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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
qnnlib-0.1.4.tar.gz
(8.7 kB
view details)
File details
Details for the file qnnlib-0.1.4.tar.gz
.
File metadata
- Download URL: qnnlib-0.1.4.tar.gz
- Upload date:
- Size: 8.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6e3fd64e0ca0a3fdcdfebd66f0d1dc4e2f84f5b0dead242c067f2bff65d7a79d |
|
MD5 | c18762c99a5be8eb249e7f72891ed7f0 |
|
BLAKE2b-256 | 0642406546ab765cf276d22b82985b1ef0eecbbc26b0aa7ce1c8ec4ce896d8c1 |