QRMI Community

SC26 Tutorial

Workload-Manager-Agnostic QPU Integration with QRMI

When
Monday, November 16, 2026, 1:30pm – 5:00pm CST
Where
Room W184d
Audience
HPC engineers and administrators
Materials
github.com/qrmi-community/SC26
Program
Conference program

Abstract

Integrating quantum resources into HPC workflows is complicated by two layers of fragmentation: quantum hardware vendors expose incompatible APIs, and HPC centers run diverse job schedulers.

QRMI, an open-source project developed by a growing community of 15 national laboratories, institutions and quantum vendors, addresses both by exposing quantum resources as first-class schedulable resources alongside CPUs and GPUs, independent of vendor or scheduler.

This hands-on tutorial has three modules, one per scheduling environment. Participants submit real jobs to cloud quantum providers including IBM, Pasqal and Alice & Bob.

Modules

  1. Batch schedulers: Slurm, PBS, IBM LSF and Open Cluster Scheduler
  2. Kubernetes: For AI workloads
  3. Flux Framework

Presenters

Contributors