Published February 16, 2024 | Version v1
Dataset Open

Dataset for the "The role of all-optical neural networks" Article

  • 1. ROR icon Institute of Physics
  • 2. ROR icon Center for Theoretical Physics
  • 3. ROR icon University of Warsaw
  • 4. ROR icon Ludwig-Maximilians-Universität München

Description

Dataset and codes required to reproduce the noise analysis of complex- & real-valued neural networks, as described in the article "Role of all-optical neural-networks" (https://doi.org/10.1103/PhysRevApplied.21.014028)

Codes in python require the use of cvnn library published by J. Agustin Barrachina at  https://github.com/NEGU93/cvnn/tree/v2.0 (URL)

We acknowledge support from the National Science Center, Poland under Grants No. 2019/35/N/ST3/01379, No. 2020/37/B/ST3/01657, and No. 2021/43/B/ST3/00752, and the Foundation for Polish Science (FNP).

Files

Codes_and_miscelleneous.zip

Files (2.6 GB)

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md5:71e48946d5a15a76ee0cedb2a6f172e2
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md5:1dfe2f505ab4eb10f85d29093b3d5105
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Additional details

Related works

Requires
Software: 10.5281/zenodo.4140245 (DOI)

Software

Programming language
Python