Repository contains all the tutorial materials for the SC25 tutorial: Accelerated Quantum Supercomputing in Action: A Hands-on Tutorial on Scalable Hybrid Workflows.
This tutorial is a collaboration between NVIDIA, NERSC, and Infleqtion.
Open-source platform and SDK used here: CUDA-Q
Accelerated quantum supercomputing (AQSC) tightly integrates quantum computing with classical accelerated supercomputing via low-latency interconnects. This is crucial for hybrid quantum-classical workflows, enabling scalable quantum algorithms, real-time quantum error correction (QEC), and fast feedback control.
In this tutorial, participants will gain hands-on experience by building hybrid applications using the Python API of CUDA-Q, NVIDIA’s open-source development platform that unifies QPU, CPU, and GPU compute. The primary focus is on scalable hybrid algorithms like the generative quantum eigensolver (GQE), emphasizing AI integration and parallelization.
Live demonstrations on NERSC’s Perlmutter supercomputer and Infleqtion’s Sqale neutral-atom QPU will showcase the value of GPU-accelerated quantum applications and QEC. Practical examples in CUDA-Q will include GPU-accelerated decoders on Perlmutter and the demonstration of logical qubits using VQE for a material science application.
For advanced participants, notebooks will also cover algorithms such QAOA-GPT and Auxiliary Field Quantum Monte-Carlo (AFMQC). For additional examples, please visit the applications section in CUDA-Q docs.
Participants will leave with practical skills in building hybrid quantum-classical applications, an understanding of performance-critical AQSC components, and familiarity with emerging techniques in scalable quantum algorithm design and QEC.
Dedicated compute on Perlmutter and Infleqtion QPU will be provided during the tutorial.
Detailed outline is provided here.
The tutorial runs from 1:30pm - 5:00pm CST. The tentative agenda follows:
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1:30pm - 2:30pm: Overview of Accelerated Quantum Supercomputing, including a hands-on VQE example with
CUDA-Q. -
2:30pm - 3:00pm: Generative Quantum Eigensolver (GQE)
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3:00pm - 3:30pm: Break
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3:30pm - 4:00pm: GQE (continued) + examples from AFQMC
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4:00pm - 5:00pm: Infleqtion Sqale Platform
If you did not sign up for Perlmutter access using this form prior to the day of the tutorial, you can get access via Launchables.
Tutorial notebooks and other resources for each session are found in the directories of this repository.
Additional material can be found at:
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CUDA-Q Docs: https://github.com/NVIDIA/cuda-quantum
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CUDA-QX Docs: https://github.com/NVIDIA/cudaqx
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CUDA-Q Academic: https://github.com/NVIDIA/cuda-q-academic