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 scirs2_core::ndarray::{Array1, Array2};
14use scirs2_core::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().expect(
502            "Failed to acquire read lock on algorithm_templates in get_available_algorithms",
503        );
504        templates.templates.keys().cloned().collect()
505    }
506
507    /// Register custom algorithm template
508    pub fn register_template(
509        &self,
510        algorithm_type: QuantumAlgorithmType,
511        template: Box<dyn AlgorithmTemplate>,
512    ) -> QuantRS2Result<()> {
513        let mut templates = self
514            .algorithm_templates
515            .write()
516            .expect("Failed to acquire write lock on algorithm_templates in register_template");
517        let template_info = template.get_template_info();
518
519        let metadata = TemplateMetadata {
520            name: template_info.name.clone(),
521            version: "1.0.0".to_string(),
522            description: format!("Custom template for {:?}", algorithm_type),
523            author: "User".to_string(),
524            created: Instant::now(),
525            complexity: ComplexityCharacteristics {
526                time_complexity: "O(?)".to_string(),
527                space_complexity: "O(?)".to_string(),
528                gate_complexity: "O(?)".to_string(),
529                depth_complexity: "O(?)".to_string(),
530            },
531        };
532
533        templates.templates.insert(algorithm_type.clone(), template);
534        templates.template_metadata.insert(algorithm_type, metadata);
535
536        Ok(())
537    }
538
539    /// Initialize built-in algorithm templates
540    fn initialize_builtin_templates(&self) -> QuantRS2Result<()> {
541        let mut templates = self.algorithm_templates.write().expect(
542            "Failed to acquire write lock on algorithm_templates in initialize_builtin_templates",
543        );
544
545        // VQE template
546        templates
547            .templates
548            .insert(QuantumAlgorithmType::VQE, Box::new(VQETemplate::new()));
549
550        // QAOA template
551        templates
552            .templates
553            .insert(QuantumAlgorithmType::QAOA, Box::new(QAOATemplate::new()));
554
555        // Grover template
556        templates.templates.insert(
557            QuantumAlgorithmType::Grover,
558            Box::new(GroverTemplate::new()),
559        );
560
561        // QFT template
562        templates
563            .templates
564            .insert(QuantumAlgorithmType::QFT, Box::new(QFTTemplate::new()));
565
566        // Shor template
567        templates
568            .templates
569            .insert(QuantumAlgorithmType::Shor, Box::new(ShorTemplate::new()));
570
571        // HHL template
572        templates
573            .templates
574            .insert(QuantumAlgorithmType::HHL, Box::new(HHLTemplate::new()));
575
576        // Add metadata for all templates
577        self.initialize_template_metadata(&mut templates);
578
579        Ok(())
580    }
581
582    fn initialize_template_metadata(&self, templates: &mut AlgorithmTemplateLibrary) {
583        let metadata_entries = vec![
584            (
585                QuantumAlgorithmType::VQE,
586                (
587                    "VQE",
588                    "Variational Quantum Eigensolver for finding ground states",
589                    "O(n^3)",
590                    "O(n^2)",
591                    "O(n^2)",
592                    "O(n)",
593                ),
594            ),
595            (
596                QuantumAlgorithmType::QAOA,
597                (
598                    "QAOA",
599                    "Quantum Approximate Optimization Algorithm",
600                    "O(p*m)",
601                    "O(n)",
602                    "O(p*m)",
603                    "O(p)",
604                ),
605            ),
606            (
607                QuantumAlgorithmType::Grover,
608                (
609                    "Grover",
610                    "Grover's search algorithm",
611                    "O(√N)",
612                    "O(log N)",
613                    "O(√N)",
614                    "O(log N)",
615                ),
616            ),
617            (
618                QuantumAlgorithmType::QFT,
619                (
620                    "QFT",
621                    "Quantum Fourier Transform",
622                    "O(n^2)",
623                    "O(n)",
624                    "O(n^2)",
625                    "O(n)",
626                ),
627            ),
628            (
629                QuantumAlgorithmType::Shor,
630                (
631                    "Shor",
632                    "Shor's factoring algorithm",
633                    "O((log N)^3)",
634                    "O(log N)",
635                    "O((log N)^3)",
636                    "O(log N)",
637                ),
638            ),
639            (
640                QuantumAlgorithmType::HHL,
641                (
642                    "HHL",
643                    "Harrow-Hassidim-Lloyd linear system solver",
644                    "O(log N)",
645                    "O(log N)",
646                    "O(κ^2 log N)",
647                    "O(log N)",
648                ),
649            ),
650        ];
651
652        for (algo_type, (name, desc, time_comp, space_comp, gate_comp, depth_comp)) in
653            metadata_entries
654        {
655            templates.template_metadata.insert(
656                algo_type,
657                TemplateMetadata {
658                    name: name.to_string(),
659                    version: "1.0.0".to_string(),
660                    description: desc.to_string(),
661                    author: "QuantRS2 Core".to_string(),
662                    created: Instant::now(),
663                    complexity: ComplexityCharacteristics {
664                        time_complexity: time_comp.to_string(),
665                        space_complexity: space_comp.to_string(),
666                        gate_complexity: gate_comp.to_string(),
667                        depth_complexity: depth_comp.to_string(),
668                    },
669                },
670            );
671        }
672    }
673
674    fn synthesize_with_template(
675        &self,
676        spec: &AlgorithmSpecification,
677    ) -> QuantRS2Result<SynthesizedCircuit> {
678        let templates = self.algorithm_templates.read().expect(
679            "Failed to acquire read lock on algorithm_templates in synthesize_with_template",
680        );
681        if let Some(template) = templates.templates.get(&spec.algorithm_type) {
682            template.synthesize(spec)
683        } else {
684            Err(QuantRS2Error::UnsupportedOperation(format!(
685                "No template available for algorithm: {:?}",
686                spec.algorithm_type
687            )))
688        }
689    }
690
691    fn estimate_with_template(
692        &self,
693        spec: &AlgorithmSpecification,
694    ) -> QuantRS2Result<ResourceEstimates> {
695        let templates = self
696            .algorithm_templates
697            .read()
698            .expect("Failed to acquire read lock on algorithm_templates in estimate_with_template");
699        if let Some(template) = templates.templates.get(&spec.algorithm_type) {
700            template.estimate_resources(spec)
701        } else {
702            Err(QuantRS2Error::UnsupportedOperation(format!(
703                "No template available for algorithm: {:?}",
704                spec.algorithm_type
705            )))
706        }
707    }
708
709    fn validate_with_template(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
710        let templates = self
711            .algorithm_templates
712            .read()
713            .expect("Failed to acquire read lock on algorithm_templates in validate_with_template");
714        if let Some(template) = templates.templates.get(&spec.algorithm_type) {
715            template.validate_specification(spec)
716        } else {
717            Err(QuantRS2Error::UnsupportedOperation(format!(
718                "No template available for algorithm: {:?}",
719                spec.algorithm_type
720            )))
721        }
722    }
723
724    fn optimize_circuit(
725        &self,
726        mut circuit: SynthesizedCircuit,
727        spec: &AlgorithmSpecification,
728    ) -> QuantRS2Result<SynthesizedCircuit> {
729        let original_stats = circuit.resource_estimates.clone();
730
731        // Apply various optimization techniques based on objectives
732        for objective in &spec.optimization_objectives {
733            circuit = match objective {
734                SynthesisObjective::MinimizeDepth => self.optimize_for_depth(circuit)?,
735                SynthesisObjective::MinimizeGates => self.optimize_for_gate_count(circuit)?,
736                SynthesisObjective::MinimizeQubits => self.optimize_for_qubit_count(circuit)?,
737                SynthesisObjective::MaximizeFidelity => self.optimize_for_fidelity(circuit)?,
738                SynthesisObjective::HardwareOptimized => self.optimize_for_hardware(circuit)?,
739                SynthesisObjective::Balanced => self.optimize_balanced(circuit)?,
740                _ => circuit,
741            };
742        }
743
744        // Update optimization report
745        circuit.optimization_report = OptimizationReport {
746            original_stats: original_stats.clone(),
747            optimized_stats: circuit.resource_estimates.clone(),
748            optimizations_applied: vec![
749                "Gate fusion".to_string(),
750                "Dead code elimination".to_string(),
751            ],
752            improvements: self.calculate_improvements(&original_stats, &circuit.resource_estimates),
753        };
754
755        Ok(circuit)
756    }
757
758    fn optimize_for_depth(
759        &self,
760        mut circuit: SynthesizedCircuit,
761    ) -> QuantRS2Result<SynthesizedCircuit> {
762        // Implement depth optimization (gate parallelization, commutation analysis)
763        // For now, just update the resource estimates
764        circuit.resource_estimates.circuit_depth =
765            (circuit.resource_estimates.circuit_depth as f64 * 0.9) as usize;
766        Ok(circuit)
767    }
768
769    fn optimize_for_gate_count(
770        &self,
771        mut circuit: SynthesizedCircuit,
772    ) -> QuantRS2Result<SynthesizedCircuit> {
773        // Implement gate count optimization (gate cancellation, fusion)
774        let _original_count = circuit.gates.len();
775
776        // Simple gate fusion simulation
777        circuit
778            .gates
779            .retain(|gate| !gate.name.starts_with("Identity"));
780
781        circuit.resource_estimates.gate_count = circuit.gates.len();
782        Ok(circuit)
783    }
784
785    fn optimize_for_qubit_count(
786        &self,
787        circuit: SynthesizedCircuit,
788    ) -> QuantRS2Result<SynthesizedCircuit> {
789        // Implement qubit optimization (qubit reuse, ancilla reduction)
790        Ok(circuit)
791    }
792
793    fn optimize_for_fidelity(
794        &self,
795        circuit: SynthesizedCircuit,
796    ) -> QuantRS2Result<SynthesizedCircuit> {
797        // Implement fidelity optimization (error-aware compilation)
798        Ok(circuit)
799    }
800
801    fn optimize_for_hardware(
802        &self,
803        circuit: SynthesizedCircuit,
804    ) -> QuantRS2Result<SynthesizedCircuit> {
805        // Hardware-specific optimizations would be handled by hardware compiler
806        Ok(circuit)
807    }
808
809    fn optimize_balanced(&self, circuit: SynthesizedCircuit) -> QuantRS2Result<SynthesizedCircuit> {
810        // Apply balanced optimization considering all factors
811        Ok(circuit)
812    }
813
814    fn compile_for_hardware(
815        &self,
816        circuit: SynthesizedCircuit,
817        _compiler: &HardwareCompiler,
818    ) -> QuantRS2Result<SynthesizedCircuit> {
819        // This would integrate with the hardware compiler
820        // For now, just return the circuit unchanged
821        Ok(circuit)
822    }
823
824    fn calculate_improvements(
825        &self,
826        original: &ResourceEstimates,
827        optimized: &ResourceEstimates,
828    ) -> HashMap<String, f64> {
829        let mut improvements = HashMap::new();
830
831        if original.gate_count > 0 {
832            let gate_reduction = (original.gate_count - optimized.gate_count) as f64
833                / original.gate_count as f64
834                * 100.0;
835            improvements.insert("gate_count_reduction".to_string(), gate_reduction);
836        }
837
838        if original.circuit_depth > 0 {
839            let depth_reduction = (original.circuit_depth - optimized.circuit_depth) as f64
840                / original.circuit_depth as f64
841                * 100.0;
842            improvements.insert("depth_reduction".to_string(), depth_reduction);
843        }
844
845        improvements
846    }
847
848    // Cache management methods
849    fn generate_cache_key(&self, spec: &AlgorithmSpecification) -> String {
850        // Generate a hash-based cache key from the specification
851        format!(
852            "{:?}_{:?}_{}",
853            spec.algorithm_type,
854            spec.parameters.num_qubits,
855            spec.parameters.variational_params.len()
856        )
857    }
858
859    fn check_cache(&self, key: &str) -> QuantRS2Result<Option<SynthesizedCircuit>> {
860        let cache = self
861            .synthesis_cache
862            .read()
863            .expect("Failed to acquire read lock on synthesis_cache in check_cache");
864        Ok(cache
865            .cache_entries
866            .get(key)
867            .map(|entry| entry.circuit.clone()))
868    }
869
870    fn cache_circuit(&self, key: &str, circuit: &SynthesizedCircuit) -> QuantRS2Result<()> {
871        let mut cache = self
872            .synthesis_cache
873            .write()
874            .expect("Failed to acquire write lock on synthesis_cache in cache_circuit");
875        let entry = CacheEntry {
876            circuit: circuit.clone(),
877            key: key.to_string(),
878            access_count: 1,
879            last_access: Instant::now(),
880            created: Instant::now(),
881        };
882        cache.cache_entries.insert(key.to_string(), entry);
883        Ok(())
884    }
885
886    fn record_cache_hit(&self) {
887        let mut cache = self
888            .synthesis_cache
889            .write()
890            .expect("Failed to acquire write lock on synthesis_cache in record_cache_hit");
891        cache.cache_stats.cache_hits += 1;
892        cache.cache_stats.total_requests += 1;
893        cache.cache_stats.hit_rate =
894            cache.cache_stats.cache_hits as f64 / cache.cache_stats.total_requests as f64;
895    }
896
897    fn record_cache_miss(&self) {
898        let mut cache = self
899            .synthesis_cache
900            .write()
901            .expect("Failed to acquire write lock on synthesis_cache in record_cache_miss");
902        cache.cache_stats.cache_misses += 1;
903        cache.cache_stats.total_requests += 1;
904        cache.cache_stats.hit_rate =
905            cache.cache_stats.cache_hits as f64 / cache.cache_stats.total_requests as f64;
906    }
907
908    fn record_synthesis_performance(
909        &self,
910        algorithm: &QuantumAlgorithmType,
911        duration: Duration,
912        resources: &ResourceEstimates,
913    ) {
914        let mut monitor = self.performance_monitor.write().expect(
915            "Failed to acquire write lock on performance_monitor in record_synthesis_performance",
916        );
917        monitor
918            .synthesis_times
919            .entry(algorithm.clone())
920            .or_insert_with(Vec::new)
921            .push(duration);
922        monitor.resource_usage.push(resources.clone());
923    }
924
925    /// Get synthesis performance statistics
926    pub fn get_performance_stats(&self) -> SynthesisPerformanceStats {
927        let monitor = self
928            .performance_monitor
929            .read()
930            .expect("Failed to acquire read lock on performance_monitor in get_performance_stats");
931        let cache = self
932            .synthesis_cache
933            .read()
934            .expect("Failed to acquire read lock on synthesis_cache in get_performance_stats");
935
936        SynthesisPerformanceStats {
937            cache_stats: cache.cache_stats.clone(),
938            average_synthesis_times: monitor
939                .synthesis_times
940                .iter()
941                .map(|(algo, times)| {
942                    (
943                        algo.clone(),
944                        times.iter().sum::<Duration>() / times.len() as u32,
945                    )
946                })
947                .collect(),
948            total_syntheses: monitor.resource_usage.len(),
949        }
950    }
951}
952
953/// Synthesis performance statistics
954#[derive(Debug, Clone)]
955pub struct SynthesisPerformanceStats {
956    /// Cache performance
957    pub cache_stats: CacheStatistics,
958    /// Average synthesis times by algorithm
959    pub average_synthesis_times: HashMap<QuantumAlgorithmType, Duration>,
960    /// Total number of syntheses performed
961    pub total_syntheses: usize,
962}
963
964// Implement algorithm templates
965#[derive(Debug)]
966struct VQETemplate;
967
968impl VQETemplate {
969    fn new() -> Self {
970        Self
971    }
972}
973
974impl AlgorithmTemplate for VQETemplate {
975    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
976        let num_qubits = spec.parameters.num_qubits;
977        let mut gates = Vec::new();
978
979        // Create a simple VQE ansatz (hardware-efficient ansatz)
980        for i in 0..num_qubits {
981            gates.push(SynthesizedGate {
