Factual package intelligence from PyPI

GQNN 1.6.0 package intelligence

QNN is a Python package for Quantum Neural Networks, a hybrid model combining Quantum Computing and Neural Networks. It was developed by GokulRaj S for research on Customized Quantum Neural Networks.

pip install gqnn

Current version
1.6.0
Python requirement
<=3.13,>=3.7
License
GPL-3.0 license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
95.8 KiB
Release history
11 releases with files
Median release cadence
13 days

GQNN dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. pandas
  3. scikit-learn
  4. qiskit
  5. qiskit_ibm_runtime
  6. qiskit-machine-learning
  7. qiskit-quantum-kernel
  8. qiskit_aer
  9. qiskit-algorithms
  10. pylatexenc
  11. matplotlib
  12. torch
  13. tqdm

Compatibility and release files

GQNN publishes 1 wheel and 1 source archive for version 1.6.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .