industriallyrelevantvqa
Science Score: 44.0%
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 -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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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 (5.8%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: ludwig-831
- Language: Python
- Default Branch: main
- Size: 242 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
How to use
To execute the parameter optimization, run noisyvqe.py Change the backend from qiskit's Aer simulator backend to the hardware backend you are using. You will find the results in a subfolder of "molecules/", the path depends on the settings you chose. The molecule names "Fe3NTAdoubletCASSCF" and "Fe3NTAquartet_CASSCF" denote the low and intermediate spin states. Change the molecule name to run the process for the different cases.
Make sure that the raw data is saved by your backend as well. The NoisyVQE class does not do this, as the backend we used did not require it. The raw data is needed to execute runconfigurationRecovery.py and needs to be in the same format as the data in Results/.../fullresult.yml. Alternatively one can change the way data is loaded.
Owner
- Name: Ludwig Nützel
- Login: ludwig-831
- Kind: user
- Repositories: 1
- Profile: https://github.com/ludwig-831
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Inudstrially Relevant VQA
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Ludwig
family-names: Nützel
email: ludwig.nuetzel@fau.de
orcid: 'https://orcid.org/0000-0002-4241-1241'
affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg
repository-code: 'https://github.com/ludwig-831/IndustriallyRelevantVQA'
GitHub Events
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