This library is designed to help data scientists easily conduct experiments with Quantum Neural Networks (QNNs) without the need to manually construct quantum circuits.
Project description
A PennyLane Based Quantum Programming Library Wrapper that allow Users to construct a Quantum Neural Networks based on ZZFeatureMap and Anstaz Twolocal at ease with flexibility to specify number of repss
##Usage
use Python 3.11.x only
#use virtual environment change python 3.x.x to 3.11.x
py -3.11 -m venv .venv
.venv\Scripts\Activate
# (.venv) PS D:\project>pip install qnnlib
# (.venv) PS D:\project>python ./test.py
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
qnnlib-0.1.1.tar.gz
(6.3 kB
view details)
File details
Details for the file qnnlib-0.1.1.tar.gz.
File metadata
- Download URL: qnnlib-0.1.1.tar.gz
- Upload date:
- Size: 6.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 88f0a5ce53592d9f5e3c94ebcdb61e0dab6b0fa41db48980abcf1d7336190269 |
|
| MD5 | 305291e64c88bdcdf609cb6902ea8961 |
|
| BLAKE2b-256 | d5e945133750ae724aaa98a28e2db85002e09e3c2b19ba8bf1d8ef800c612455 |
