Building Hybrid Quantum-Classical Pipelines : A Practic...
summary
Hybrid pipeline that strings classical HPC and quantum hardware together using Slurm + Prefect orchestration and a QRMI middleware to route jobs to QPUs via the Qiskit runtime & QRMI middleware. Demonstrates Shor’s algorithm: circuits built and transpiled, run on simulator (example factoring 15 yields dominant period 4 peaks) with classical post‑processing to extract factors. Notes Qiskit 2.0 additions (C API, Rust rewrites, dynamic circuits, box support) and a quantum‑centric supercomputing experiment that scaled atom simulation ~40× and improved accuracy ~210× using two QPUs and supercomputers.
AI-written summary · about
chapters (21)
- 0:00Hybrid quantum-classical pipelines
- 1:03Need for quantum computing
- 2:49Classical vs quantum use cases
- 4:56Quantum-centric supercomputing
- 5:19Qiskit runtime and cloud
- 7:04Qiskit SDK and abstraction
- 8:47Quantum plugins for HPC
- 10:10Quantum advantage in molecules
- 11:34Quantum fundamentals for developers
- 14:03Bits vs qubits
- 17:14Quantum gates and superposition
- 19:02Qiskit SDK overview
- 21:53Quantum resource management
- 24:30Slurm and Prefect orchestration
- 31:25Shor’s hybrid algorithm
- 32:07Integer factorization overview
- 35:07Qiskit workflow patterns
- 37:15Execution modes and post-processing
- 38:17Prefect workflow for Shor’s
- 40:02Execution visualization
- 41:44Batch execution steps
related talks
01h 07mQuantum architecture for utility scale with HPC, AI and Quantum
48mGetting Started with Quantum Programming
47mQuantum Computing
19mReinforcement Learning for Optimizing Hybrid Quantum-Classical Workflows
41mQuantum Computing Deep Dive
16mSolving Real Industry Problems on Today’s Quantum Computers
16mqTPU: Hybrid Tensor Networks for Quantum-Classical Acceleration
21mHybrid Quantum Computing for AI