quantrs2-ml 0.1.3

Quantum Machine Learning module for QuantRS2
Documentation 
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//! # QuantumSSLMetrics - Trait Implementations
//!
//! This module contains trait implementations for `QuantumSSLMetrics`.
//!
//! ## Implemented Traits
//!
//! - `Default`
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use scirs2_core::random::prelude::*;

use super::types::QuantumSSLMetrics;

impl Default for QuantumSSLMetrics {
    fn default() -> Self {
        Self {
            average_entanglement: 0.5,
            coherence_preservation: 0.9,
            quantum_feature_quality: 0.8,
            representation_dimensionality: 128.0,
            transfer_performance: 0.0,
            quantum_speedup_factor: 1.0,
            ssl_convergence_rate: 0.01,
        }
    }
}