Moderator: Ermal Rrapaj (NERSC, Lawrence Berkeley National Laboratory (LBNL)), Katherine Klymko (NERSC, Lawrence Berkeley National Laboratory (LBNL))
Panelists: Antonio CĂłrcoles (IBM), Kentaro Yamamoto (Quantinuum K.K.), Yuval Boger (QuEra Computing), Mitsuhisa Sato (RIKEN Center for Computational Science (R-CCS)), Edric Matwiejew (Pawsey Supercomputing Research Centre)
Abstract: With Moore's law nearing its end, hardware specialization is becoming crucial for continued HPC advancement. Quantum computing (QC) is gaining significant attention due to its potential to dramatically accelerate diverse HPC workloads, from materials science and chemistry to high-energy physics and cryptography, to name a few. However, with hardware and respective software infrastructure under development, when and how to integrate QC into the HPC ecosystem poses fundamental challenges—from logistics to support. Realizing quantum-accelerated HPC requires closely integrating QC with classical CPU- and GPU-accelerated computing and carefully considering this new computing paradigm's unique advantages and limitations. Together, HPC centers, quantum hardware providers, and quantum software specialists are collaborating to solve integration challenges in middleware, job schedulers, and co-processing models to develop tools for workflow management, and also address the growing need for user awareness and training.