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Introduction

Learning quantum computing is no easy feat especially when you combine it with another complicated topic such as high-performance computing. For this reason we have created five suggested pathways that you can utilize to go through the materials here depending on your background.

Richard Feynman responding to students after a quantum mechanics lecture at Caltech, 1963. Courtesy of the Archives, California Institute of Technology.

Figure 1:Richard Feynman responding to students after a quantum mechanics lecture at Caltech, 1963. Courtesy of the Archives, California Institute of Technology.

Pathways

Given the differing backgrounds of the users of this page we wanted to make sure that everybody can find relevant and background-specific content easily. Therefore, we have prepared the following pathways which you may use as guidelines to start your exploration of our tutorials & docs.

Quantum Pathway

Background: This Pathway is for those who have HPC experience and would like to learn the basics of Qiskit and Quantum computing so they can start exploring quantum workflows. Familiarity with Python and/or C++ is preferred, as well as some comfort with Unix-like systems and bash scripts.

After completing the four lessons above feel free to visit the Python, C++, and API demo pages at your own pace. We do recommend you grasp the content of the C++ basics page before proceeding to the demo content.

HPC Pathway
Beginner Pathway

Background: This Pathway is for those who don’t have experience in either HPC or quantum computing. The introduction sections will redirect you to appropriate beginner materials before you come back for the hybrid workflow content on the rest of our page.

Systems / Workflow Pathway
Troubleshooting Pathway