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Usage

This section covers configuring and running VQE simulations with the Quantum Pipeline. The CLI entry point is quantum-pipeline.

graph LR
    A[CLI Arguments] -->|Override| B[Config File --load]
    B -->|Fallback| C[Defaults]

    style A fill:#1a73e8,color:#fff,stroke:#1557b0
    style B fill:#e8710a,color:#fff,stroke:#c45e08
    style C fill:#34a853,color:#fff,stroke:#2d8f47
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Configuration resolves in three layers. CLI flags override loaded config files, which override the built-in defaults in defaults.py.

Section Guide

  • Configuration

    Complete CLI flag reference, parameter categories, validation rules, and save/load workflows. The single source of truth for every flag quantum-pipeline accepts.

    Configuration

  • Optimizers

    The 8 configured classical optimizers (L-BFGS-B, COBYLA, SLSQP, and 5 generic-config ones), their behavior modes, default iteration budgets, and selection guidelines.

    Optimizers

  • Simulation Methods

    Qiskit Aer backend methods - statevector, density_matrix, tensor_network, and others. GPU compatibility, memory scaling, and selection guidance.

    Simulation Methods

  • Examples

    Copy-paste CLI recipes for common workflows: quick tests, GPU runs, Kafka streaming, convergence mode, config save/load, and thesis reproduction.

    Examples