IBM marked this course New on the Quantum Learning catalogue. It is the public version of the quantum-centric supercomputing story: QPUs as co-processors beside CPUs and GPUs, not replacements for them.
The overview says the audience is split. Quantum developers who have never submitted a Slurm job can skip the quantum recap. HPC people who have never seen a circuit can skip the HPC recap. Recommended background is Basics of Quantum Information if you want the theory first.
Published lessons include hybrid programming models, Qiskit patterns orchestrated with classical schedulers, and a high-level look at sample-based quantum diagonalization (SQD) and sample-based Krylov quantum diagonalization (SKQD). A 20-question IBM Training exam (16 to pass) issues a Credly badge.
This is the catalogue’s first dedicated HPC-plus-quantum course. For the algorithms in more depth, see Quantum Diagonalization Algorithms.
Who it is for
People who already write either quantum circuits or classical supercomputing jobs and need the other half of the stack.
Topics covered
Start this course
Integrating Quantum and High-Performance Computing (IBM Learning) is free on IBM Quantum, at intermediate level, and runs 6 hours. A certificate is included.
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