quantrs2-ml 0.1.3

Quantum Machine Learning module for QuantRS2
Documentation 
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//! Resource Management Module
//!
//! This module provides quantum resource optimization and management functionality.

use crate::automl::config::QuantumConstraints;
use crate::error::Result;

/// Quantum resource optimizer
#[derive(Debug, Clone)]
pub struct QuantumResourceOptimizer {
    /// Hardware constraints
    constraints: QuantumConstraints,

    /// Resource allocation strategy
    allocation_strategy: ResourceAllocationStrategy,

    /// Current resource usage
    current_usage: ResourceUsage,
}

/// Resource allocation strategies
#[derive(Debug, Clone)]
pub enum ResourceAllocationStrategy {
    Conservative,
    Balanced,
    Aggressive,
    Custom {
        parameters: std::collections::HashMap<String, f64>,
    },
}

/// Resource usage tracking
#[derive(Debug, Clone)]
pub struct ResourceUsage {
    /// Memory usage (MB)
    pub memory_mb: f64,

    /// Quantum circuit resources
    pub quantum_resources: QuantumResourceUsage,

    /// Compute time
    pub compute_time: f64,
}

/// Quantum resource usage
#[derive(Debug, Clone)]
pub struct QuantumResourceUsage {
    /// Qubits allocated
    pub qubits_allocated: usize,

    /// Circuit depth used
    pub circuit_depth_used: usize,

    /// Total gates used
    pub gates_used: usize,

    /// Coherence time consumed
    pub coherence_time_used: f64,
}

impl QuantumResourceOptimizer {
    /// Create a new resource optimizer
    pub fn new(constraints: &QuantumConstraints) -> Self {
        Self {
            constraints: constraints.clone(),
            allocation_strategy: ResourceAllocationStrategy::Balanced,
            current_usage: ResourceUsage::default(),
        }
    }

    /// Optimize resource allocation for a given workload
    pub fn optimize_allocation(
        &mut self,
        workload_requirements: &WorkloadRequirements,
    ) -> Result<ResourceAllocation> {
        // Simplified resource optimization
        Ok(ResourceAllocation {
            qubits_allocated: std::cmp::min(
                workload_requirements.qubits_needed,
                self.constraints.available_qubits,
            ),
            memory_allocated: workload_requirements.memory_needed.min(2048.0), // 2GB limit
            time_allocated: workload_requirements.time_needed.min(3600.0),     // 1 hour limit
        })
    }
}

/// Workload requirements
#[derive(Debug, Clone)]
pub struct WorkloadRequirements {
    pub qubits_needed: usize,
    pub memory_needed: f64,
    pub time_needed: f64,
}

/// Resource allocation result
#[derive(Debug, Clone)]
pub struct ResourceAllocation {
    pub qubits_allocated: usize,
    pub memory_allocated: f64,
    pub time_allocated: f64,
}

impl Default for ResourceUsage {
    fn default() -> Self {
        Self {
            memory_mb: 0.0,
            quantum_resources: QuantumResourceUsage::default(),
            compute_time: 0.0,
        }
    }
}

impl Default for QuantumResourceUsage {
    fn default() -> Self {
        Self {
            qubits_allocated: 0,
            circuit_depth_used: 0,
            gates_used: 0,
            coherence_time_used: 0.0,
        }
    }
}