Factual package intelligence from PyPI

qnnlib 0.1.6 package intelligence

This library is designed to help data scientists easily conduct experiments with Quantum Neural Networks (QNNs) without the need to manually construct quantum circuits.

pip install qnnlib

Current version
0.1.6
Python requirement
Not declared
License
MIT
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
8.6 KiB
Release history
6 releases with files
Median release cadence
2 days

qnnlib dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn ==1.5.1
  2. tensorflow
  3. tf_keras
  4. pennylane ==0.37.0
  5. matplotlib
  6. pandas
  7. qiskit-ibm-provider ==0.11.0
  8. pennylane-qiskit

Compatibility and release files

qnnlib publishes 0 wheels and 1 source archive for version 0.1.6. Wheel platform tags: No wheel platform tags.

Declared Python classifiers: 3.11.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .