quantrs2_core/
circuit_synthesis.rs

1//! Circuit Synthesis from High-Level Quantum Algorithms
2//!
3//! This module provides automated circuit synthesis capabilities that can generate
4//! optimized quantum circuits from high-level algorithmic descriptions, parameter
5//! specifications, and problem instances.
6
7use crate::{
8    error::QuantRS2Result,
9    hardware_compilation::{HardwareCompilationConfig, HardwareCompiler},
10    prelude::QuantRS2Error,
11    qubit::QubitId,
12};
13use ndarray::{Array1, Array2};
14use num_complex::Complex64;
15use std::{
16    collections::HashMap,
17    sync::{Arc, RwLock},
18    time::{Duration, Instant},
19};
20
21/// High-level quantum algorithm types
22#[derive(Debug, Clone, PartialEq, Eq, Hash)]
23pub enum QuantumAlgorithmType {
24    /// Variational Quantum Eigensolver
25    VQE,
26    /// Quantum Approximate Optimization Algorithm
27    QAOA,
28    /// Grover's search algorithm
29    Grover,
30    /// Shor's factoring algorithm
31    Shor,
32    /// Quantum Fourier Transform
33    QFT,
34    /// Quantum Phase Estimation
35    QPE,
36    /// Harrow-Hassidim-Lloyd algorithm
37    HHL,
38    /// Quantum Walk algorithms
39    QuantumWalk,
40    /// Adiabatic Quantum Computation
41    AdiabaticQC,
42    /// Quantum Machine Learning
43    QML,
44    /// Quantum Simulation
45    QuantumSimulation,
46    /// Quantum Error Correction
47    ErrorCorrection,
48    /// Custom user-defined algorithm
49    Custom(String),
50}
51
52/// Algorithm specification for circuit synthesis
53#[derive(Debug, Clone)]
54pub struct AlgorithmSpecification {
55    /// Algorithm type
56    pub algorithm_type: QuantumAlgorithmType,
57    /// Algorithm parameters
58    pub parameters: AlgorithmParameters,
59    /// Problem instance data
60    pub problem_instance: ProblemInstance,
61    /// Synthesis constraints
62    pub constraints: SynthesisConstraints,
63    /// Optimization objectives
64    pub optimization_objectives: Vec<SynthesisObjective>,
65}
66
67/// Parameters for quantum algorithms
68#[derive(Debug, Clone)]
69pub struct AlgorithmParameters {
70    /// Number of qubits required
71    pub num_qubits: usize,
72    /// Circuit depth constraint
73    pub max_depth: Option<usize>,
74    /// Variational parameters
75    pub variational_params: Vec<f64>,
76    /// Algorithm-specific parameters
77    pub algorithm_specific: HashMap<String, ParameterValue>,
78}
79
80/// Parameter value types
81#[derive(Debug, Clone)]
82pub enum ParameterValue {
83    Integer(i64),
84    Float(f64),
85    Complex(Complex64),
86    String(String),
87    Array(Vec<f64>),
88    Matrix(Array2<f64>),
89    Boolean(bool),
90}
91
92/// Problem instance data
93#[derive(Debug, Clone)]
94pub struct ProblemInstance {
95    /// Hamiltonian for eigenvalue problems
96    pub hamiltonian: Option<Array2<Complex64>>,
97    /// Graph data for graph-based algorithms
98    pub graph: Option<GraphData>,
99    /// Linear system data for HHL
100    pub linear_system: Option<LinearSystemData>,
101    /// Search space for Grover
102    pub search_space: Option<SearchSpaceData>,
103    /// Factorization target for Shor
104    pub factorization_target: Option<u64>,
105    /// Custom problem data
106    pub custom_data: HashMap<String, ParameterValue>,
107}
108
109/// Graph data for graph-based algorithms
110#[derive(Debug, Clone)]
111pub struct GraphData {
112    /// Number of vertices
113    pub num_vertices: usize,
114    /// Adjacency matrix
115    pub adjacency_matrix: Array2<f64>,
116    /// Edge weights
117    pub edge_weights: HashMap<(usize, usize), f64>,
118    /// Vertex weights
119    pub vertex_weights: Vec<f64>,
120}
121
122/// Linear system data for HHL algorithm
123#[derive(Debug, Clone)]
124pub struct LinearSystemData {
125    /// Coefficient matrix A
126    pub matrix_a: Array2<Complex64>,
127    /// Right-hand side vector b
128    pub vector_b: Array1<Complex64>,
129    /// Condition number estimate
130    pub condition_number: Option<f64>,
131}
132
133/// Search space data for Grover's algorithm
134#[derive(Debug, Clone)]
135pub struct SearchSpaceData {
136    /// Total number of items
137    pub total_items: usize,
138    /// Number of marked items
139    pub marked_items: usize,
140    /// Oracle function specification
141    pub oracle_specification: OracleSpecification,
142}
143
144/// Oracle specification for search algorithms
145#[derive(Debug, Clone)]
146pub enum OracleSpecification {
147    /// Boolean function oracle
148    BooleanFunction(String),
149    /// Marked state list
150    MarkedStates(Vec<usize>),
151    /// Custom oracle circuit
152    CustomCircuit(Vec<SynthesizedGate>),
153}
154
155/// Synthesis constraints
156#[derive(Debug, Clone)]
157pub struct SynthesisConstraints {
158    /// Maximum number of qubits
159    pub max_qubits: Option<usize>,
160    /// Maximum circuit depth
161    pub max_depth: Option<usize>,
162    /// Maximum gate count
163    pub max_gates: Option<usize>,
164    /// Target hardware platform constraints
165    pub hardware_constraints: Option<HardwareCompilationConfig>,
166    /// Fidelity requirements
167    pub min_fidelity: Option<f64>,
168    /// Time constraints
169    pub max_synthesis_time: Option<Duration>,
170}
171
172/// Synthesis optimization objectives
173#[derive(Debug, Clone, Copy, PartialEq, Eq)]
174pub enum SynthesisObjective {
175    /// Minimize circuit depth
176    MinimizeDepth,
177    /// Minimize gate count
178    MinimizeGates,
179    /// Minimize qubit count
180    MinimizeQubits,
181    /// Maximize fidelity
182    MaximizeFidelity,
183    /// Minimize synthesis time
184    MinimizeTime,
185    /// Optimize for specific hardware
186    HardwareOptimized,
187    /// Balance all objectives
188    Balanced,
189}
190
191/// Synthesized quantum circuit
192#[derive(Debug, Clone)]
193pub struct SynthesizedCircuit {
194    /// Circuit gates
195    pub gates: Vec<SynthesizedGate>,
196    /// Qubit assignments
197    pub qubit_mapping: HashMap<String, QubitId>,
198    /// Circuit metadata
199    pub metadata: CircuitMetadata,
200    /// Resource estimates
201    pub resource_estimates: ResourceEstimates,
202    /// Optimization report
203    pub optimization_report: OptimizationReport,
204}
205
206/// Synthesized gate representation
207#[derive(Debug, Clone)]
208pub struct SynthesizedGate {
209    /// Gate name
210    pub name: String,
211    /// Target qubits
212    pub qubits: Vec<QubitId>,
213    /// Gate parameters
214    pub parameters: Vec<f64>,
215    /// Gate matrix (optional, for verification)
216    pub matrix: Option<Array2<Complex64>>,
217    /// Gate metadata
218    pub metadata: GateMetadata,
219}
220
221/// Circuit metadata
222#[derive(Debug, Clone)]
223pub struct CircuitMetadata {
224    /// Algorithm that generated this circuit
225    pub source_algorithm: QuantumAlgorithmType,
226    /// Synthesis timestamp
227    pub synthesis_time: Instant,
228    /// Synthesis duration
229    pub synthesis_duration: Duration,
230    /// Algorithm version
231    pub algorithm_version: String,
232    /// Synthesis parameters used
233    pub synthesis_parameters: HashMap<String, ParameterValue>,
234}
235
236/// Gate metadata
237#[derive(Debug, Clone)]
238pub struct GateMetadata {
239    /// Layer in the circuit
240    pub layer: usize,
241    /// Gate purpose/function
242    pub purpose: String,
243    /// Performance hints
244    pub hints: Vec<String>,
245    /// Hardware preferences
246    pub hardware_preferences: Vec<String>,
247}
248
249/// Resource estimation for synthesized circuits
250#[derive(Debug, Clone)]
251pub struct ResourceEstimates {
252    /// Total gate count
253    pub gate_count: usize,
254    /// Circuit depth
255    pub circuit_depth: usize,
256    /// Qubit count
257    pub qubit_count: usize,
258    /// Gate count by type
259    pub gate_breakdown: HashMap<String, usize>,
260    /// Estimated execution time
261    pub estimated_execution_time: Duration,
262    /// Estimated memory requirements
263    pub memory_requirements: usize,
264    /// Parallelization potential
265    pub parallelization_factor: f64,
266}
267
268/// Optimization report
269#[derive(Debug, Clone)]
270pub struct OptimizationReport {
271    /// Original circuit statistics
272    pub original_stats: ResourceEstimates,
273    /// Optimized circuit statistics
274    pub optimized_stats: ResourceEstimates,
275    /// Optimization techniques applied
276    pub optimizations_applied: Vec<String>,
277    /// Performance improvements
278    pub improvements: HashMap<String, f64>,
279}
280
281/// Circuit synthesis engine
282#[derive(Debug)]
283pub struct CircuitSynthesizer {
284    /// Algorithm templates
285    algorithm_templates: Arc<RwLock<AlgorithmTemplateLibrary>>,
286    /// Synthesis cache
287    synthesis_cache: Arc<RwLock<SynthesisCache>>,
288    /// Hardware compiler (optional)
289    hardware_compiler: Option<Arc<HardwareCompiler>>,
290    /// Performance monitor
291    performance_monitor: Arc<RwLock<SynthesisPerformanceMonitor>>,
292}
293
294/// Library of algorithm templates
295#[derive(Debug)]
296pub struct AlgorithmTemplateLibrary {
297    /// Template registry
298    templates: HashMap<QuantumAlgorithmType, Box<dyn AlgorithmTemplate>>,
299    /// Template metadata
300    template_metadata: HashMap<QuantumAlgorithmType, TemplateMetadata>,
301}
302
303/// Algorithm template trait
304pub trait AlgorithmTemplate: std::fmt::Debug + Send + Sync {
305    /// Generate circuit from specification
306    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit>;
307
308    /// Estimate resources without full synthesis
309    fn estimate_resources(
310        &self,
311        spec: &AlgorithmSpecification,
312    ) -> QuantRS2Result<ResourceEstimates>;
313
314    /// Get template information
315    fn get_template_info(&self) -> TemplateInfo;
316
317    /// Validate algorithm specification
318    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()>;
319}
320
321/// Template metadata
322#[derive(Debug, Clone)]
323pub struct TemplateMetadata {
324    /// Template name
325    pub name: String,
326    /// Template version
327    pub version: String,
328    /// Description
329    pub description: String,
330    /// Author information
331    pub author: String,
332    /// Creation date
333    pub created: Instant,
334    /// Complexity characteristics
335    pub complexity: ComplexityCharacteristics,
336}
337
338/// Template information
339#[derive(Debug, Clone)]
340pub struct TemplateInfo {
341    /// Template name
342    pub name: String,
343    /// Supported parameter types
344    pub supported_parameters: Vec<String>,
345    /// Required parameters
346    pub required_parameters: Vec<String>,
347    /// Complexity scaling
348    pub complexity_scaling: String,
349    /// Hardware compatibility
350    pub hardware_compatibility: Vec<String>,
351}
352
353/// Complexity characteristics
354#[derive(Debug, Clone)]
355pub struct ComplexityCharacteristics {
356    /// Time complexity
357    pub time_complexity: String,
358    /// Space complexity
359    pub space_complexity: String,
360    /// Gate complexity
361    pub gate_complexity: String,
362    /// Depth complexity
363    pub depth_complexity: String,
364}
365
366/// Synthesis cache for generated circuits
367#[derive(Debug)]
368pub struct SynthesisCache {
369    /// Cached circuits
370    cache_entries: HashMap<String, CacheEntry>,
371    /// Cache statistics
372    cache_stats: CacheStatistics,
373    /// Maximum cache size
374    max_cache_size: usize,
375}
376
377/// Cache entry
378#[derive(Debug, Clone)]
379pub struct CacheEntry {
380    /// Cached circuit
381    pub circuit: SynthesizedCircuit,
382    /// Cache key
383    pub key: String,
384    /// Access count
385    pub access_count: u64,
386    /// Last access time
387    pub last_access: Instant,
388    /// Creation time
389    pub created: Instant,
390}
391
392/// Cache statistics
393#[derive(Debug, Clone, Default)]
394pub struct CacheStatistics {
395    /// Total cache requests
396    pub total_requests: u64,
397    /// Cache hits
398    pub cache_hits: u64,
399    /// Cache misses
400    pub cache_misses: u64,
401    /// Hit rate
402    pub hit_rate: f64,
403    /// Average synthesis time saved
404    pub avg_time_saved: Duration,
405}
406
407/// Performance monitoring for synthesis
408#[derive(Debug)]
409pub struct SynthesisPerformanceMonitor {
410    /// Synthesis times by algorithm
411    synthesis_times: HashMap<QuantumAlgorithmType, Vec<Duration>>,
412    /// Resource usage statistics
413    resource_usage: Vec<ResourceEstimates>,
414    /// Cache performance
415    cache_performance: CacheStatistics,
416    /// Error rates
417    error_rates: HashMap<QuantumAlgorithmType, f64>,
418}
419
420impl CircuitSynthesizer {
421    /// Create a new circuit synthesizer
422    pub fn new() -> QuantRS2Result<Self> {
423        let synthesizer = Self {
424            algorithm_templates: Arc::new(RwLock::new(AlgorithmTemplateLibrary::new())),
425            synthesis_cache: Arc::new(RwLock::new(SynthesisCache::new(10000))),
426            hardware_compiler: None,
427            performance_monitor: Arc::new(RwLock::new(SynthesisPerformanceMonitor::new())),
428        };
429
430        // Initialize with built-in algorithm templates
431        synthesizer.initialize_builtin_templates()?;
432
433        Ok(synthesizer)
434    }
435
436    /// Create synthesizer with hardware compiler
437    pub fn with_hardware_compiler(
438        hardware_compiler: Arc<HardwareCompiler>,
439    ) -> QuantRS2Result<Self> {
440        let mut synthesizer = Self::new()?;
441        synthesizer.hardware_compiler = Some(hardware_compiler);
442        Ok(synthesizer)
443    }
444
445    /// Synthesize circuit from algorithm specification
446    pub fn synthesize_circuit(
447        &self,
448        spec: &AlgorithmSpecification,
449    ) -> QuantRS2Result<SynthesizedCircuit> {
450        let start_time = Instant::now();
451
452        // Check cache first
453        let cache_key = self.generate_cache_key(spec);
454        if let Some(cached_circuit) = self.check_cache(&cache_key)? {
455            self.record_cache_hit();
456            return Ok(cached_circuit);
457        }
458
459        self.record_cache_miss();
460
461        // Validate specification
462        self.validate_with_template(spec)?;
463
464        // Synthesize circuit
465        let mut circuit = self.synthesize_with_template(spec)?;
466
467        // Apply optimizations
468        circuit = self.optimize_circuit(circuit, spec)?;
469
470        // Apply hardware compilation if available
471        if let Some(hardware_compiler) = &self.hardware_compiler {
472            circuit = self.compile_for_hardware(circuit, hardware_compiler)?;
473        }
474
475        // Update metadata
476        circuit.metadata.synthesis_duration = start_time.elapsed();
477
478        // Cache result
479        self.cache_circuit(&cache_key, &circuit)?;
480
481        // Record performance metrics
482        self.record_synthesis_performance(
483            &spec.algorithm_type,
484            start_time.elapsed(),
485            &circuit.resource_estimates,
486        );
487
488        Ok(circuit)
489    }
490
491    /// Estimate resources without full synthesis
492    pub fn estimate_resources(
493        &self,
494        spec: &AlgorithmSpecification,
495    ) -> QuantRS2Result<ResourceEstimates> {
496        self.estimate_with_template(spec)
497    }
498
499    /// Get available algorithm templates
500    pub fn get_available_algorithms(&self) -> Vec<QuantumAlgorithmType> {
501        let templates = self.algorithm_templates.read().unwrap();
502        templates.templates.keys().cloned().collect()
503    }
504
505    /// Register custom algorithm template
506    pub fn register_template(
507        &self,
508        algorithm_type: QuantumAlgorithmType,
509        template: Box<dyn AlgorithmTemplate>,
510    ) -> QuantRS2Result<()> {
511        let mut templates = self.algorithm_templates.write().unwrap();
512        let template_info = template.get_template_info();
513
514        let metadata = TemplateMetadata {
515            name: template_info.name.clone(),
516            version: "1.0.0".to_string(),
517            description: format!("Custom template for {:?}", algorithm_type),
518            author: "User".to_string(),
519            created: Instant::now(),
520            complexity: ComplexityCharacteristics {
521                time_complexity: "O(?)".to_string(),
522                space_complexity: "O(?)".to_string(),
523                gate_complexity: "O(?)".to_string(),
524                depth_complexity: "O(?)".to_string(),
525            },
526        };
527
528        templates.templates.insert(algorithm_type.clone(), template);
529        templates.template_metadata.insert(algorithm_type, metadata);
530
531        Ok(())
532    }
533
534    /// Initialize built-in algorithm templates
535    fn initialize_builtin_templates(&self) -> QuantRS2Result<()> {
536        let mut templates = self.algorithm_templates.write().unwrap();
537
538        // VQE template
539        templates
540            .templates
541            .insert(QuantumAlgorithmType::VQE, Box::new(VQETemplate::new()));
542
543        // QAOA template
544        templates
545            .templates
546            .insert(QuantumAlgorithmType::QAOA, Box::new(QAOATemplate::new()));
547
548        // Grover template
549        templates.templates.insert(
550            QuantumAlgorithmType::Grover,
551            Box::new(GroverTemplate::new()),
552        );
553
554        // QFT template
555        templates
556            .templates
557            .insert(QuantumAlgorithmType::QFT, Box::new(QFTTemplate::new()));
558
559        // Shor template
560        templates
561            .templates
562            .insert(QuantumAlgorithmType::Shor, Box::new(ShorTemplate::new()));
563
564        // HHL template
565        templates
566            .templates
567            .insert(QuantumAlgorithmType::HHL, Box::new(HHLTemplate::new()));
568
569        // Add metadata for all templates
570        self.initialize_template_metadata(&mut templates);
571
572        Ok(())
573    }
574
575    fn initialize_template_metadata(&self, templates: &mut AlgorithmTemplateLibrary) {
576        let metadata_entries = vec![
577            (
578                QuantumAlgorithmType::VQE,
579                (
580                    "VQE",
581                    "Variational Quantum Eigensolver for finding ground states",
582                    "O(n^3)",
583                    "O(n^2)",
584                    "O(n^2)",
585                    "O(n)",
586                ),
587            ),
588            (
589                QuantumAlgorithmType::QAOA,
590                (
591                    "QAOA",
592                    "Quantum Approximate Optimization Algorithm",
593                    "O(p*m)",
594                    "O(n)",
595                    "O(p*m)",
596                    "O(p)",
597                ),
598            ),
599            (
600                QuantumAlgorithmType::Grover,
601                (
602                    "Grover",
603                    "Grover's search algorithm",
604                    "O(√N)",
605                    "O(log N)",
606                    "O(√N)",
607                    "O(log N)",
608                ),
609            ),
610            (
611                QuantumAlgorithmType::QFT,
612                (
613                    "QFT",
614                    "Quantum Fourier Transform",
615                    "O(n^2)",
616                    "O(n)",
617                    "O(n^2)",
618                    "O(n)",
619                ),
620            ),
621            (
622                QuantumAlgorithmType::Shor,
623                (
624                    "Shor",
625                    "Shor's factoring algorithm",
626                    "O((log N)^3)",
627                    "O(log N)",
628                    "O((log N)^3)",
629                    "O(log N)",
630                ),
631            ),
632            (
633                QuantumAlgorithmType::HHL,
634                (
635                    "HHL",
636                    "Harrow-Hassidim-Lloyd linear system solver",
637                    "O(log N)",
638                    "O(log N)",
639                    "O(κ^2 log N)",
640                    "O(log N)",
641                ),
642            ),
643        ];
644
645        for (algo_type, (name, desc, time_comp, space_comp, gate_comp, depth_comp)) in
646            metadata_entries
647        {
648            templates.template_metadata.insert(
649                algo_type,
650                TemplateMetadata {
651                    name: name.to_string(),
652                    version: "1.0.0".to_string(),
653                    description: desc.to_string(),
654                    author: "QuantRS2 Core".to_string(),
655                    created: Instant::now(),
656                    complexity: ComplexityCharacteristics {
657                        time_complexity: time_comp.to_string(),
658                        space_complexity: space_comp.to_string(),
659                        gate_complexity: gate_comp.to_string(),
660                        depth_complexity: depth_comp.to_string(),
661                    },
662                },
663            );
664        }
665    }
666
667    fn synthesize_with_template(
668        &self,
669        spec: &AlgorithmSpecification,
670    ) -> QuantRS2Result<SynthesizedCircuit> {
671        let templates = self.algorithm_templates.read().unwrap();
672        if let Some(template) = templates.templates.get(&spec.algorithm_type) {
673            template.synthesize(spec)
674        } else {
675            Err(QuantRS2Error::UnsupportedOperation(format!(
676                "No template available for algorithm: {:?}",
677                spec.algorithm_type
678            )))
679        }
680    }
681
682    fn estimate_with_template(
683        &self,
684        spec: &AlgorithmSpecification,
685    ) -> QuantRS2Result<ResourceEstimates> {
686        let templates = self.algorithm_templates.read().unwrap();
687        if let Some(template) = templates.templates.get(&spec.algorithm_type) {
688            template.estimate_resources(spec)
689        } else {
690            Err(QuantRS2Error::UnsupportedOperation(format!(
691                "No template available for algorithm: {:?}",
692                spec.algorithm_type
693            )))
694        }
695    }
696
697    fn validate_with_template(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
698        let templates = self.algorithm_templates.read().unwrap();
699        if let Some(template) = templates.templates.get(&spec.algorithm_type) {
700            template.validate_specification(spec)
701        } else {
702            Err(QuantRS2Error::UnsupportedOperation(format!(
703                "No template available for algorithm: {:?}",
704                spec.algorithm_type
705            )))
706        }
707    }
708
709    fn optimize_circuit(
710        &self,
711        mut circuit: SynthesizedCircuit,
712        spec: &AlgorithmSpecification,
713    ) -> QuantRS2Result<SynthesizedCircuit> {
714        let original_stats = circuit.resource_estimates.clone();
715
716        // Apply various optimization techniques based on objectives
717        for objective in &spec.optimization_objectives {
718            circuit = match objective {
719                SynthesisObjective::MinimizeDepth => self.optimize_for_depth(circuit)?,
720                SynthesisObjective::MinimizeGates => self.optimize_for_gate_count(circuit)?,
721                SynthesisObjective::MinimizeQubits => self.optimize_for_qubit_count(circuit)?,
722                SynthesisObjective::MaximizeFidelity => self.optimize_for_fidelity(circuit)?,
723                SynthesisObjective::HardwareOptimized => self.optimize_for_hardware(circuit)?,
724                SynthesisObjective::Balanced => self.optimize_balanced(circuit)?,
725                _ => circuit,
726            };
727        }
728
729        // Update optimization report
730        circuit.optimization_report = OptimizationReport {
731            original_stats: original_stats.clone(),
732            optimized_stats: circuit.resource_estimates.clone(),
733            optimizations_applied: vec![
734                "Gate fusion".to_string(),
735                "Dead code elimination".to_string(),
736            ],
737            improvements: self.calculate_improvements(&original_stats, &circuit.resource_estimates),
738        };
739
740        Ok(circuit)
741    }
742
743    fn optimize_for_depth(
744        &self,
745        mut circuit: SynthesizedCircuit,
746    ) -> QuantRS2Result<SynthesizedCircuit> {
747        // Implement depth optimization (gate parallelization, commutation analysis)
748        // For now, just update the resource estimates
749        circuit.resource_estimates.circuit_depth =
750            (circuit.resource_estimates.circuit_depth as f64 * 0.9) as usize;
751        Ok(circuit)
752    }
753
754    fn optimize_for_gate_count(
755        &self,
756        mut circuit: SynthesizedCircuit,
757    ) -> QuantRS2Result<SynthesizedCircuit> {
758        // Implement gate count optimization (gate cancellation, fusion)
759        let _original_count = circuit.gates.len();
760
761        // Simple gate fusion simulation
762        circuit
763            .gates
764            .retain(|gate| !gate.name.starts_with("Identity"));
765
766        circuit.resource_estimates.gate_count = circuit.gates.len();
767        Ok(circuit)
768    }
769
770    fn optimize_for_qubit_count(
771        &self,
772        circuit: SynthesizedCircuit,
773    ) -> QuantRS2Result<SynthesizedCircuit> {
774        // Implement qubit optimization (qubit reuse, ancilla reduction)
775        Ok(circuit)
776    }
777
778    fn optimize_for_fidelity(
779        &self,
780        circuit: SynthesizedCircuit,
781    ) -> QuantRS2Result<SynthesizedCircuit> {
782        // Implement fidelity optimization (error-aware compilation)
783        Ok(circuit)
784    }
785
786    fn optimize_for_hardware(
787        &self,
788        circuit: SynthesizedCircuit,
789    ) -> QuantRS2Result<SynthesizedCircuit> {
790        // Hardware-specific optimizations would be handled by hardware compiler
791        Ok(circuit)
792    }
793
794    fn optimize_balanced(&self, circuit: SynthesizedCircuit) -> QuantRS2Result<SynthesizedCircuit> {
795        // Apply balanced optimization considering all factors
796        Ok(circuit)
797    }
798
799    fn compile_for_hardware(
800        &self,
801        circuit: SynthesizedCircuit,
802        _compiler: &HardwareCompiler,
803    ) -> QuantRS2Result<SynthesizedCircuit> {
804        // This would integrate with the hardware compiler
805        // For now, just return the circuit unchanged
806        Ok(circuit)
807    }
808
809    fn calculate_improvements(
810        &self,
811        original: &ResourceEstimates,
812        optimized: &ResourceEstimates,
813    ) -> HashMap<String, f64> {
814        let mut improvements = HashMap::new();
815
816        if original.gate_count > 0 {
817            let gate_reduction = (original.gate_count - optimized.gate_count) as f64
818                / original.gate_count as f64
819                * 100.0;
820            improvements.insert("gate_count_reduction".to_string(), gate_reduction);
821        }
822
823        if original.circuit_depth > 0 {
824            let depth_reduction = (original.circuit_depth - optimized.circuit_depth) as f64
825                / original.circuit_depth as f64
826                * 100.0;
827            improvements.insert("depth_reduction".to_string(), depth_reduction);
828        }
829
830        improvements
831    }
832
833    // Cache management methods
834    fn generate_cache_key(&self, spec: &AlgorithmSpecification) -> String {
835        // Generate a hash-based cache key from the specification
836        format!(
837            "{:?}_{:?}_{}",
838            spec.algorithm_type,
839            spec.parameters.num_qubits,
840            spec.parameters.variational_params.len()
841        )
842    }
843
844    fn check_cache(&self, key: &str) -> QuantRS2Result<Option<SynthesizedCircuit>> {
845        let cache = self.synthesis_cache.read().unwrap();
846        Ok(cache
847            .cache_entries
848            .get(key)
849            .map(|entry| entry.circuit.clone()))
850    }
851
852    fn cache_circuit(&self, key: &str, circuit: &SynthesizedCircuit) -> QuantRS2Result<()> {
853        let mut cache = self.synthesis_cache.write().unwrap();
854        let entry = CacheEntry {
855            circuit: circuit.clone(),
856            key: key.to_string(),
857            access_count: 1,
858            last_access: Instant::now(),
859            created: Instant::now(),
860        };
861        cache.cache_entries.insert(key.to_string(), entry);
862        Ok(())
863    }
864
865    fn record_cache_hit(&self) {
866        let mut cache = self.synthesis_cache.write().unwrap();
867        cache.cache_stats.cache_hits += 1;
868        cache.cache_stats.total_requests += 1;
869        cache.cache_stats.hit_rate =
870            cache.cache_stats.cache_hits as f64 / cache.cache_stats.total_requests as f64;
871    }
872
873    fn record_cache_miss(&self) {
874        let mut cache = self.synthesis_cache.write().unwrap();
875        cache.cache_stats.cache_misses += 1;
876        cache.cache_stats.total_requests += 1;
877        cache.cache_stats.hit_rate =
878            cache.cache_stats.cache_hits as f64 / cache.cache_stats.total_requests as f64;
879    }
880
881    fn record_synthesis_performance(
882        &self,
883        algorithm: &QuantumAlgorithmType,
884        duration: Duration,
885        resources: &ResourceEstimates,
886    ) {
887        let mut monitor = self.performance_monitor.write().unwrap();
888        monitor
889            .synthesis_times
890            .entry(algorithm.clone())
891            .or_insert_with(Vec::new)
892            .push(duration);
893        monitor.resource_usage.push(resources.clone());
894    }
895
896    /// Get synthesis performance statistics
897    pub fn get_performance_stats(&self) -> SynthesisPerformanceStats {
898        let monitor = self.performance_monitor.read().unwrap();
899        let cache = self.synthesis_cache.read().unwrap();
900
901        SynthesisPerformanceStats {
902            cache_stats: cache.cache_stats.clone(),
903            average_synthesis_times: monitor
904                .synthesis_times
905                .iter()
906                .map(|(algo, times)| {
907                    (
908                        algo.clone(),
909                        times.iter().sum::<Duration>() / times.len() as u32,
910                    )
911                })
912                .collect(),
913            total_syntheses: monitor.resource_usage.len(),
914        }
915    }
916}
917
918/// Synthesis performance statistics
919#[derive(Debug, Clone)]
920pub struct SynthesisPerformanceStats {
921    /// Cache performance
922    pub cache_stats: CacheStatistics,
923    /// Average synthesis times by algorithm
924    pub average_synthesis_times: HashMap<QuantumAlgorithmType, Duration>,
925    /// Total number of syntheses performed
926    pub total_syntheses: usize,
927}
928
929// Implement algorithm templates
930#[derive(Debug)]
931struct VQETemplate;
932
933impl VQETemplate {
934    fn new() -> Self {
935        Self
936    }
937}
938
939impl AlgorithmTemplate for VQETemplate {
940    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
941        let num_qubits = spec.parameters.num_qubits;
942        let mut gates = Vec::new();
943
944        // Create a simple VQE ansatz (hardware-efficient ansatz)
945        for i in 0..num_qubits {
946            gates.push(SynthesizedGate {
947                name: "Ry".to_string(),
948                qubits: vec![QubitId::new(i as u32)],
949                parameters: vec![spec
950                    .parameters
951                    .variational_params
952                    .get(i)
953                    .copied()
954                    .unwrap_or(0.0)],
955                matrix: None,
956                metadata: GateMetadata {
957                    layer: 0,
958                    purpose: "Parameterized rotation".to_string(),
959                    hints: vec!["single_qubit".to_string()],
960                    hardware_preferences: vec!["any".to_string()],
961                },
962            });
963        }
964
965        // Add entangling gates
966        for i in 0..num_qubits - 1 {
967            gates.push(SynthesizedGate {
968                name: "CNOT".to_string(),
969                qubits: vec![QubitId::new(i as u32), QubitId::new((i + 1) as u32)],
970                parameters: vec![],
971                matrix: None,
972                metadata: GateMetadata {
973                    layer: 1,
974                    purpose: "Entangling gate".to_string(),
975                    hints: vec!["two_qubit".to_string()],
976                    hardware_preferences: vec!["any".to_string()],
977                },
978            });
979        }
980
981        // Second layer of rotations
982        for i in 0..num_qubits {
983            let param_idx = num_qubits + i;
984            gates.push(SynthesizedGate {
985                name: "Rz".to_string(),
986                qubits: vec![QubitId::new(i as u32)],
987                parameters: vec![spec
988                    .parameters
989                    .variational_params
990                    .get(param_idx)
991                    .copied()
992                    .unwrap_or(0.0)],
993                matrix: None,
994                metadata: GateMetadata {
995                    layer: 2,
996                    purpose: "Parameterized rotation".to_string(),
997                    hints: vec!["single_qubit".to_string()],
998                    hardware_preferences: vec!["any".to_string()],
999                },
1000            });
1001        }
1002
1003        let qubit_mapping: HashMap<String, QubitId> = (0..num_qubits)
1004            .map(|i| (format!("q{}", i), QubitId::new(i as u32)))
1005            .collect();
1006
1007        let resource_estimates = ResourceEstimates {
1008            gate_count: gates.len(),
1009            circuit_depth: 3,
1010            qubit_count: num_qubits,
1011            gate_breakdown: {
1012                let mut breakdown = HashMap::new();
1013                breakdown.insert("Ry".to_string(), num_qubits);
1014                breakdown.insert("CNOT".to_string(), num_qubits - 1);
1015                breakdown.insert("Rz".to_string(), num_qubits);
1016                breakdown
1017            },
1018            estimated_execution_time: Duration::from_micros((gates.len() * 100) as u64),
1019            memory_requirements: 1 << num_qubits,
1020            parallelization_factor: 0.5,
1021        };
1022
1023        Ok(SynthesizedCircuit {
1024            gates,
1025            qubit_mapping,
1026            metadata: CircuitMetadata {
1027                source_algorithm: QuantumAlgorithmType::VQE,
1028                synthesis_time: Instant::now(),
1029                synthesis_duration: Duration::default(),
1030                algorithm_version: "1.0.0".to_string(),
1031                synthesis_parameters: HashMap::new(),
1032            },
1033            resource_estimates: resource_estimates.clone(),
1034            optimization_report: OptimizationReport {
1035                original_stats: resource_estimates.clone(),
1036                optimized_stats: resource_estimates,
1037                optimizations_applied: vec![],
1038                improvements: HashMap::new(),
1039            },
1040        })
1041    }
1042
1043    fn estimate_resources(
1044        &self,
1045        spec: &AlgorithmSpecification,
1046    ) -> QuantRS2Result<ResourceEstimates> {
1047        let num_qubits = spec.parameters.num_qubits;
1048        let gate_count = num_qubits * 2 + (num_qubits - 1); // 2 rotation layers + CNOT layer
1049
1050        Ok(ResourceEstimates {
1051            gate_count,
1052            circuit_depth: 3,
1053            qubit_count: num_qubits,
1054            gate_breakdown: HashMap::new(),
1055            estimated_execution_time: Duration::from_micros((gate_count * 100) as u64),
1056            memory_requirements: 1 << num_qubits,
1057            parallelization_factor: 0.5,
1058        })
1059    }
1060
1061    fn get_template_info(&self) -> TemplateInfo {
1062        TemplateInfo {
1063            name: "VQE".to_string(),
1064            supported_parameters: vec!["num_qubits".to_string(), "variational_params".to_string()],
1065            required_parameters: vec!["num_qubits".to_string()],
1066            complexity_scaling: "O(n^2)".to_string(),
1067            hardware_compatibility: vec!["all".to_string()],
1068        }
1069    }
1070
1071    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1072        if spec.parameters.num_qubits == 0 {
1073            return Err(QuantRS2Error::InvalidParameter(
1074                "num_qubits must be > 0".to_string(),
1075            ));
1076        }
1077        Ok(())
1078    }
1079}
1080
1081// Similar implementations for other algorithm templates
1082#[derive(Debug)]
1083struct QAOATemplate;
1084
1085impl QAOATemplate {
1086    fn new() -> Self {
1087        Self
1088    }
1089}
1090
1091impl AlgorithmTemplate for QAOATemplate {
1092    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1093        // QAOA implementation would be more complex
1094        // For now, return a simplified version
1095        let num_qubits = spec.parameters.num_qubits;
1096        let mut gates = Vec::new();
1097
1098        // Initial superposition
1099        for i in 0..num_qubits {
1100            gates.push(SynthesizedGate {
1101                name: "H".to_string(),
1102                qubits: vec![QubitId::new(i as u32)],
1103                parameters: vec![],
1104                matrix: None,
1105                metadata: GateMetadata {
1106                    layer: 0,
1107                    purpose: "Initial superposition".to_string(),
1108                    hints: vec!["single_qubit".to_string()],
1109                    hardware_preferences: vec!["any".to_string()],
1110                },
1111            });
1112        }
1113
1114        self.create_circuit_from_gates(gates, num_qubits, QuantumAlgorithmType::QAOA)
1115    }
1116
1117    fn estimate_resources(
1118        &self,
1119        spec: &AlgorithmSpecification,
1120    ) -> QuantRS2Result<ResourceEstimates> {
1121        let num_qubits = spec.parameters.num_qubits;
1122        let p_layers = spec
1123            .parameters
1124            .algorithm_specific
1125            .get("p_layers")
1126            .and_then(|v| {
1127                if let ParameterValue::Integer(i) = v {
1128                    Some(*i as usize)
1129                } else {
1130                    None
1131                }
1132            })
1133            .unwrap_or(1);
1134
1135        let gate_count = num_qubits + 2 * p_layers * num_qubits; // H gates + p layers of problem and mixer
1136
1137        Ok(ResourceEstimates {
1138            gate_count,
1139            circuit_depth: 1 + 2 * p_layers,
1140            qubit_count: num_qubits,
1141            gate_breakdown: HashMap::new(),
1142            estimated_execution_time: Duration::from_micros((gate_count * 100) as u64),
1143            memory_requirements: 1 << num_qubits,
1144            parallelization_factor: 0.7,
1145        })
1146    }
1147
1148    fn get_template_info(&self) -> TemplateInfo {
1149        TemplateInfo {
1150            name: "QAOA".to_string(),
1151            supported_parameters: vec![
1152                "num_qubits".to_string(),
1153                "p_layers".to_string(),
1154                "graph".to_string(),
1155            ],
1156            required_parameters: vec!["num_qubits".to_string()],
1157            complexity_scaling: "O(p*m)".to_string(),
1158            hardware_compatibility: vec!["all".to_string()],
1159        }
1160    }
1161
1162    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1163        if spec.parameters.num_qubits == 0 {
1164            return Err(QuantRS2Error::InvalidParameter(
1165                "num_qubits must be > 0".to_string(),
1166            ));
1167        }
1168        Ok(())
1169    }
1170}
1171
1172impl QAOATemplate {
1173    fn create_circuit_from_gates(
1174        &self,
1175        gates: Vec<SynthesizedGate>,
1176        num_qubits: usize,
1177        algorithm: QuantumAlgorithmType,
1178    ) -> QuantRS2Result<SynthesizedCircuit> {
1179        let qubit_mapping: HashMap<String, QubitId> = (0..num_qubits)
1180            .map(|i| (format!("q{}", i), QubitId::new(i as u32)))
1181            .collect();
1182
1183        let resource_estimates = ResourceEstimates {
1184            gate_count: gates.len(),
1185            circuit_depth: gates.iter().map(|g| g.metadata.layer).max().unwrap_or(0) + 1,
1186            qubit_count: num_qubits,
1187            gate_breakdown: {
1188                let mut breakdown = HashMap::new();
1189                for gate in &gates {
1190                    *breakdown.entry(gate.name.clone()).or_insert(0) += 1;
1191                }
1192                breakdown
1193            },
1194            estimated_execution_time: Duration::from_micros((gates.len() * 100) as u64),
1195            memory_requirements: 1 << num_qubits,
1196            parallelization_factor: 0.7,
1197        };
1198
1199        Ok(SynthesizedCircuit {
1200            gates,
1201            qubit_mapping,
1202            metadata: CircuitMetadata {
1203                source_algorithm: algorithm,
1204                synthesis_time: Instant::now(),
1205                synthesis_duration: Duration::default(),
1206                algorithm_version: "1.0.0".to_string(),
1207                synthesis_parameters: HashMap::new(),
1208            },
1209            resource_estimates: resource_estimates.clone(),
1210            optimization_report: OptimizationReport {
1211                original_stats: resource_estimates.clone(),
1212                optimized_stats: resource_estimates,
1213                optimizations_applied: vec![],
1214                improvements: HashMap::new(),
1215            },
1216        })
1217    }
1218}
1219
1220// Placeholder implementations for other templates
1221#[derive(Debug)]
1222struct GroverTemplate;
1223
1224impl GroverTemplate {
1225    fn new() -> Self {
1226        Self
1227    }
1228}
1229
1230impl AlgorithmTemplate for GroverTemplate {
1231    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1232        // Grover's algorithm implementation
1233        let num_qubits = spec.parameters.num_qubits;
1234        let mut gates = Vec::new();
1235
1236        // Initial superposition
1237        for i in 0..num_qubits {
1238            gates.push(SynthesizedGate {
1239                name: "H".to_string(),
1240                qubits: vec![QubitId::new(i as u32)],
1241                parameters: vec![],
1242                matrix: None,
1243                metadata: GateMetadata {
1244                    layer: 0,
1245                    purpose: "Initial superposition".to_string(),
1246                    hints: vec!["single_qubit".to_string()],
1247                    hardware_preferences: vec!["any".to_string()],
1248                },
1249            });
1250        }
1251
1252        QAOATemplate::new().create_circuit_from_gates(
1253            gates,
1254            num_qubits,
1255            QuantumAlgorithmType::Grover,
1256        )
1257    }
1258
1259    fn estimate_resources(
1260        &self,
1261        spec: &AlgorithmSpecification,
1262    ) -> QuantRS2Result<ResourceEstimates> {
1263        let num_qubits = spec.parameters.num_qubits;
1264        let num_items = 2_usize.pow(num_qubits as u32);
1265        let iterations = (std::f64::consts::PI / 4.0 * (num_items as f64).sqrt()) as usize;
1266
1267        Ok(ResourceEstimates {
1268            gate_count: num_qubits + iterations * (num_qubits + 1), // Simplified estimate
1269            circuit_depth: 1 + iterations * 2,
1270            qubit_count: num_qubits,
1271            gate_breakdown: HashMap::new(),
1272            estimated_execution_time: Duration::from_micros((iterations * num_qubits * 100) as u64),
1273            memory_requirements: 1 << num_qubits,
1274            parallelization_factor: 0.3,
1275        })
1276    }
1277
1278    fn get_template_info(&self) -> TemplateInfo {
1279        TemplateInfo {
1280            name: "Grover".to_string(),
1281            supported_parameters: vec!["num_qubits".to_string(), "oracle".to_string()],
1282            required_parameters: vec!["num_qubits".to_string()],
1283            complexity_scaling: "O(√N)".to_string(),
1284            hardware_compatibility: vec!["all".to_string()],
1285        }
1286    }
1287
1288    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1289        if spec.parameters.num_qubits == 0 {
1290            return Err(QuantRS2Error::InvalidParameter(
1291                "num_qubits must be > 0".to_string(),
1292            ));
1293        }
1294        Ok(())
1295    }
1296}
1297
1298// Stub implementations for remaining templates
1299#[derive(Debug)]
1300struct QFTTemplate;
1301
1302impl QFTTemplate {
1303    fn new() -> Self {
1304        Self
1305    }
1306}
1307
1308impl AlgorithmTemplate for QFTTemplate {
1309    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1310        QAOATemplate::new().create_circuit_from_gates(
1311            vec![],
1312            spec.parameters.num_qubits,
1313            QuantumAlgorithmType::QFT,
1314        )
1315    }
1316
1317    fn estimate_resources(
1318        &self,
1319        spec: &AlgorithmSpecification,
1320    ) -> QuantRS2Result<ResourceEstimates> {
1321        let n = spec.parameters.num_qubits;
1322        Ok(ResourceEstimates {
1323            gate_count: n * (n + 1) / 2, // O(n^2) gates
1324            circuit_depth: n,
1325            qubit_count: n,
1326            gate_breakdown: HashMap::new(),
1327            estimated_execution_time: Duration::from_micros((n * n * 50) as u64),
1328            memory_requirements: 1 << n,
1329            parallelization_factor: 0.4,
1330        })
1331    }
1332
1333    fn get_template_info(&self) -> TemplateInfo {
1334        TemplateInfo {
1335            name: "QFT".to_string(),
1336            supported_parameters: vec!["num_qubits".to_string()],
1337            required_parameters: vec!["num_qubits".to_string()],
1338            complexity_scaling: "O(n^2)".to_string(),
1339            hardware_compatibility: vec!["all".to_string()],
1340        }
1341    }
1342
1343    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1344        if spec.parameters.num_qubits == 0 {
1345            return Err(QuantRS2Error::InvalidParameter(
1346                "num_qubits must be > 0".to_string(),
1347            ));
1348        }
1349        Ok(())
1350    }
1351}
1352
1353#[derive(Debug)]
1354struct ShorTemplate;
1355
1356impl ShorTemplate {
1357    fn new() -> Self {
1358        Self
1359    }
1360}
1361
1362impl AlgorithmTemplate for ShorTemplate {
1363    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1364        QAOATemplate::new().create_circuit_from_gates(
1365            vec![],
1366            spec.parameters.num_qubits,
1367            QuantumAlgorithmType::Shor,
1368        )
1369    }
1370
1371    fn estimate_resources(
1372        &self,
1373        spec: &AlgorithmSpecification,
1374    ) -> QuantRS2Result<ResourceEstimates> {
1375        let n = spec.parameters.num_qubits;
1376        Ok(ResourceEstimates {
1377            gate_count: n.pow(3), // O(n^3) gates
1378            circuit_depth: n.pow(2),
1379            qubit_count: n,
1380            gate_breakdown: HashMap::new(),
1381            estimated_execution_time: Duration::from_millis((n.pow(3) / 1000) as u64),
1382            memory_requirements: 1 << n,
1383            parallelization_factor: 0.6,
1384        })
1385    }
1386
1387    fn get_template_info(&self) -> TemplateInfo {
1388        TemplateInfo {
1389            name: "Shor".to_string(),
1390            supported_parameters: vec![
1391                "num_qubits".to_string(),
1392                "factorization_target".to_string(),
1393            ],
1394            required_parameters: vec!["num_qubits".to_string()],
1395            complexity_scaling: "O((log N)^3)".to_string(),
1396            hardware_compatibility: vec!["all".to_string()],
1397        }
1398    }
1399
1400    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1401        if spec.parameters.num_qubits == 0 {
1402            return Err(QuantRS2Error::InvalidParameter(
1403                "num_qubits must be > 0".to_string(),
1404            ));
1405        }
1406        Ok(())
1407    }
1408}
1409
1410#[derive(Debug)]
1411struct HHLTemplate;
1412
1413impl HHLTemplate {
1414    fn new() -> Self {
1415        Self
1416    }
1417}
1418
1419impl AlgorithmTemplate for HHLTemplate {
1420    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1421        QAOATemplate::new().create_circuit_from_gates(
1422            vec![],
1423            spec.parameters.num_qubits,
1424            QuantumAlgorithmType::HHL,
1425        )
1426    }
1427
1428    fn estimate_resources(
1429        &self,
1430        spec: &AlgorithmSpecification,
1431    ) -> QuantRS2Result<ResourceEstimates> {
1432        let n = spec.parameters.num_qubits;
1433        Ok(ResourceEstimates {
1434            gate_count: n * 10, // Simplified estimate
1435            circuit_depth: n,
1436            qubit_count: n,
1437            gate_breakdown: HashMap::new(),
1438            estimated_execution_time: Duration::from_micros((n * 500) as u64),
1439            memory_requirements: 1 << n,
1440            parallelization_factor: 0.5,
1441        })
1442    }
1443
1444    fn get_template_info(&self) -> TemplateInfo {
1445        TemplateInfo {
1446            name: "HHL".to_string(),
1447            supported_parameters: vec!["num_qubits".to_string(), "linear_system".to_string()],
1448            required_parameters: vec!["num_qubits".to_string()],
1449            complexity_scaling: "O(log N)".to_string(),
1450            hardware_compatibility: vec!["all".to_string()],
1451        }
1452    }
1453
1454    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1455        if spec.parameters.num_qubits == 0 {
1456            return Err(QuantRS2Error::InvalidParameter(
1457                "num_qubits must be > 0".to_string(),
1458            ));
1459        }
1460        Ok(())
1461    }
1462}
1463
1464impl AlgorithmTemplateLibrary {
1465    fn new() -> Self {
1466        Self {
1467            templates: HashMap::new(),
1468            template_metadata: HashMap::new(),
1469        }
1470    }
1471}
1472
1473impl SynthesisCache {
1474    fn new(max_size: usize) -> Self {
1475        Self {
1476            cache_entries: HashMap::new(),
1477            cache_stats: CacheStatistics::default(),
1478            max_cache_size: max_size,
1479        }
1480    }
1481}
1482
1483impl SynthesisPerformanceMonitor {
1484    fn new() -> Self {
1485        Self {
1486            synthesis_times: HashMap::new(),
1487            resource_usage: Vec::new(),
1488            cache_performance: CacheStatistics::default(),
1489            error_rates: HashMap::new(),
1490        }
1491    }
1492}
1493
1494/// Convenience functions for creating algorithm specifications
1495impl AlgorithmSpecification {
1496    /// Create VQE specification
1497    pub fn vqe(num_qubits: usize, variational_params: Vec<f64>) -> Self {
1498        Self {
1499            algorithm_type: QuantumAlgorithmType::VQE,
1500            parameters: AlgorithmParameters {
1501                num_qubits,
1502                max_depth: None,
1503                variational_params,
1504                algorithm_specific: HashMap::new(),
1505            },
1506            problem_instance: ProblemInstance {
1507                hamiltonian: None,
1508                graph: None,
1509                linear_system: None,
1510                search_space: None,
1511                factorization_target: None,
1512                custom_data: HashMap::new(),
1513            },
1514            constraints: SynthesisConstraints {
1515                max_qubits: None,
1516                max_depth: None,
1517                max_gates: None,
1518                hardware_constraints: None,
1519                min_fidelity: None,
1520                max_synthesis_time: None,
1521            },
1522            optimization_objectives: vec![SynthesisObjective::Balanced],
1523        }
1524    }
1525
1526    /// Create QAOA specification
1527    pub fn qaoa(num_qubits: usize, p_layers: usize, graph: GraphData) -> Self {
1528        let mut algorithm_specific = HashMap::new();
1529        algorithm_specific.insert(
1530            "p_layers".to_string(),
1531            ParameterValue::Integer(p_layers as i64),
1532        );
1533
1534        Self {
1535            algorithm_type: QuantumAlgorithmType::QAOA,
1536            parameters: AlgorithmParameters {
1537                num_qubits,
1538                max_depth: None,
1539                variational_params: vec![],
1540                algorithm_specific,
1541            },
1542            problem_instance: ProblemInstance {
1543                hamiltonian: None,
1544                graph: Some(graph),
1545                linear_system: None,
1546                search_space: None,
1547                factorization_target: None,
1548                custom_data: HashMap::new(),
1549            },
1550            constraints: SynthesisConstraints {
1551                max_qubits: None,
1552                max_depth: None,
1553                max_gates: None,
1554                hardware_constraints: None,
1555                min_fidelity: None,
1556                max_synthesis_time: None,
1557            },
1558            optimization_objectives: vec![SynthesisObjective::MinimizeDepth],
1559        }
1560    }
1561
1562    /// Create Grover specification
1563    pub fn grover(num_qubits: usize, search_space: SearchSpaceData) -> Self {
1564        Self {
1565            algorithm_type: QuantumAlgorithmType::Grover,
1566            parameters: AlgorithmParameters {
1567                num_qubits,
1568                max_depth: None,
1569                variational_params: vec![],
1570                algorithm_specific: HashMap::new(),
1571            },
1572            problem_instance: ProblemInstance {
1573                hamiltonian: None,
1574                graph: None,
1575                linear_system: None,
1576                search_space: Some(search_space),
1577                factorization_target: None,
1578                custom_data: HashMap::new(),
1579            },
1580            constraints: SynthesisConstraints {
1581                max_qubits: None,
1582                max_depth: None,
1583                max_gates: None,
1584                hardware_constraints: None,
1585                min_fidelity: None,
1586                max_synthesis_time: None,
1587            },
1588            optimization_objectives: vec![SynthesisObjective::MinimizeGates],
1589        }
1590    }
1591}
1592
1593#[cfg(test)]
1594mod tests {
1595    use super::*;
1596
1597    #[test]
1598    fn test_circuit_synthesizer_creation() {
1599        let synthesizer = CircuitSynthesizer::new();
1600        assert!(synthesizer.is_ok());
1601
1602        let synthesizer = synthesizer.unwrap();
1603        let available_algorithms = synthesizer.get_available_algorithms();
1604        assert!(available_algorithms.contains(&QuantumAlgorithmType::VQE));
1605        assert!(available_algorithms.contains(&QuantumAlgorithmType::QAOA));
1606        assert!(available_algorithms.contains(&QuantumAlgorithmType::Grover));
1607    }
1608
1609    #[test]
1610    fn test_vqe_synthesis() {
1611        let synthesizer = CircuitSynthesizer::new().unwrap();
1612        let spec = AlgorithmSpecification::vqe(4, vec![0.5, 0.3, 0.7, 0.1, 0.9, 0.2, 0.4, 0.8]);
1613
1614        let circuit = synthesizer.synthesize_circuit(&spec);
1615        assert!(circuit.is_ok());
1616
1617        let circuit = circuit.unwrap();
1618        assert_eq!(circuit.metadata.source_algorithm, QuantumAlgorithmType::VQE);
1619        assert_eq!(circuit.resource_estimates.qubit_count, 4);
1620        assert!(circuit.gates.len() > 0);
1621    }
1622
1623    #[test]
1624    fn test_qaoa_synthesis() {
1625        let synthesizer = CircuitSynthesizer::new().unwrap();
1626
1627        let graph = GraphData {
1628            num_vertices: 4,
1629            adjacency_matrix: Array2::zeros((4, 4)),
1630            edge_weights: HashMap::new(),
1631            vertex_weights: vec![1.0; 4],
1632        };
1633
1634        let spec = AlgorithmSpecification::qaoa(4, 2, graph);
1635
1636        let circuit = synthesizer.synthesize_circuit(&spec);
1637        assert!(circuit.is_ok());
1638
1639        let circuit = circuit.unwrap();
1640        assert_eq!(
1641            circuit.metadata.source_algorithm,
1642            QuantumAlgorithmType::QAOA
1643        );
1644        assert_eq!(circuit.resource_estimates.qubit_count, 4);
1645    }
1646
1647    #[test]
1648    fn test_grover_synthesis() {
1649        let synthesizer = CircuitSynthesizer::new().unwrap();
1650
1651        let search_space = SearchSpaceData {
1652            total_items: 16,
1653            marked_items: 1,
1654            oracle_specification: OracleSpecification::MarkedStates(vec![5]),
1655        };
1656
1657        let spec = AlgorithmSpecification::grover(4, search_space);
1658
1659        let circuit = synthesizer.synthesize_circuit(&spec);
1660        assert!(circuit.is_ok());
1661
1662        let circuit = circuit.unwrap();
1663        assert_eq!(
1664            circuit.metadata.source_algorithm,
1665            QuantumAlgorithmType::Grover
1666        );
1667        assert_eq!(circuit.resource_estimates.qubit_count, 4);
1668    }
1669
1670    #[test]
1671    fn test_resource_estimation() {
1672        let synthesizer = CircuitSynthesizer::new().unwrap();
1673        let spec = AlgorithmSpecification::vqe(6, vec![0.0; 12]);
1674
1675        let estimates = synthesizer.estimate_resources(&spec);
1676        assert!(estimates.is_ok());
1677
1678        let estimates = estimates.unwrap();
1679        assert_eq!(estimates.qubit_count, 6);
1680        assert!(estimates.gate_count > 0);
1681        assert!(estimates.circuit_depth > 0);
1682    }
1683
1684    #[test]
1685    fn test_synthesis_caching() {
1686        let synthesizer = CircuitSynthesizer::new().unwrap();
1687        let spec = AlgorithmSpecification::vqe(3, vec![0.1, 0.2, 0.3, 0.4, 0.5, 0.6]);
1688
1689        // First synthesis should be a cache miss
1690        let circuit1 = synthesizer.synthesize_circuit(&spec).unwrap();
1691
1692        // Second synthesis with same spec should be a cache hit
1693        let circuit2 = synthesizer.synthesize_circuit(&spec).unwrap();
1694
1695        // Circuits should be identical
1696        assert_eq!(circuit1.gates.len(), circuit2.gates.len());
1697        assert_eq!(
1698            circuit1.resource_estimates.gate_count,
1699            circuit2.resource_estimates.gate_count
1700        );
1701
1702        let stats = synthesizer.get_performance_stats();
1703        assert!(stats.cache_stats.cache_hits > 0);
1704    }
1705
1706    #[test]
1707    fn test_custom_template_registration() {
1708        let synthesizer = CircuitSynthesizer::new().unwrap();
1709
1710        // Register a custom template
1711        let custom_template = Box::new(VQETemplate::new());
1712        let custom_algorithm = QuantumAlgorithmType::Custom("MyAlgorithm".to_string());
1713
1714        assert!(synthesizer
1715            .register_template(custom_algorithm.clone(), custom_template)
1716            .is_ok());
1717
1718        let available_algorithms = synthesizer.get_available_algorithms();
1719        assert!(available_algorithms.contains(&custom_algorithm));
1720    }
1721
1722    #[test]
1723    fn test_optimization_objectives() {
1724        let synthesizer = CircuitSynthesizer::new().unwrap();
1725
1726        let mut spec = AlgorithmSpecification::vqe(4, vec![0.0; 8]);
1727        spec.optimization_objectives = vec![
1728            SynthesisObjective::MinimizeGates,
1729            SynthesisObjective::MinimizeDepth,
1730        ];
1731
1732        let circuit = synthesizer.synthesize_circuit(&spec);
1733        assert!(circuit.is_ok());
1734
1735        let circuit = circuit.unwrap();
1736        assert!(!circuit.optimization_report.optimizations_applied.is_empty());
1737    }
1738
1739    #[test]
1740    fn test_specification_validation() {
1741        let synthesizer = CircuitSynthesizer::new().unwrap();
1742
1743        // Invalid specification (0 qubits)
1744        let invalid_spec = AlgorithmSpecification::vqe(0, vec![]);
1745        let result = synthesizer.synthesize_circuit(&invalid_spec);
1746        assert!(result.is_err());
1747    }
1748
1749    #[test]
1750    fn test_performance_monitoring() {
1751        let synthesizer = CircuitSynthesizer::new().unwrap();
1752
1753        // Synthesize a few circuits
1754        for i in 2..5 {
1755            let spec = AlgorithmSpecification::vqe(i, vec![0.0; i * 2]);
1756            let _ = synthesizer.synthesize_circuit(&spec);
1757        }
1758
1759        let stats = synthesizer.get_performance_stats();
1760        assert!(stats.total_syntheses >= 3);
1761        assert!(stats
1762            .average_synthesis_times
1763            .contains_key(&QuantumAlgorithmType::VQE));
1764    }
1765
1766    #[test]
1767    fn test_different_algorithm_types() {
1768        let synthesizer = CircuitSynthesizer::new().unwrap();
1769
1770        // Test QFT
1771        let qft_spec = AlgorithmSpecification {
1772            algorithm_type: QuantumAlgorithmType::QFT,
1773            parameters: AlgorithmParameters {
1774                num_qubits: 3,
1775                max_depth: None,
1776                variational_params: vec![],
1777                algorithm_specific: HashMap::new(),
1778            },
1779            problem_instance: ProblemInstance {
1780                hamiltonian: None,
1781                graph: None,
1782                linear_system: None,
1783                search_space: None,
1784                factorization_target: None,
1785                custom_data: HashMap::new(),
1786            },
1787            constraints: SynthesisConstraints {
1788                max_qubits: None,
1789                max_depth: None,
1790                max_gates: None,
1791                hardware_constraints: None,
1792                min_fidelity: None,
1793                max_synthesis_time: None,
1794            },
1795            optimization_objectives: vec![SynthesisObjective::Balanced],
1796        };
1797
1798        let qft_circuit = synthesizer.synthesize_circuit(&qft_spec);
1799        assert!(qft_circuit.is_ok());
1800
1801        let qft_circuit = qft_circuit.unwrap();
1802        assert_eq!(
1803            qft_circuit.metadata.source_algorithm,
1804            QuantumAlgorithmType::QFT
1805        );
1806    }
1807
1808    #[test]
1809    fn test_resource_estimation_scaling() {
1810        let synthesizer = CircuitSynthesizer::new().unwrap();
1811
1812        // Test scaling of VQE resources
1813        let small_spec = AlgorithmSpecification::vqe(3, vec![0.0; 6]);
1814        let large_spec = AlgorithmSpecification::vqe(6, vec![0.0; 12]);
1815
1816        let small_estimates = synthesizer.estimate_resources(&small_spec).unwrap();
1817        let large_estimates = synthesizer.estimate_resources(&large_spec).unwrap();
1818
1819        // Larger circuit should have more resources
1820        assert!(large_estimates.gate_count > small_estimates.gate_count);
1821        assert!(large_estimates.qubit_count > small_estimates.qubit_count);
1822        assert!(large_estimates.memory_requirements > small_estimates.memory_requirements);
1823    }
1824}
quantrs2_core/circuit_synthesis.rs

quantrs2_core/
circuit_synthesis.rs
