quantrs2-ml 0.1.3

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

use super::*;
use crate::error::{MLError, Result};
use scirs2_core::ndarray::*;
use scirs2_core::random::prelude::*;
use scirs2_core::{Complex32, Complex64};
use std::f64::consts::PI;

use super::types::QuantumFlowMetrics;

impl Default for QuantumFlowMetrics {
    fn default() -> Self {
        Self {
            average_entanglement: 0.5,
            coherence_preservation: 1.0,
            invertibility_accuracy: 1.0,
            quantum_volume_utilization: 0.0,
            flow_conditioning: 1.0,
            quantum_speedup_factor: 1.0,
            density_estimation_accuracy: 0.0,
        }
    }
}