photonic-qgan

https://github.com/quandela/photonic-qgan

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
Links to: arxiv.org
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Academic email domains
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (1.3%) to scientific vocabulary

Last synced: 11 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: Quandela
Language: Jupyter Notebook
Default Branch: main
Size: 5.94 MB

Statistics

Stars: 3
Watchers: 2
Forks: 3
Open Issues: 0
Releases: 0

Created over 2 years ago · Last pushed almost 2 years ago

Metadata Files

Readme Citation

README.md

Photonic QGANs for classical data

This repository contains the code for the paper Photonic quantum generative adversarial networks for classical data.

The code was written by Tigran Sedrakyan, under the supervision of Alexia Salavrakos.

Owner

Name: Quandela
Login: Quandela
Kind: organization
Location: France

Website: https://www.quandela.com
Repositories: 2
Profile: https://github.com/Quandela

Citation (CITATION.cff)

cff-version: 1.2.0
title: Photonic QGAN
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Tigran
    family-names: Sedrakyan
    email: sedrakyantigran1@gmail.com
    affiliation: Quandela
repository-code: 'https://github.com/tigran-sedrakyan/photonic-qgan'
abstract: >-
  Photonic implemetation of photonic quantum generative
  adverserial networks.

ecosyste.ms

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