quantrs2-ml 0.1.3

Quantum Machine Learning module for QuantRS2
Documentation 
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//! # FlowOptimizationState - Trait Implementations
//!
//! This module contains trait implementations for `FlowOptimizationState`.
//!
//! ## 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::FlowOptimizationState;

impl Default for FlowOptimizationState {
    fn default() -> Self {
        Self {
            learning_rate: 1e-4,
            momentum: 0.9,
            gradient_clipping_norm: 1.0,
            quantum_parameter_learning_rate: 1e-5,
            entanglement_preservation_weight: 0.1,
            invertibility_penalty_weight: 0.05,
        }
    }
}