Hybrid quantum-classical computing is moving from theory into real workflows, and IBM is using this demo to show how that looks on IBM Cloud. A single application is split into several stages: classical HPC jobs prepare and analyze molecular configurations, then a quantum circuit is generated and executed on an IBM quantum processor, before the final results are visualized for the user. IBM Spectrum LSF acts as the batch scheduler and control plane that orchestrates these stages end to end on cloud infrastructure. https://www.ibm.com/products/hpc-workload-management
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The video walks through a typical hybrid workload for quantum chemistry and materials modeling, where classical nodes first determine the geometry of a molecule and perform the heavy pre-processing. A subsequent step transposes and lays out the quantum circuit that will run on the quantum hardware, mapping the problem into qubits and gates. Once the quantum job completes, its output is fed back into the classical simulation pipeline, which aggregates and visualizes the results in a form domain experts can interpret.
IBM positions quantum not as a separate, exotic system but as another specialized accelerator in the HPC stack, similar to how GPUs and FPGAs are used today. Over roughly three decades, HPC workflows have evolved from CPU-only to heterogeneous architectures; quantum processors are presented here as the next accelerator class for problems like many-body physics, quantum chemistry and complex optimization that are difficult to scale classically. This interview, filmed at SC25 in St Louis, frames that shift as an incremental step in established HPC practice rather than a replacement of existing compute.
On the software side, the key piece is the integration between IBM Spectrum LSF and Qiskit, IBM’s open-source Python SDK for building and running quantum circuits on real hardware or simulators LSF submits, queues and schedules the classical pre- and post-processing jobs, and at the appropriate point in the workflow it invokes the quantum step via Qiskit APIs against IBM Quantum systems hosted in the same cloud region. This provides a single workload management layer and unified control plane for both classical MPI-style jobs and quantum execution.
The conversation also touches on accessibility: researchers and developers can already request limited free access to IBM Quantum systems via the IBM Cloud interface, experiment with Qiskit to prototype algorithms, simulate them, and then run them on real devices to study behavior under noise. The demo in the booth is less about a one-off visualization and more about showing how a complete hybrid pipeline can be expressed as jobs, scheduled, monitored and iterated as quantum hardware and cloud software continue to mature.
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