Skip to main content

A Pennylane plugin for KQ Cloud System

Project description

PennyLane Korea Quantum Plugin

The PennyLane-KQ plugin integrates the KQ quantum computing library.

PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.

This PennyLane plugin allows to use both the software and hardware backends of KQ as devices for PennyLane.

Features

  • Provides three devices to be used with PennyLane: kq.emulator, and kq.hardware. These provide access to the respective KQ backends.

  • Supports a wide range of PennyLane operations and observables across the devices.

  • Combine KQ high performance simulator and hardware backend support with PennyLane's automatic differentiation and optimization.

Installation

This plugin requires Python version 3.9 and above, as well as PennyLane and KQ. Installation of this plugin, as well as all dependencies, can be done using pip:

python -m pip install pennylane_kq

Authors

KISTI

Support

-Source Code:

-Issue Tracker:

If you are having issues, please let us know by posting the issue on our Github issue tracker, or by asking a question in the forum.

pypi 업데이트 방법

_version.py 에서 버전 변경,

python setup.py sdist bdist_wheel
python -m twine upload  --skip-existing  dist/*
python setup.py sdist bdist_wheel

에러시 wheel 설치

pip install wheel

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

pennylane-kq-0.0.10.tar.gz (10.2 kB view details)

Uploaded Source

Built Distribution

pennylane_kq-0.0.10-py3-none-any.whl (12.1 kB view details)

Uploaded Python 3

File details

Details for the file pennylane-kq-0.0.10.tar.gz.

File metadata

  • Download URL: pennylane-kq-0.0.10.tar.gz
  • Upload date:
  • Size: 10.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for pennylane-kq-0.0.10.tar.gz
Algorithm Hash digest
SHA256 24b1d600076747b4a941b381a5c606c6a5796ecdcd1b8bccb3ba92a8ba98b3a8
MD5 67cc275b04481803eb406b688f0aa925
BLAKE2b-256 90ea57677d1b2249d654b9283ef1f1b4cbed535aa2de92f401f59afa78425b52

See more details on using hashes here.

File details

Details for the file pennylane_kq-0.0.10-py3-none-any.whl.

File metadata

File hashes

Hashes for pennylane_kq-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 e273f52c5db2b74f314384ba011eabb244b3ddb65ad1b9737f46b674fcfa13e4
MD5 065d68e66ab811046a63b6c076087054
BLAKE2b-256 d71692de82a867ce012650664032fc97f564afed12183cbfe9d49843a646f548

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page