quantrs2-tytan 0.1.3

High-level quantum annealing interface inspired by Tytan for the QuantRS2 framework
Documentation 
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//! # AIOptimizerConfig - Trait Implementations
//!
//! This module contains trait implementations for `AIOptimizerConfig`.
//!
//! ## Implemented Traits
//!
//! - `Default`
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use super::types::AIOptimizerConfig;

impl Default for AIOptimizerConfig {
    fn default() -> Self {
        Self {
            parameter_optimization_enabled: true,
            reinforcement_learning_enabled: true,
            auto_algorithm_selection_enabled: true,
            structure_recognition_enabled: true,
            quality_prediction_enabled: true,
            learning_rate: 0.001,
            batch_size: 32,
            max_training_iterations: 1000,
            convergence_threshold: 1e-6,
            replay_buffer_size: 10000,
        }
    }
}