use crate::builder::Circuit;
use quantrs2_core::{
error::{QuantRS2Error, QuantRS2Result},
gate::GateOp,
qubit::QubitId,
};
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, HashSet, VecDeque};
use std::sync::{Arc, Mutex};
use std::time::{Duration, Instant};
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub enum SimulatorBackend {
StateVector {
max_qubits: usize,
use_gpu: bool,
memory_optimization: MemoryOptimization,
},
Stabilizer {
support_magic: bool,
use_compression: bool,
},
MatrixProductState {
max_bond_dim: usize,
compression_threshold: f64,
use_cuda: bool,
},
DensityMatrix {
noise_support: bool,
max_size: usize,
},
TensorNetwork {
contraction_strategy: ContractionStrategy,
memory_limit: f64,
},
External {
name: String,
endpoint: Option<String>,
auth_token: Option<String>,
},
}
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub enum MemoryOptimization {
None,
Basic,
Aggressive,
CustomThreshold(f64),
}
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ContractionStrategy {
Greedy,
DynamicProgramming,
SimulatedAnnealing,
Kahypar,
Custom(String),
}
#[derive(Debug, Clone)]
pub struct CompilationTarget {
pub backend: SimulatorBackend,
pub optimization_level: OptimizationLevel,
pub instruction_set: InstructionSet,
pub parallel_execution: bool,
pub batch_size: Option<usize>,
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum OptimizationLevel {
None,
Basic,
Advanced,
Aggressive,
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum InstructionSet {
Universal,
Clifford,
Native { gates: Vec<String> },
Custom {
single_qubit: Vec<String>,
two_qubit: Vec<String>,
multi_qubit: Vec<String>,
},
}
#[derive(Debug, Clone)]
pub struct CompiledCircuit {
pub metadata: CircuitMetadata,
pub instructions: Vec<CompiledInstruction>,
pub resources: ResourceRequirements,
pub stats: CompilationStats,
pub backend_data: BackendData,
}
#[derive(Debug, Clone)]
pub struct CircuitMetadata {
pub num_qubits: usize,
pub depth: usize,
pub gate_counts: HashMap<String, usize>,
pub created_at: std::time::SystemTime,
pub target: CompilationTarget,
}
#[derive(Debug, Clone)]
pub enum CompiledInstruction {
Gate {
name: String,
qubits: Vec<usize>,
parameters: Vec<f64>,
id: usize,
},
Batch {
instructions: Vec<Self>,
parallel: bool,
},
Measure { qubit: usize, classical_bit: usize },
Conditional {
condition: ClassicalCondition,
instruction: Box<Self>,
},
Barrier { qubits: Vec<usize> },
Native { opcode: String, operands: Vec<u8> },
}
#[derive(Debug, Clone)]
pub struct ClassicalCondition {
pub register: String,
pub value: u64,
pub comparison: ComparisonOp,
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum ComparisonOp {
Equal,
NotEqual,
Greater,
Less,
GreaterEqual,
LessEqual,
}
#[derive(Debug, Clone)]
pub struct ResourceRequirements {
pub memory_bytes: usize,
pub estimated_time: Duration,
pub gpu_memory_bytes: Option<usize>,
pub cpu_cores: usize,
pub disk_space_bytes: Option<usize>,
}
#[derive(Debug, Clone)]
pub struct CompilationStats {
pub compilation_time: Duration,
pub original_gates: usize,
pub compiled_gates: usize,
pub optimization_passes: Vec<String>,
pub warnings: Vec<String>,
}
#[derive(Debug, Clone)]
pub enum BackendData {
StateVector {
initial_state: Option<Vec<f64>>,
measurement_strategy: MeasurementStrategy,
},
Stabilizer {
initial_tableau: Option<Vec<u8>>,
},
MatrixProductState {
tensors: Vec<Vec<f64>>,
bond_dims: Vec<usize>,
},
TensorNetwork {
network_topology: String,
contraction_order: Vec<usize>,
},
External {
serialized_circuit: String,
format: String,
},
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum MeasurementStrategy {
EndMeasurement,
MidCircuitMeasurement,
DeferredMeasurement,
}
pub struct CircuitCompiler {
targets: Vec<CompilationTarget>,
optimization_passes: Vec<Box<dyn OptimizationPass>>,
cache: Arc<Mutex<HashMap<String, CompiledCircuit>>>,
stats_collector: Arc<Mutex<GlobalCompilationStats>>,
}
#[derive(Debug, Default)]
pub struct GlobalCompilationStats {
pub total_compilations: usize,
pub cache_hits: usize,
pub average_compilation_time: Duration,
pub backend_usage: HashMap<String, usize>,
}
pub trait OptimizationPass: Send + Sync {
fn apply(&self, circuit: &mut CompiledCircuit) -> QuantRS2Result<()>;
fn name(&self) -> &str;
fn modifies_structure(&self) -> bool;
}
pub struct GateFusionPass {
pub max_fusion_size: usize,
pub fusable_gates: HashSet<String>,
}
impl OptimizationPass for GateFusionPass {
fn apply(&self, circuit: &mut CompiledCircuit) -> QuantRS2Result<()> {
let mut optimized_instructions = Vec::new();
let mut current_batch = Vec::new();
for instruction in &circuit.instructions {
match instruction {
CompiledInstruction::Gate { name, qubits, .. }
if self.fusable_gates.contains(name) && qubits.len() == 1 =>
{
current_batch.push(instruction.clone());
if current_batch.len() >= self.max_fusion_size {
if current_batch.len() > 1 {
optimized_instructions.push(CompiledInstruction::Batch {
instructions: current_batch,
parallel: false,
});
} else {
optimized_instructions.extend(current_batch);
}
current_batch = Vec::new();
}
}
_ => {
if !current_batch.is_empty() {
if current_batch.len() > 1 {
optimized_instructions.push(CompiledInstruction::Batch {
instructions: current_batch,
parallel: false,
});
} else {
optimized_instructions.extend(current_batch);
}
current_batch = Vec::new();
}
optimized_instructions.push(instruction.clone());
}
}
}
if !current_batch.is_empty() {
if current_batch.len() > 1 {
optimized_instructions.push(CompiledInstruction::Batch {
instructions: current_batch,
parallel: false,
});
} else {
optimized_instructions.extend(current_batch);
}
}
circuit.instructions = optimized_instructions;
Ok(())
}
fn name(&self) -> &'static str {
"GateFusion"
}
fn modifies_structure(&self) -> bool {
true
}
}
impl Default for CircuitCompiler {
fn default() -> Self {
Self::new()
}
}
impl CircuitCompiler {
#[must_use]
pub fn new() -> Self {
Self {
targets: Vec::new(),
optimization_passes: Vec::new(),
cache: Arc::new(Mutex::new(HashMap::new())),
stats_collector: Arc::new(Mutex::new(GlobalCompilationStats::default())),
}
}
pub fn add_target(&mut self, target: CompilationTarget) {
self.targets.push(target);
}
pub fn add_optimization_pass(&mut self, pass: Box<dyn OptimizationPass>) {
self.optimization_passes.push(pass);
}
pub fn compile<const N: usize>(&self, circuit: &Circuit<N>) -> QuantRS2Result<CompiledCircuit> {
let start_time = Instant::now();
let cache_key = self.generate_cache_key(circuit);
if let Ok(cache) = self.cache.lock() {
if let Some(cached) = cache.get(&cache_key) {
self.update_stats(true, start_time.elapsed());
return Ok(cached.clone());
}
}
let target = self.select_target(circuit)?;
let mut compiled = self.compile_for_target(circuit, &target)?;
for pass in &self.optimization_passes {
if target.optimization_level != OptimizationLevel::None {
pass.apply(&mut compiled)?;
}
}
compiled.stats.compilation_time = start_time.elapsed();
if let Ok(mut cache) = self.cache.lock() {
cache.insert(cache_key, compiled.clone());
}
self.update_stats(false, start_time.elapsed());
Ok(compiled)
}
pub fn compile_for_target<const N: usize>(
&self,
circuit: &Circuit<N>,
target: &CompilationTarget,
) -> QuantRS2Result<CompiledCircuit> {
let metadata = self.generate_metadata(circuit, target);
let instructions = self.compile_instructions(circuit, target)?;
let resources = self.estimate_resources(&instructions, target);
let backend_data = self.generate_backend_data(circuit, target)?;
let stats = CompilationStats {
compilation_time: Duration::from_millis(0), original_gates: circuit.gates().len(),
compiled_gates: instructions.len(),
optimization_passes: Vec::new(),
warnings: Vec::new(),
};
Ok(CompiledCircuit {
metadata,
instructions,
resources,
stats,
backend_data,
})
}
fn select_target<const N: usize>(
&self,
circuit: &Circuit<N>,
) -> QuantRS2Result<CompilationTarget> {
if self.targets.is_empty() {
return Err(QuantRS2Error::InvalidInput(
"No compilation targets available".to_string(),
));
}
Ok(self.targets[0].clone())
}
fn compile_instructions<const N: usize>(
&self,
circuit: &Circuit<N>,
target: &CompilationTarget,
) -> QuantRS2Result<Vec<CompiledInstruction>> {
let mut instructions = Vec::new();
let mut instruction_id = 0;
for gate in circuit.gates() {
let compiled_gate = self.compile_gate(gate.as_ref(), target, instruction_id)?;
instructions.push(compiled_gate);
instruction_id += 1;
}
if let Some(batch_size) = target.batch_size {
instructions = self.apply_batching(instructions, batch_size);
}
Ok(instructions)
}
fn compile_gate(
&self,
gate: &dyn GateOp,
target: &CompilationTarget,
id: usize,
) -> QuantRS2Result<CompiledInstruction> {
let name = gate.name().to_string();
let qubits: Vec<usize> = gate.qubits().iter().map(|q| q.id() as usize).collect();
let parameters = self.extract_gate_parameters(gate);
if !self.is_gate_supported(&name, &target.instruction_set) {
return Err(QuantRS2Error::InvalidInput(format!(
"Gate {name} not supported by instruction set"
)));
}
Ok(CompiledInstruction::Gate {
name,
qubits,
parameters,
id,
})
}
fn extract_gate_parameters(&self, gate: &dyn GateOp) -> Vec<f64> {
Vec::new()
}
fn is_gate_supported(&self, gate_name: &str, instruction_set: &InstructionSet) -> bool {
match instruction_set {
InstructionSet::Universal => true,
InstructionSet::Clifford => {
matches!(gate_name, "H" | "S" | "CNOT" | "X" | "Y" | "Z")
}
InstructionSet::Native { gates } => gates.contains(&gate_name.to_string()),
InstructionSet::Custom {
single_qubit,
two_qubit,
multi_qubit,
} => {
single_qubit.contains(&gate_name.to_string())
|| two_qubit.contains(&gate_name.to_string())
|| multi_qubit.contains(&gate_name.to_string())
}
}
}
fn apply_batching(
&self,
instructions: Vec<CompiledInstruction>,
batch_size: usize,
) -> Vec<CompiledInstruction> {
let mut batched = Vec::new();
let mut current_batch = Vec::new();
for instruction in instructions {
current_batch.push(instruction);
if current_batch.len() >= batch_size {
batched.push(CompiledInstruction::Batch {
instructions: current_batch,
parallel: true,
});
current_batch = Vec::new();
}
}
if !current_batch.is_empty() {
if current_batch.len() == 1 {
batched.extend(current_batch);
} else {
batched.push(CompiledInstruction::Batch {
instructions: current_batch,
parallel: true,
});
}
}
batched
}
fn generate_metadata<const N: usize>(
&self,
circuit: &Circuit<N>,
target: &CompilationTarget,
) -> CircuitMetadata {
let mut gate_counts = HashMap::new();
for gate in circuit.gates() {
*gate_counts.entry(gate.name().to_string()).or_insert(0) += 1;
}
CircuitMetadata {
num_qubits: N,
depth: circuit.gates().len(), gate_counts,
created_at: std::time::SystemTime::now(),
target: target.clone(),
}
}
fn estimate_resources(
&self,
instructions: &[CompiledInstruction],
target: &CompilationTarget,
) -> ResourceRequirements {
let instruction_count = instructions.len();
let (memory_bytes, estimated_time, gpu_memory) = match &target.backend {
SimulatorBackend::StateVector {
max_qubits,
use_gpu,
..
} => {
let memory = if *max_qubits <= 30 {
(1usize << max_qubits) * 16 } else {
usize::MAX };
let time = Duration::from_millis(instruction_count as u64);
let gpu_mem = if *use_gpu { Some(memory) } else { None };
(memory, time, gpu_mem)
}
SimulatorBackend::Stabilizer { .. } => {
let memory = instruction_count * instruction_count * 8;
let time = Duration::from_millis(instruction_count as u64 / 10);
(memory, time, None)
}
SimulatorBackend::MatrixProductState { max_bond_dim, .. } => {
let memory = instruction_count * max_bond_dim * max_bond_dim * 16;
let time = Duration::from_millis(instruction_count as u64 * 2);
(memory, time, None)
}
_ => {
let memory = instruction_count * 1024;
let time = Duration::from_millis(instruction_count as u64);
(memory, time, None)
}
};
ResourceRequirements {
memory_bytes,
estimated_time,
gpu_memory_bytes: gpu_memory,
cpu_cores: 1,
disk_space_bytes: None,
}
}
fn generate_backend_data<const N: usize>(
&self,
circuit: &Circuit<N>,
target: &CompilationTarget,
) -> QuantRS2Result<BackendData> {
match &target.backend {
SimulatorBackend::StateVector { .. } => Ok(BackendData::StateVector {
initial_state: None,
measurement_strategy: MeasurementStrategy::EndMeasurement,
}),
SimulatorBackend::Stabilizer { .. } => Ok(BackendData::Stabilizer {
initial_tableau: None,
}),
SimulatorBackend::MatrixProductState { max_bond_dim, .. } => {
Ok(BackendData::MatrixProductState {
tensors: Vec::new(),
bond_dims: vec![1; N + 1],
})
}
SimulatorBackend::TensorNetwork { .. } => Ok(BackendData::TensorNetwork {
network_topology: "linear".to_string(),
contraction_order: (0..N).collect(),
}),
SimulatorBackend::External { name, .. } => Ok(BackendData::External {
serialized_circuit: format!("circuit_for_{name}"),
format: "qasm".to_string(),
}),
SimulatorBackend::DensityMatrix { .. } => Ok(BackendData::StateVector {
initial_state: None,
measurement_strategy: MeasurementStrategy::EndMeasurement,
}),
}
}
fn generate_cache_key<const N: usize>(&self, circuit: &Circuit<N>) -> String {
use std::collections::hash_map::DefaultHasher;
use std::hash::{Hash, Hasher};
let mut hasher = DefaultHasher::new();
N.hash(&mut hasher);
circuit.gates().len().hash(&mut hasher);
for gate in circuit.gates() {
gate.name().hash(&mut hasher);
for qubit in gate.qubits() {
qubit.id().hash(&mut hasher);
}
}
format!("{:x}", hasher.finish())
}
fn update_stats(&self, cache_hit: bool, compilation_time: Duration) {
if let Ok(mut stats) = self.stats_collector.lock() {
stats.total_compilations += 1;
if cache_hit {
stats.cache_hits += 1;
}
let total_time =
stats.average_compilation_time.as_nanos() * (stats.total_compilations - 1) as u128;
let new_total = total_time + compilation_time.as_nanos();
stats.average_compilation_time =
Duration::from_nanos((new_total / stats.total_compilations as u128) as u64);
}
}
#[must_use]
pub fn get_stats(&self) -> GlobalCompilationStats {
self.stats_collector
.lock()
.map(|stats| GlobalCompilationStats {
total_compilations: stats.total_compilations,
cache_hits: stats.cache_hits,
average_compilation_time: stats.average_compilation_time,
backend_usage: stats.backend_usage.clone(),
})
.unwrap_or_default()
}
pub fn clear_cache(&self) {
if let Ok(mut cache) = self.cache.lock() {
cache.clear();
}
}
}
pub struct CircuitExecutor {
backends: HashMap<String, Box<dyn SimulatorExecutor>>,
}
pub trait SimulatorExecutor: Send + Sync {
fn execute(&self, circuit: &CompiledCircuit) -> QuantRS2Result<ExecutionResult>;
fn name(&self) -> &str;
fn is_compatible(&self, circuit: &CompiledCircuit) -> bool;
}
#[derive(Debug, Clone)]
pub struct ExecutionResult {
pub measurements: HashMap<usize, Vec<u8>>,
pub final_state: Option<Vec<f64>>,
pub execution_stats: ExecutionStats,
pub backend_results: HashMap<String, String>,
}
#[derive(Debug, Clone)]
pub struct ExecutionStats {
pub execution_time: Duration,
pub memory_used: usize,
pub shots: usize,
pub success_rate: f64,
}
#[cfg(test)]
mod tests {
use super::*;
use quantrs2_core::gate::multi::CNOT;
use quantrs2_core::gate::single::Hadamard;
#[test]
fn test_compiler_creation() {
let compiler = CircuitCompiler::new();
assert_eq!(compiler.targets.len(), 0);
}
#[test]
fn test_compilation_target() {
let target = CompilationTarget {
backend: SimulatorBackend::StateVector {
max_qubits: 20,
use_gpu: false,
memory_optimization: MemoryOptimization::Basic,
},
optimization_level: OptimizationLevel::Basic,
instruction_set: InstructionSet::Universal,
parallel_execution: true,
batch_size: Some(10),
};
assert!(matches!(
target.backend,
SimulatorBackend::StateVector { .. }
));
}
#[test]
fn test_gate_support_checking() {
let compiler = CircuitCompiler::new();
assert!(compiler.is_gate_supported("H", &InstructionSet::Universal));
assert!(compiler.is_gate_supported("CNOT", &InstructionSet::Universal));
assert!(compiler.is_gate_supported("H", &InstructionSet::Clifford));
assert!(!compiler.is_gate_supported("T", &InstructionSet::Clifford));
}
#[test]
fn test_resource_estimation() {
let compiler = CircuitCompiler::new();
let instructions = vec![
CompiledInstruction::Gate {
name: "H".to_string(),
qubits: vec![0],
parameters: vec![],
id: 0,
},
CompiledInstruction::Gate {
name: "CNOT".to_string(),
qubits: vec![0, 1],
parameters: vec![],
id: 1,
},
];
let target = CompilationTarget {
backend: SimulatorBackend::StateVector {
max_qubits: 10,
use_gpu: false,
memory_optimization: MemoryOptimization::None,
},
optimization_level: OptimizationLevel::None,
instruction_set: InstructionSet::Universal,
parallel_execution: false,
batch_size: None,
};
let resources = compiler.estimate_resources(&instructions, &target);
assert!(resources.memory_bytes > 0);
assert!(resources.estimated_time > Duration::from_millis(0));
}
#[test]
fn test_cache_key_generation() {
let compiler = CircuitCompiler::new();
let mut circuit1 = Circuit::<2>::new();
circuit1
.add_gate(Hadamard { target: QubitId(0) })
.expect("add H gate to circuit1");
let mut circuit2 = Circuit::<2>::new();
circuit2
.add_gate(Hadamard { target: QubitId(0) })
.expect("add H gate to circuit2");
let key1 = compiler.generate_cache_key(&circuit1);
let key2 = compiler.generate_cache_key(&circuit2);
assert_eq!(key1, key2); }
#[test]
fn test_gate_fusion_pass() {
let mut fusable_gates = HashSet::new();
fusable_gates.insert("H".to_string());
fusable_gates.insert("X".to_string());
let pass = GateFusionPass {
max_fusion_size: 3,
fusable_gates,
};
assert_eq!(pass.name(), "GateFusion");
assert!(pass.modifies_structure());
}
}