Overview
Python client for developing software with qBraid cloud services
qBraid-CORE is a 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.
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:
- Create a qBraid account or log in to your existing account by visiting account.qbraid.com
- Copy your API Key token from the left side of your account page:
- Save your API key from step 2 in local configuration file
~/.qbraid/qbraidrc
, where~
corresponds to your home ($HOME
) directory:
[default]
api-key = YOUR_KEY
url = https://api.qbraid.com/api
Or generate your ~/.qbraid/qbraidrc
file via the qbraid-core Python interface:
>>> from qbraid_core import QbraidSession
>>> session = QbraidSession(api_key='API_KEY')
>>> session.save_config()
>>> session.get_available_services()
['environments', 'quantum']
Other credential configuration methods can be found here.
Verify setup
After configuring your qBraid credentials, verify your setup by running the following from a Python interpreter:
>>> import qbraid_core
>>> quantum_client = qbraid_core.client('quantum')
>>> device_data = quantum_client.search_devices()
>>> for item in device_data:
... print(item['qbraid_id'])
Community
- For feature requests and bug reports: Submit an issue
- For discussions and/or specific questions about qBraid services, join our discord community
- For questions that are more suited for a forum, post to Stack Overflow with the
qbraid
tag.