Skip to main content

Zurich Instruments LabOne Q software framework for quantum computing control

Project description

LabOne Q logo

LabOne Q

LabOne Q is Zurich Instrument’s software framework to accelerate progress in quantum computing. Its Python-based, high-level programming interface enables users to concentrate on intuitive, efficient experiment design, while automatically accounting for their instrumentation details and maximizing useful computation time. Tight system integration between software and hardware ensures a seamless user experience from setups with a single qubit to those with 100 and more.

Requirements

⚠️ This software requires Python 3.7 or higher. We assume that pip3 and python3 use a corresponding Python version.

💡 To ease the maintenance of multiple installations, we recommended to use Python environments through e.g. venv, pipenv or conda.

Installation

The following commands will make LabOne Q available in your current environment.

$ pip3 install --upgrade laboneq

Documentation

Find the LabOne Q Manual here: https://docs.zhinst.com/labone_q_user_manual/overview.html

Dive right into using LabOne Q and generate your first pulse sequence: https://docs.zhinst.com/labone_q_user_manual/getting_started/hello_world.html

The API Documentation is published here: https://docs.zhinst.com/labone_q_api/index.html

Architecture

Overview of the LabOne Q Software Stack

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

laboneq-2.2.0-py3-none-any.whl (914.5 kB view details)

Uploaded Python 3

File details

Details for the file laboneq-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: laboneq-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 914.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.11

File hashes

Hashes for laboneq-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9b3d91fa65f126fa7f45b117f3b1434a4e1bfa1b7a9055792ab330fe918f1bd6
MD5 d1e39f3808120cdb0227b8c29b69be4d
BLAKE2b-256 1845d1d15a4014ccf758c61e1f756abca045510f57109e296c24dd96c28bb6c9

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