Training

Quantinuum Helios represents a major leap forward for Quantinuum hardware—with more qubits, lower error rates, and advanced runtime features that require a new class of programming tools. Guppy, a quantum-first programming language embedded in Python, provides the expressive power needed to fully harness Helios's capabilities—features that traditional circuit-building tools can't support. In this webinar, gain an introduction to Helios, Guppy, and how to get started programming the world's most accurate quantum computer. Quantinuum's Helios device is available through OLCF's Quantum Computing User Program (QCUP).

(Registration Open) In this tutorial, we focus on discussing the pulse-level programming of superconducting qubits. We will rely on the pulse-level library Pulla, a Python package maintained by IQM Quantum Computers aimed at granting end-users access and visibility to pulse-level details of quantum algorithms. Participants will work through hands-on examples including using custom pulse shapes, characterizing, and suppressing quantum errors and we will conclude by exploring examples of how this enables the exploration of the physics governing these systems.

TBD

This session introduces the fundamentals of profiling high-performance computing (HPC) applications using AMD profiling tools, with a focus on GPU-accelerated workloads. Participants will learn how to systematically analyze performance and identify opportunities for optimization. No prior profiling experience is required.

This session builds on Part One of the How to Profile series and focuses on analyzing and optimizing multi-process GPU applications using MPI. Participants will learn how to connect GPU and network performance insights to better understand application behavior and improve performance at scale.

OLCF will host a two-hour interactive discussion on selecting profiling tools at different stages of performance analysis. The session includes a tool-agnostic overview of profiling strategies, brief introductions from participating tool vendors, and a moderated panel discussion. The event concludes with an open Q&A, giving participants the opportunity to discuss their own profiling challenges and receive targeted guidance.

OLCF, in partnership with AMD, HPE, and others, invites research teams to participate in a competitive hackathon on Frontier, the world’s most powerful supercomputer. Participants will work to advance fundamental scientific discovery by exploring strategies to optimize performance, scalability, and data processing, as well as developing innovative methods to accelerate high-performance computing workflows and enhance computational efficiency. Selected teams will collaborate with leading experts to push the boundaries of what is possible on exascale systems. Proposals are due by March 4.