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Batch first simulator academy
github-actions[bot] edited this page Nov 8, 2026
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Scientific preparation is cheap; expensive execution is scheduled.
Open the eight introductory notebooks, starting with credential-free Aer CPU and moving to a separately authorised, one-GPU Slurm job. The workbench remains a small JupyterHub/KubeSpawner CPU pod; its lifetime does not own a Slurm GPU allocation.
The official upstream SDKs are taught natively: Qiskit/Aer, PennyLane/Lightning, Cirq/qsim/cuQuantum, IQM fake backends, Pasqal/Pulser neutral-atom emulation, and approved physical provider SDKs. Frameworks, simulator backends, execution resources and QPUs are distinct. No default QPU credits or GPU interactive session.
- Read M5 batch-first design and acceptance.
- Read scientific environments.
- Read Slurm runner contract.
- Status: notebook/runner source only until native researcher Slurm access, GPU GRES, image build and site tests are independently observed.
Quantum Workflows
- Home
- Getting started
- Academy and learning paths
- Batch-first simulator academy
- Reference experiments
- Standalone workstation and GPU notebooks
- Execution environments
- Scientific provenance
- Ecosystem integration
- Developer guide
- Troubleshooting
- Security and responsible science
- Contributing
- Guide help and support Scientific engineering
- Slurm runner contract
- Quantum SDK and executor matrix
- Research curriculum design
- Science validation and benchmarks
- Notebook environments and reproducibility