Module quantrs_hooks 

QuantRS2 integration hooks for probabilistic graphical models.

This module provides integration between tensorlogic-quantrs-hooks and the QuantRS2 probabilistic programming ecosystem. It defines traits and utilities for seamless interoperability between PGM inference and QuantRS2 distributions and models.

Architecture

TensorLogic PGM ←→ QuantRS2 Distributions
      ↓                      ↓
  FactorGraph ←→ Probabilistic Models
      ↓                      ↓
  Inference   ←→  Sampling/Optimization

Integration Points

1. Distribution Conversion: Factor ↔ QuantRS Distribution
2. Model Export: FactorGraph → QuantRS ProbabilisticModel
3. Inference Queries: Unified query interface
4. Parameter Learning: Hook into QuantRS optimizers
5. Sampling: Bridge to QuantRS MCMC samplers

Modules

utils

Utility functions for QuantRS integration.

Structs

AnnealingConfig

Configuration for quantum annealing optimization.

DistributionExport

Exported distribution format compatible with QuantRS2.

DistributionMetadata

Metadata for distribution export.

FactorDefinition

Factor definition for export.

ModelExport

Exported model format compatible with QuantRS2.

ModelMetadata

Model metadata.

ModelStatistics

Model statistics for QuantRS integration.

ModelStructure

Model structure definition.

QuantRSAssignment

Assignment of values to variables (for learning and QuantRS integration).

QuantumSolution

Solution from quantum annealing or QAOA.

QuantumSolutionMetadata

Metadata for quantum solutions.

VariableDefinition

Variable definition for export.

Traits

QuantRSDistribution

Trait for converting between PGM factors and QuantRS distributions.

QuantRSInferenceQuery

Trait for probabilistic inference queries compatible with QuantRS2.

QuantRSModelExport

Trait for models that can export to QuantRS2 format.

QuantRSParameterLearning

Parameter learning interface for QuantRS integration.

QuantRSSamplingHook

Hook for MCMC sampling integration with QuantRS2.

QuantumAnnealing

Trait for quantum annealing optimization.

QuantumInference

Trait for quantum-enhanced inference on factor graphs.