Quantum hardware is advancing rapidly, but until machines reach hundreds or thousands of reliable qubits, high-performance simulation is essential for building, testing, and optimizing real applications. State-of-the-art simulators capable of handling large-scale circuits let developers get ahead of the hardware and be ready when the technology arrives. PennyLane's Lightning on AMD GPUs transforms quantum circuit simulation into a high-performance computing pipeline, enabling researchers and engineers to tackle problem sizes previously unfeasible.

Pennylane's Lightning simulator, running on AMD GPU hardware, has been demonstrated at scale on the Frontier Supercomputer —however, expanding access to quantum simulation requires making this software stack available on a broader range of systems. In this post, we provide an avenue for anyone to try PennyLane on AMD GPUs via the AMD Developer Cloud . We will show how to do it using three methods: Docker, Python wheels, and source code installation, each tailored to different user preferences and needs. By the end, you will be able to run your first Hello World program on AMD hardware and have a development environment to explore more complex PennyLane programs.