Module vqa_support 

Variational Quantum Algorithm (VQA) Support - Modular Implementation

This module provides comprehensive support for variational quantum algorithms leveraging SciRS2’s advanced optimization, statistical analysis, and machine learning capabilities for robust and efficient VQA execution on quantum hardware.

The module is organized into focused submodules for maintainability and clarity:

• config: Configuration structures and enums for all VQA types
• optimization: Optimization algorithms and strategies
• statistical: Statistical analysis and validation tools
• hardware: Hardware-aware optimization and calibration
• noise: Noise mitigation and error correction
• circuits: Parametric circuit definitions and execution
• objectives: Objective function definitions and evaluation
• executor: Main VQA execution coordinator
• analysis: Performance analysis and validation

Re-exports

pub use config::AdaptiveShotConfig;

pub use config::ConvergenceCriterion;

pub use config::GradientMethod;

pub use config::MultiStartConfig;

pub use config::VQAAlgorithmType;

pub use config::VQAConfig;

pub use config::VQAHardwareConfig;

pub use config::VQANoiseMitigation;

pub use config::VQAOptimizationConfig;

pub use config::VQAOptimizer;

pub use config::VQAStatisticalConfig;

pub use config::VQAValidationConfig;

pub use executor::VQAExecutor;

pub use executor::VQAExecutorConfig;

pub use executor::VQAResult;

pub use scirs2_graph;

pub use scirs2_linalg;

pub use scirs2_optimize;

pub use scirs2_stats;

pub use analysis::*;

pub use circuits::*;

pub use hardware::*;

pub use noise::*;

pub use objectives::*;

pub use optimization::*;

pub use statistical::*;

Modules

analysis

Performance analysis and validation for VQA

circuits

Parametric circuit definitions and execution for VQA

config

Configuration structures and enums for VQA algorithms

executor

Main VQA execution coordinator

hardware

Hardware-aware optimization and calibration for VQA

noise

Noise mitigation and error correction for VQA

objectives

Objective function definitions and evaluation for VQA

optimization

Optimization algorithms and strategies for VQA

statistical

Statistical analysis and validation tools for VQA

Functions

execute_vqa

Main VQA execution entry point

qaoa_config

Create VQA configuration for QAOA algorithm

vqe_config

Create VQA configuration for VQE algorithm

Type Aliases

DeviceError

DeviceResult