Discover IBM's Qiskit Cloud Notebook for Quantum Computing! 🌌

IBM Recommends New Cloud-Based Notebooks for Qiskit Users

IBM has introduced new recommendations for cloud-based notebook environments for Qiskit users, endorsing OVHcloud and qBraid as preferred providers. Aligning with strategic shifts, these changes aim to enhance the Qiskit ecosystem with convenient, pre-installed cloud-based Jupyter environments.

New Recommendations Align with IBM’s Strategic Shifts

IBM’s recent retirement of the IBM Quantum Lab signifies a broader strategic move towards utility-scale quantum computation. This development supports the continuous growth of the Qiskit ecosystem, ensuring users have access to cloud-based Jupyter environments integrated with Qiskit.

Getting Started with OVHcloud

Users of OVHcloud Public Cloud and OVHcloud Startup can now leverage OVHcloud quantum notebooks to engage with Qiskit and submit jobs to IBM Quantum hardware. Below are steps for getting started:

Setting Up OVHcloud AI Notebooks:
- Visit the OVHcloud landing page and create a free account.
- Log in, go to the Public Cloud page, and click "Create an AI Notebook."
- Click on "+ Create a notebook", choose JupyterLab, select Qiskit, adjust privacy settings, and pick a datacenter location.

Getting Started with qBraid Lab

IBM also endorses qBraid, a cloud-based platform for quantum software development, suitable for users of Qiskit SDK v1.0 and v1.1. You can transition your work to qBraid’s pre-configured Python environments, following these steps:

Setting Up qBraid Lab:
- Visit the qBraid Lab landing page and create a free account.
- Log in, access the Lab page, and click "Start Machine" in the free tier.

Other Notebook Environments for Qiskit Users

Besides OVHcloud and qBraid, Qiskit can be integrated into other familiar notebook environments like IBM Watson Studio, Google Colab, and Microsoft Azure Machine Learning Studio. Here are general steps for these platforms:

IBM Watson Studio:
- Visit the Watson Studio landing page and create an IBM Cloud account.
- Begin a new project, open a new notebook, and execute pip install qiskit.
Google Colab:
Microsoft Azure Machine Learning Studio:
- Visit the Azure landing page and create a free trial account.
- Create a new workspace, open a new notebook, and run pip install qiskit.

These detailed steps serve as a comprehensive guide for Qiskit users looking to utilize various cloud-based notebook environments, providing flexibility to choose the most suitable platform for their needs.

Hot Take

Exploring new cloud-based notebook environments endorsed by IBM can significantly enhance your experience as a Qiskit user. By following the recommended steps, you can seamlessly integrate Qiskit into diverse platforms, ensuring a tailored and efficient workflow for quantum software development.