Quantum Curious? Your Cloud Native Launchpad for K8s-based Quantum Simulations
Talkat Open Source Summit Europe 2025 · on Tuesday, 2025-08-26· at 14:10· Elicium 1 (Elicium Level 1)·
summary
Beginner-friendly pipeline showing a reproducible path from Python circuit to K8s job: code uses Qiskit and Cirq with pyscf HF baselines and a VQE optimizer (COBYLA, SLSQP, SPSA) to estimate H2 energy, runs ~1k–2k iterations, and compares results. Simulation is containerized and deployed via a Helm chart + Kubernetes Job with CUDA-enabled GPUs, yielding faster runs than local CPU. The repo includes config.yaml, visualization HTML, and notes on scaling via Ray for parallel optimizers and integrating Kueue/Slurm for queued HPC workloads.
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chapters (10)
- 0:00Quantum computing basics
- 2:31Qubits vs classical bits
- 7:02Why cloud devs care
- 9:30Visualizing quantum states
- 14:09Quantum gates explained
- 16:17Error correction in quantum
- 23:22Superposition vs parallelism
- 27:15Transpiling quantum circuits
- 30:07Qiskit chemistry demo
- 41:05Key takeaways
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