Published March 27, 2023 | Version 1.0.0
Dataset Open

Dataset and supplemental codes for : "Referenceless characterisation of complex media using physics-informed neural networks"

Creators

  • 1. Institute of Photonics and Quantum Sciences (IPAQS), Heriot-Watt University, Edinburgh, UK, EH14 4AS
  • 2. Department of Physics, University Sapienza, Piazzale Aldo Moro 2, 00185 Rome, Italy,

Description

Dataset and associated supplemental codes for : "Referenceless characterisation of complex media using physics-informed neural networks".

Files

data.zip

Files (2.0 GB)

Name Size Download all
md5:57669f3be2ca40c887ecd7847941cf6c
6.3 kB Download
md5:22dcdd07015495a06629b3341ef25e44
2.0 GB Preview Download
md5:3909b5c00c5df573c797b414a3eae9e6
154.8 kB Preview Download
md5:819557a840d30efdf4c75f7ca77d1aa1
83.8 kB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.1364/OE.500529 (DOI)
Preprint: 10.48550/arXiv.2303.16041 (DOI)

Funding

Putting Chaos to Work: Multi-Photon Entanglement in Complex Scattering Media EP/P024114/1
UK Research and Innovation
PIQUaNT – Photonics for High-Dimensional Quantum Networking 950402
European Commission
Quantum Information Processing with Complex Media (Quomplex) I 3773
FWF Austrian Science Fund