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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 Flags] -->|Override| C[Defaults]

    style A fill:#1a73e8,color:#fff,stroke:#1557b0
    style C fill:#34a853,color:#fff,stroke:#2d8f47
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CLI flags override the built-in defaults in defaults.py. A config file passed with --load is read and validated but its values are not currently merged into the run, so the run still uses CLI flags and defaults. See Configuration for details.

Section Guide

  • Configuration

    CLI flag reference, parameter categories, validation rules, and the save/load workflow 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