, pp. 717-734, (2023)
  • [9] Liang W., Et al., High spectral purity Kerr frequency comb radio frequency photonic oscillator, Nat. Commun, 6, (2015)
  • [10] Totovic A.R., Dabos G., Passalis N., Tefas A., Pleros N., Femtojoule per MAC neuromorphic photonics: an energy and technology roadmap, IEEE J. Sel. Top. Quantum Electron, 26, pp. 1-15, (2020)
12345