Treffer: Source code repository for the preprint: 'Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement'

Title:
Source code repository for the preprint: 'Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement'
Authors:
Dudas, Julien, orcid:0009-0006-4223-, Marković, Danijela
Contributors:
Carles, Baptiste
Publisher Information:
Zenodo
Publication Year:
2025
Collection:
Zenodo
Subject Terms:
Quantum computers, Quantum physics, Machine learning, Supervised Machine Learning
Document Type:
Report report
Language:
English
Relation:
https://zenodo.org/records/15856611; oai:zenodo.org:15856611; https://doi.org/10.5281/zenodo.15856611
DOI:
10.5281/zenodo.15856611
Availability:
https://doi.org/10.5281/zenodo.15856611
https://zenodo.org/records/15856611
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.6CAD8F57
Database:
BASE

Weitere Informationen

This python code repository contains the necessary code to generate the figures and data in the article preprint: "Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement".