use super::functions::AlgorithmTemplate;
use super::types::{
AlgorithmSpecification, CircuitMetadata, GateMetadata, OptimizationReport,
QuantumAlgorithmType, ResourceEstimates, SynthesizedCircuit, SynthesizedGate, TemplateInfo,
VQETemplate,
};
use crate::error::{QuantRS2Error, QuantRS2Result};
use crate::QubitId;
use std::collections::HashMap;
use std::time::{Duration, Instant};
impl AlgorithmTemplate for VQETemplate {
fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
let num_qubits = spec.parameters.num_qubits;
let mut gates = Vec::new();
for i in 0..num_qubits {
gates.push(SynthesizedGate {
name: "Ry".to_string(),
qubits: vec![QubitId::new(i as u32)],
parameters: vec![spec
.parameters
.variational_params
.get(i)
.copied()
.unwrap_or(0.0)],
matrix: None,
metadata: GateMetadata {
layer: 0,
purpose: "Parameterized rotation".to_string(),
hints: vec!["single_qubit".to_string()],
hardware_preferences: vec!["any".to_string()],
},
});
}
for i in 0..num_qubits - 1 {
gates.push(SynthesizedGate {
name: "CNOT".to_string(),
qubits: vec![QubitId::new(i as u32), QubitId::new((i + 1) as u32)],
parameters: vec![],
matrix: None,
metadata: GateMetadata {
layer: 1,
purpose: "Entangling gate".to_string(),
hints: vec!["two_qubit".to_string()],
hardware_preferences: vec!["any".to_string()],
},
});
}
for i in 0..num_qubits {
let param_idx = num_qubits + i;
gates.push(SynthesizedGate {
name: "Rz".to_string(),
qubits: vec![QubitId::new(i as u32)],
parameters: vec![spec
.parameters
.variational_params
.get(param_idx)
.copied()
.unwrap_or(0.0)],
matrix: None,
metadata: GateMetadata {
layer: 2,
purpose: "Parameterized rotation".to_string(),
hints: vec!["single_qubit".to_string()],
hardware_preferences: vec!["any".to_string()],
},
});
}
let qubit_mapping: HashMap<String, QubitId> = (0..num_qubits)
.map(|i| (format!("q{i}"), QubitId::new(i as u32)))
.collect();
let resource_estimates = ResourceEstimates {
gate_count: gates.len(),
circuit_depth: 3,
qubit_count: num_qubits,
gate_breakdown: {
let mut breakdown = HashMap::new();
breakdown.insert("Ry".to_string(), num_qubits);
breakdown.insert("CNOT".to_string(), num_qubits - 1);
breakdown.insert("Rz".to_string(), num_qubits);
breakdown
},
estimated_execution_time: Duration::from_micros((gates.len() * 100) as u64),
memory_requirements: 1 << num_qubits,
parallelization_factor: 0.5,
};
Ok(SynthesizedCircuit {
gates,
qubit_mapping,
metadata: CircuitMetadata {
source_algorithm: QuantumAlgorithmType::VQE,
synthesis_time: Instant::now(),
synthesis_duration: Duration::default(),
algorithm_version: "1.0.0".to_string(),
synthesis_parameters: HashMap::new(),
},
resource_estimates: resource_estimates.clone(),
optimization_report: OptimizationReport {
original_stats: resource_estimates.clone(),
optimized_stats: resource_estimates,
optimizations_applied: vec![],
improvements: HashMap::new(),
},
})
}
fn estimate_resources(
&self,
spec: &AlgorithmSpecification,
) -> QuantRS2Result<ResourceEstimates> {
let num_qubits = spec.parameters.num_qubits;
let gate_count = num_qubits * 2 + (num_qubits - 1);
Ok(ResourceEstimates {
gate_count,
circuit_depth: 3,
qubit_count: num_qubits,
gate_breakdown: HashMap::new(),
estimated_execution_time: Duration::from_micros((gate_count * 100) as u64),
memory_requirements: 1 << num_qubits,
parallelization_factor: 0.5,
})
}
fn get_template_info(&self) -> TemplateInfo {
TemplateInfo {
name: "VQE".to_string(),
supported_parameters: vec!["num_qubits".to_string(), "variational_params".to_string()],
required_parameters: vec!["num_qubits".to_string()],
complexity_scaling: "O(n^2)".to_string(),
hardware_compatibility: vec!["all".to_string()],
}
}
fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
if spec.parameters.num_qubits == 0 {
return Err(QuantRS2Error::InvalidParameter(
"num_qubits must be > 0".to_string(),
));
}
Ok(())
}
}