quantrs2-ml 0.1.3

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

use super::types::QuantumINRMetrics;

impl Default for QuantumINRMetrics {
    fn default() -> Self {
        Self {
            average_quantum_fidelity: 0.95,
            entanglement_efficiency: 0.8,
            coherence_preservation: 0.9,
            quantum_volume_utilization: 0.7,
            representation_quality: 0.85,
            compression_efficiency: 0.9,
            adaptation_speed: 0.8,
        }
    }
}