Abstract:
Telemetry has long been an essential tool in High Performance Computing (HPC) for characterizing both systems and applications. In quantum computing, we are beginning to observe how environmental parameters and operational events impact system performance. However, a comprehensive system architecture and framework to systematically characterize and correlate these effects with quantum performance metrics have been lacking. This talk will present a system design that addresses this gap, detailing its architecture, data collection, and analysis framework. We will also discuss the applications and insights emerging from this system, highlighting how telemetry-driven characterization can advance the reliability and performance of quantum computing platforms.
Short bio:
Hossam Ahmed is a high-performance-computing and quantum-computing researcher at the Leibniz Supercomputing Centre (LRZ). His work focuses on optimizing the quality and reliability of quantum computations through system-level analysis and telemetry-driven approaches. He currently leads the quantum-telemetry project, which aims to develop frameworks for monitoring and improving quantum system performance. He is currently pursuing his PhD in Computer Architecture and Parallel Computing at TUM.
