IBM has released new recommendations for cloud-based laptop environments for Qiskit users. According to the IBM Quantum Computing Blog, the company has approved OVHcloud and qBraid as preferred providers for those looking to use Qiskit over the cloud.
The new recommendations align with IBM’s strategic shift.
The announcement follows IBM’s recent closure of the IBM Quantum Lab and signals a broader strategic shift toward utility-scale quantum computing. This move aims to support the continued growth of the Qiskit ecosystem by providing users with a convenient, cloud-based Jupyter environment with Qiskit pre-installed.
Getting started with OVHcloud
OVHcloud Public Cloud and OVHcloud Startup users can now leverage OVHcloud quantum notebooks to access Qiskit and submit jobs to IBM Quantum hardware. Here are the steps to get started:
OVHcloud AI notebook setup:
- Visit the OVHcloud landing page to create a free account.
- Log in, go to the public cloud page, and click “Create AI Notebook.”
- Click “+ Create Notebook”, select JupyterLab, then Qiskit, specify privacy settings, and select a data center location.
Getting Started with qBraid Lab
qBraid, a cloud-based platform for quantum software development, was also recommended by IBM. Users of Qiskit SDK v1.0 and the recently released v1.1 can switch operations to qBraid’s pre-configured Python environment. Here are the steps to get started:
qBraid Lab Settings:
- Visit the qBraid Lab landing page to create a free account.
- Log in, go to the labs page and click “Start Machine” in the free tier.
Other laptop experiences for Qiskit users
In addition to OVHcloud and qBraid, Qiskit can also be installed on other popular notebook environments such as IBM Watson Studio, Google Colab, and Microsoft Azure Machine Learning Studio. Below are the general steps for these platforms:
IBM Watson Studio:
- Visit the Watson Studio landing page to create an IBM Cloud account.
- Start a new project, open a new notebook, and run it.
pip install qiskit.
Google Collaboration:
Microsoft Azure Machine Learning Studio:
- Visit the Azure landing page to create a free trial account.
- Create a new workspace, open a new notebook, and run it.
pip install qiskit.
These steps provide a comprehensive guide to getting started with Qiskit in a variety of cloud-based laptop environments, ensuring users have the flexibility to choose the platform that best suits their needs.
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