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Python library with core abstractions for software development in the qBraid ecosystem.

Project description

qbraid-core

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Python library providing core abstractions for software development within the qBraid ecosystem, and a low-level interface to a growing array of qBraid cloud services. The qbraid-core package forms the foundational base for the qBraid CLI, the qBraid SDK, and the jupyter-environment-manager.

You can find the latest, most up to date, documentation here, including a list of services that are supported.

See also: qbraid-core-js

Getting Started

You can install qbraid-core from PyPI with:

python -m pip install qbraid-core

Local configuration

After installing qbraid-core, you must configure your account credentials:

  1. Create a qBraid account or log in to your existing account by visiting account.qbraid.com
  2. Navigate to Account > API Keys in the left-sidebar, and then click "Create API Key". See API Key docs.
  3. Save your API key from step 2 in local configuration file. On Linux and macOS, this file is located at ~/.qbraid/qbraidrc, where ~ corresponds to your home ($HOME) directory. On Windows, the equivalent default location is %USERPROFILE%\.qbraid\qbraidrc.
[default]
api-key = YOUR_KEY
url = https://api-v2.qbraid.com/api/v1

Or generate your ~/.qbraid/qbraidrc file via the qbraid-core Python interface:

>>> from qbraid_core import QbraidSessionV1
>>> session = QbraidSessionV1(api_key='API_KEY')
>>> session.save_config()
>>> session.get_available_services()
['environments', 'runtime', 'storage']

Other credential configuration methods are available using the qBraid-CLI.

Verify setup

After configuring your qBraid credentials, verify your setup by running the following from a Python interpreter:

>>> import qbraid_core
>>> quantum_runtime_client = qbraid_core.client('runtime')
>>> devices = quantum_runtime_client.list_devices()
>>> for device in devices:
...     print(device.qrn, device.status)

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