VQA
General purpose variational quantum algorithms
Introduction
VQA tries to unifies the variational quantum algorithm algother and provide a scalarable solution to develop VQA.
Install
install the latest version of the package.
$ pip install quspin_vqa
or install locally
$ pip install -e .
Before installing this package, make sure quspin is installed
checkout the detailed installation here
conda install -c weinbe58 quspin
Usage
import quspin
import vqa
run the code / examples
$ cd examples/QAOA
$ python run.py
Metadata
Release files for quspin-vqa 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| quspin-vqa-0.0.4.tar.gz | 8.8 kB | Without provenance | Details for quspin-vqa-0.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| quspin_vqa-0.0.4-py3-none-any.whl | Python 3 | none | any | Details for quspin_vqa-0.0.4-py3-none-any.whl |
Total release size: 21.6 kB
Release files / quspin-vqa-0.0.4.tar.gz
| Download URL | quspin-vqa-0.0.4.tar.gz |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.10.7
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Release files / quspin_vqa-0.0.4-py3-none-any.whl
| Download URL | quspin_vqa-0.0.4-py3-none-any.whl |
|---|---|
| Size | 12.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.7
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Security for quspin-vqa 0.0.4
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