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quantummd

Benchmarking of qiskit machines

https://github.com/vindem/quantummd

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
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (8.1%) to scientific vocabulary

Keywords

qiskit quantum quantum-computing
Last synced: 6 months ago · JSON representation ·

Repository

Benchmarking of qiskit machines

Basic Info
  • Host: GitHub
  • Owner: vindem
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 529 KB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 5
Topics
qiskit quantum quantum-computing
Created about 4 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

This code has been developed in the scope of the following work:

Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic, Tu Mai Anh Do, Ewa Deelman: Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems. e-Science 2022: 346-356

Please cite accordingly: https://dblp.org/rec/conf/eScience/CranganoreMBDD22.html?view=bibtex

Impact of Hyperparameter Selection on VQE

This repo contains code and notebooks about Quantum Computing experiments.

DOI fair-software.eu

Acknowledgements

We acknowledge the use of IBM Quantum services for this work. The views expressed are those of the authors, and do not reflect the official policy or position of IBM or the IBM Quantum team. IBM Quantum

Machines used in this work: | ID | VERSION | PROCESSOR | |----|---------|-----------| | ibmqmanila |1.0.29|Falcon r5.11L| | ibmqsantiago|1.4.1|Falcon r4L|

Jupyter Notebooks:

  • quantumMD A preliminary study of applying quantum computing to scientific computation
  • quantum-pqc-comparison An example of performance of different PQC for variational algorithms

Data

Filename format: ALGORITHMBACKENDQUBITS_[RT-NRMSE|SUMMARY] * rt-nrmse: summary of the experiment with average runtime and normalized root mean square error between the value obtained on classic architecture and the value obtained with specific PQC;

| PQC | AVG-RUNTIME | NRMSE | |-----|-------------|-------| | PQC name | Average RT for circuit | NRMSE for circuit |

  • rawdata: data of each execution of VQE over which rt-nrmse are calculated.

| PQC0-RT | PQC0-EIG | ... | PQCn-RT | PQCn-EIG | Classic-EIG | |-------|--------|---|-------|--------|-----------| | RT matrix #1 using PQC0 | EIG matrix #1 using PQC0 |...| RT matrix #1 using PQCn | EIG matrix #1 using PQCn | EIG matrix #1 classic | |.......|........|...|.......|........|...........| | RT matrix #m using PQC0 | EIG matrix #m using PQC0 |...| RT matrix #m using PQCn | EIG matrix #m using PQCn | EIG matrix #m classic |

Note: Simulator assumes full qubit connectivity, therefore performance is always better than real backend for low number of qubits.

Owner

  • Name: Vincenzo De Maio
  • Login: vindem
  • Kind: user
  • Location: Vienna

Researcher at Vienna University of Technology

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
message: >-
  If you use this software, please cite it using the
  metadata from this file (bibtex entry: https://dblp.org/rec/conf/eScience/CranganoreMBDD22.html?view=bibtex)
references:
  - type: conference-paper
  authors:
  - given-names: Cranganore
    family-names: Sandeep Suresh
    email: s.cranganore@fz-juelich.de
    affiliation: Juelich Forschungszentrum
  - given-names: Vincenzo
    family-names: De Maio
    email: vincenzo@ec.tuwien.ac.at
    affiliation: Vienna University of Technology
    orcid: 'https://orcid.org/0000-0002-7352-3895'
  - given-names: Tu
    family-names: Mai Ahn Do
    affiliation: University of Southern California
  - given-names: Ivona
    family-names: Brandic
    email: ivona@ec.tuwien.ac.at
    affiliation: Vienna University of Technology
  - given-names: Ewa
    family-names: Deelman
    email: deelman@usc.isi.edu
    affiliation: University of Southern California
  title: "Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems"
  year: 2022
  collection-title: "2022 IEEE 18th International Conference on e-Science (e-Science)"
  conference:
    - name: IEEE 18th International Conference on e-Science
      location: Salt Lake City
      country: US
  start: 346
  end: 356

GitHub Events

Total
  • Push event: 2
Last Year
  • Push event: 2

Dependencies

requirements.txt pypi
  • MDAnalysis *
  • freud-analysis *
  • qiskit *
  • qiskit-ibm-runtime *
  • scikit-learn *