Expand description
Quantum simulation for probabilistic inference.
This module provides integration between quantum circuit simulation and probabilistic graphical models, enabling quantum-enhanced inference.
§Overview
Key capabilities:
- Execute quantum circuits and extract probability distributions
- Convert circuit measurement results to PGM factors
- Quantum-enhanced sampling for factor graphs
§Example
use tensorlogic_quantrs_hooks::quantum_simulation::{
QuantumSimulationBackend, SimulationConfig,
};
// Create a simulation backend
let backend = QuantumSimulationBackend::new();
// Run simulation
let config = SimulationConfig::default();
// ... execute circuitsStructs§
- Quantum
Simulation Backend - Backend for quantum circuit simulation.
- Simulated
State - Internal state representation for simulation results.
- Simulation
Config - Configuration for quantum simulation.
Functions§
- factor_
graph_ to_ quantum - Convert a factor graph to a quantum simulation.
- run_
qaoa - Run a QAOA optimization.