Data repository of the paper "An optical neural network using less than 1 photon per multiplication".

This repository contains the data and code necessary to derive the main results of the paper “An optical neural network using less than 1 photon per multiplication”. It includes the datasets generated during the characterization of dot-product accuracy (Figure 2) and the execution of the ONN using different photon budgets (Figure 3), along with the code used to analyze them. Besides, the codes for training the neural network model and collecting data in the experimental setup are also included.

The scripts and data in "Figure 2.zip" ("Figure 3.zip") were used to generate Figure 2 (Figure 3) in the main manuscript. 

"ONN-device-control.zip" contains the device control codes in the experiments for data collection, available at https://github.com/mcmahon-lab/ONN-device-control.

"ONN-QAT-SQL.zip" contains the trained model and training scripts (Python 3.8.3, PyTorch version 1.7.0, torchvision version 0.8.1) for the neural network executed in the experiment, available at https://github.com/mcmahon-lab/ONN-QAT-SQL.

For more details, please refer to the README files in the root directory and each separate folder.