التفاصيل البيبلوغرافية
| العنوان: |
Data repository of the paper 'Quantum-noise-limited optical neural networks operating at a few quanta per activation' |
| المؤلفون: |
Ma, Shi-Yuan, Wang, Tianyu, Laydevant, Jeremie, Wright, Logan G., McMahon, Peter L. |
| بيانات النشر: |
Zenodo |
| سنة النشر: |
2023 |
| المجموعة: |
Zenodo |
| مصطلحات موضوعية: |
Optical Neural Networks, Photonic Neural Networks, Physical Neural Networks, Machine Learning, Emerging Technologies, Probabilistic Computing, Stochastic Computing |
| الوصف: |
This data repository includes the requisite data and code for deriving the primary results from the paper, "Quantum-noise-limited optical neural networks operating at a few quanta per activation". The repository is structured to provide everything needed to reproduce the figures included in the main manuscript, along with the source code for training the neural network models and the collected experimental data mentioned in the paper. Thecode in this repository is primarily intended for reproducing the results discussed in the paper. Those interested in developing their own applications may refer to our Github repository: https://github.com/mcmahon-lab/Single-Photon-Detection-Neural-Networks. Where to Start The directory 'main_figures' includes Jupyter notebooks to generate each panel in Figure 3 and Figure 4 in the main text, using the data from the directory 'results', which can be generated by notebooks in the directory 'test'. The simulations, experiments, and figure generation were all conducted in Python. As certain parts of the code require specific versions of Python packages, the necessary packages are listed in the 'requirements.txt' file. For more information, please refer to 'README.txt'. |
| نوع الوثيقة: |
other/unknown material |
| اللغة: |
English |
| Relation: |
https://doi.org/10.5281/zenodo.8188269; https://doi.org/10.5281/zenodo.8188270; oai:zenodo.org:8188270 |
| DOI: |
10.5281/zenodo.8188270 |
| الاتاحة: |
https://doi.org/10.5281/zenodo.8188270 |
| Rights: |
info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: |
edsbas.3106BC50 |
| قاعدة البيانات: |
BASE |