quantrs2-core 0.1.3

Core types and traits for the QuantRS2 quantum computing framework
Documentation 
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//! # TrappedIonOptimizer - Trait Implementations
//!
//! This module contains trait implementations for `TrappedIonOptimizer`.
//!
//! ## Implemented Traits
//!
//! - `PlatformOptimizer`
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use crate::{
    error::{QuantRS2Error, QuantRS2Result},
    gate::GateOp,
    matrix_ops::DenseMatrix,
    pulse::PulseSequence,
    qubit::QubitId,
    synthesis::decompose_two_qubit_kak,
};

use super::functions::PlatformOptimizer;
use super::types::{
    CompiledGate, ErrorModel, HardwareCompilationConfig, OptimizationMetrics, OptimizedSequence,
    PlatformConstraints, TimingConstraints, TrappedIonOptimizer,
};
use std::collections::HashMap;
use std::time::Duration;

impl PlatformOptimizer for TrappedIonOptimizer {
    fn optimize_sequence(
        &self,
        gates: &[CompiledGate],
        _config: &HardwareCompilationConfig,
    ) -> QuantRS2Result<OptimizedSequence> {
        let optimized_gates = gates.to_vec();
        let total_fidelity = self.estimate_fidelity(&optimized_gates);
        let total_time = optimized_gates.iter().map(|g| g.duration).sum();
        Ok(OptimizedSequence {
            gates: optimized_gates,
            total_fidelity,
            total_time,
            metrics: OptimizationMetrics {
                original_gate_count: gates.len(),
                optimized_gate_count: gates.len(),
                gate_count_reduction: 0.0,
                original_depth: gates.len(),
                optimized_depth: gates.len(),
                depth_reduction: 0.0,
                fidelity_improvement: total_fidelity,
                compilation_time: Duration::from_millis(1),
            },
        })
    }
    fn estimate_fidelity(&self, sequence: &[CompiledGate]) -> f64 {
        sequence.iter().map(|g| g.fidelity).product()
    }
    fn get_constraints(&self) -> PlatformConstraints {
        PlatformConstraints {
            max_qubits: 100,
            gate_limitations: vec![],
            timing_constraints: TimingConstraints {
                min_gate_separation: Duration::from_micros(1),
                max_parallel_ops: 10,
                qubit_timing: HashMap::new(),
            },
            error_model: ErrorModel {
                single_qubit_errors: HashMap::new(),
                two_qubit_errors: HashMap::new(),
                readout_errors: HashMap::new(),
                idle_decay_rates: HashMap::new(),
            },
        }
    }
}