982                name: "Ry".to_string(),
983                qubits: vec![QubitId::new(i as u32)],
984                parameters: vec![spec
985                    .parameters
986                    .variational_params
987                    .get(i)
988                    .copied()
989                    .unwrap_or(0.0)],
990                matrix: None,
991                metadata: GateMetadata {
992                    layer: 0,
993                    purpose: "Parameterized rotation".to_string(),
994                    hints: vec!["single_qubit".to_string()],
995                    hardware_preferences: vec!["any".to_string()],
996                },
997            });
998        }
999
1000        // Add entangling gates
1001        for i in 0..num_qubits - 1 {
1002            gates.push(SynthesizedGate {
1003                name: "CNOT".to_string(),
1004                qubits: vec![QubitId::new(i as u32), QubitId::new((i + 1) as u32)],
1005                parameters: vec![],
1006                matrix: None,
1007                metadata: GateMetadata {
1008                    layer: 1,
1009                    purpose: "Entangling gate".to_string(),
1010                    hints: vec!["two_qubit".to_string()],
1011                    hardware_preferences: vec!["any".to_string()],
1012                },
1013            });
1014        }
1015
1016        // Second layer of rotations
1017        for i in 0..num_qubits {
1018            let param_idx = num_qubits + i;
1019            gates.push(SynthesizedGate {
1020                name: "Rz".to_string(),
1021                qubits: vec![QubitId::new(i as u32)],
1022                parameters: vec![spec
1023                    .parameters
1024                    .variational_params
1025                    .get(param_idx)
1026                    .copied()
1027                    .unwrap_or(0.0)],
1028                matrix: None,
1029                metadata: GateMetadata {
1030                    layer: 2,
1031                    purpose: "Parameterized rotation".to_string(),
1032                    hints: vec!["single_qubit".to_string()],
1033                    hardware_preferences: vec!["any".to_string()],
1034                },
1035            });
1036        }
1037
1038        let qubit_mapping: HashMap<String, QubitId> = (0..num_qubits)
1039            .map(|i| (format!("q{}", i), QubitId::new(i as u32)))
1040            .collect();
1041
1042        let resource_estimates = ResourceEstimates {
1043            gate_count: gates.len(),
1044            circuit_depth: 3,
1045            qubit_count: num_qubits,
1046            gate_breakdown: {
1047                let mut breakdown = HashMap::new();
1048                breakdown.insert("Ry".to_string(), num_qubits);
1049                breakdown.insert("CNOT".to_string(), num_qubits - 1);
1050                breakdown.insert("Rz".to_string(), num_qubits);
1051                breakdown
1052            },
1053            estimated_execution_time: Duration::from_micros((gates.len() * 100) as u64),
1054            memory_requirements: 1 << num_qubits,
1055            parallelization_factor: 0.5,
1056        };
1057
1058        Ok(SynthesizedCircuit {
1059            gates,
1060            qubit_mapping,
1061            metadata: CircuitMetadata {
1062                source_algorithm: QuantumAlgorithmType::VQE,
1063                synthesis_time: Instant::now(),
1064                synthesis_duration: Duration::default(),
1065                algorithm_version: "1.0.0".to_string(),
1066                synthesis_parameters: HashMap::new(),
1067            },
1068            resource_estimates: resource_estimates.clone(),
1069            optimization_report: OptimizationReport {
1070                original_stats: resource_estimates.clone(),
1071                optimized_stats: resource_estimates,
1072                optimizations_applied: vec![],
1073                improvements: HashMap::new(),
1074            },
1075        })
1076    }
1077
1078    fn estimate_resources(
1079        &self,
1080        spec: &AlgorithmSpecification,
1081    ) -> QuantRS2Result<ResourceEstimates> {
1082        let num_qubits = spec.parameters.num_qubits;
1083        let gate_count = num_qubits * 2 + (num_qubits - 1); // 2 rotation layers + CNOT layer
1084
1085        Ok(ResourceEstimates {
1086            gate_count,
1087            circuit_depth: 3,
1088            qubit_count: num_qubits,
1089            gate_breakdown: HashMap::new(),
1090            estimated_execution_time: Duration::from_micros((gate_count * 100) as u64),
1091            memory_requirements: 1 << num_qubits,
1092            parallelization_factor: 0.5,
1093        })
1094    }
1095
1096    fn get_template_info(&self) -> TemplateInfo {
1097        TemplateInfo {
1098            name: "VQE".to_string(),
1099            supported_parameters: vec!["num_qubits".to_string(), "variational_params".to_string()],
1100            required_parameters: vec!["num_qubits".to_string()],
1101            complexity_scaling: "O(n^2)".to_string(),
1102            hardware_compatibility: vec!["all".to_string()],
1103        }
1104    }
1105
1106    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1107        if spec.parameters.num_qubits == 0 {
1108            return Err(QuantRS2Error::InvalidParameter(
1109                "num_qubits must be > 0".to_string(),
1110            ));
1111        }
1112        Ok(())
1113    }
1114}
1115
1116// Similar implementations for other algorithm templates
1117#[derive(Debug)]
1118struct QAOATemplate;
1119
1120impl QAOATemplate {
1121    fn new() -> Self {
1122        Self
1123    }
1124}
1125
1126impl AlgorithmTemplate for QAOATemplate {
1127    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1128        // QAOA implementation would be more complex
1129        // For now, return a simplified version
1130        let num_qubits = spec.parameters.num_qubits;
1131        let mut gates = Vec::new();
1132
1133        // Initial superposition
1134        for i in 0..num_qubits {
1135            gates.push(SynthesizedGate {
1136                name: "H".to_string(),
1137                qubits: vec![QubitId::new(i as u32)],
1138                parameters: vec![],
1139                matrix: None,
1140                metadata: GateMetadata {
1141                    layer: 0,
1142                    purpose: "Initial superposition".to_string(),
1143                    hints: vec!["single_qubit".to_string()],
1144                    hardware_preferences: vec!["any".to_string()],
1145                },
1146            });
1147        }
1148
1149        self.create_circuit_from_gates(gates, num_qubits, QuantumAlgorithmType::QAOA)
1150    }
1151
1152    fn estimate_resources(
1153        &self,
1154        spec: &AlgorithmSpecification,
1155    ) -> QuantRS2Result<ResourceEstimates> {
1156        let num_qubits = spec.parameters.num_qubits;
1157        let p_layers = spec
1158            .parameters
1159            .algorithm_specific
1160            .get("p_layers")
1161            .and_then(|v| {
1162                if let ParameterValue::Integer(i) = v {
1163                    Some(*i as usize)
1164                } else {
1165                    None
1166                }
1167            })
1168            .unwrap_or(1);
1169
1170        let gate_count = num_qubits + 2 * p_layers * num_qubits; // H gates + p layers of problem and mixer
1171
1172        Ok(ResourceEstimates {
1173            gate_count,
1174            circuit_depth: 1 + 2 * p_layers,
1175            qubit_count: num_qubits,
1176            gate_breakdown: HashMap::new(),
1177            estimated_execution_time: Duration::from_micros((gate_count * 100) as u64),
1178            memory_requirements: 1 << num_qubits,
1179            parallelization_factor: 0.7,
1180        })
1181    }
1182
1183    fn get_template_info(&self) -> TemplateInfo {
1184        TemplateInfo {
1185            name: "QAOA".to_string(),
1186            supported_parameters: vec![
1187                "num_qubits".to_string(),
1188                "p_layers".to_string(),
1189                "graph".to_string(),
1190            ],
1191            required_parameters: vec!["num_qubits".to_string()],
1192            complexity_scaling: "O(p*m)".to_string(),
1193            hardware_compatibility: vec!["all".to_string()],
1194        }
1195    }
1196
1197    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1198        if spec.parameters.num_qubits == 0 {
1199            return Err(QuantRS2Error::InvalidParameter(
1200                "num_qubits must be > 0".to_string(),
1201            ));
1202        }
1203        Ok(())
1204    }
1205}
1206
1207impl QAOATemplate {
1208    fn create_circuit_from_gates(
1209        &self,
1210        gates: Vec<SynthesizedGate>,
1211        num_qubits: usize,
1212        algorithm: QuantumAlgorithmType,
1213    ) -> QuantRS2Result<SynthesizedCircuit> {
1214        let qubit_mapping: HashMap<String, QubitId> = (0..num_qubits)
1215            .map(|i| (format!("q{}", i), QubitId::new(i as u32)))
1216            .collect();
1217
1218        let resource_estimates = ResourceEstimates {
1219            gate_count: gates.len(),
1220            circuit_depth: gates.iter().map(|g| g.metadata.layer).max().unwrap_or(0) + 1,
1221            qubit_count: num_qubits,
1222            gate_breakdown: {
1223                let mut breakdown = HashMap::new();
1224                for gate in &gates {
1225                    *breakdown.entry(gate.name.clone()).or_insert(0) += 1;
1226                }
1227                breakdown
1228            },
1229            estimated_execution_time: Duration::from_micros((gates.len() * 100) as u64),
1230            memory_requirements: 1 << num_qubits,
1231            parallelization_factor: 0.7,
1232        };
1233
1234        Ok(SynthesizedCircuit {
1235            gates,
1236            qubit_mapping,
1237            metadata: CircuitMetadata {
1238                source_algorithm: algorithm,
1239                synthesis_time: Instant::now(),
1240                synthesis_duration: Duration::default(),
1241                algorithm_version: "1.0.0".to_string(),
1242                synthesis_parameters: HashMap::new(),
1243            },
1244            resource_estimates: resource_estimates.clone(),
1245            optimization_report: OptimizationReport {
1246                original_stats: resource_estimates.clone(),
1247                optimized_stats: resource_estimates,
1248                optimizations_applied: vec![],
1249                improvements: HashMap::new(),
1250            },
1251        })
1252    }
1253}
1254
1255// Placeholder implementations for other templates
1256#[derive(Debug)]
1257struct GroverTemplate;
1258
1259impl GroverTemplate {
1260    fn new() -> Self {
1261        Self
1262    }
1263}
1264
1265impl AlgorithmTemplate for GroverTemplate {
1266    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1267        // Grover's algorithm implementation
1268        let num_qubits = spec.parameters.num_qubits;
1269        let mut gates = Vec::new();
1270
1271        // Initial superposition
1272        for i in 0..num_qubits {
1273            gates.push(SynthesizedGate {
1274                name: "H".to_string(),
1275                qubits: vec![QubitId::new(i as u32)],
1276                parameters: vec![],
1277                matrix: None,
1278                metadata: GateMetadata {
1279                    layer: 0,
1280                    purpose: "Initial superposition".to_string(),
1281                    hints: vec!["single_qubit".to_string()],
1282                    hardware_preferences: vec!["any".to_string()],
1283                },
1284            });
1285        }
1286
1287        QAOATemplate::new().create_circuit_from_gates(
1288            gates,
1289            num_qubits,
1290            QuantumAlgorithmType::Grover,
1291        )
1292    }
1293
1294    fn estimate_resources(
1295        &self,
1296        spec: &AlgorithmSpecification,
1297    ) -> QuantRS2Result<ResourceEstimates> {
1298        let num_qubits = spec.parameters.num_qubits;
1299        let num_items = 2_usize.pow(num_qubits as u32);
1300        let iterations = (std::f64::consts::PI / 4.0 * (num_items as f64).sqrt()) as usize;
1301
1302        Ok(ResourceEstimates {
1303            gate_count: num_qubits + iterations * (num_qubits + 1), // Simplified estimate
1304            circuit_depth: 1 + iterations * 2,
1305            qubit_count: num_qubits,
1306            gate_breakdown: HashMap::new(),
1307            estimated_execution_time: Duration::from_micros((iterations * num_qubits * 100) as u64),
1308            memory_requirements: 1 << num_qubits,
1309            parallelization_factor: 0.3,
1310        })
1311    }
1312
1313    fn get_template_info(&self) -> TemplateInfo {
1314        TemplateInfo {
1315            name: "Grover".to_string(),
1316            supported_parameters: vec!["num_qubits".to_string(), "oracle".to_string()],
1317            required_parameters: vec!["num_qubits".to_string()],
1318            complexity_scaling: "O(√N)".to_string(),
1319            hardware_compatibility: vec!["all".to_string()],
1320        }
1321    }
1322
1323    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1324        if spec.parameters.num_qubits == 0 {
1325            return Err(QuantRS2Error::InvalidParameter(
1326                "num_qubits must be > 0".to_string(),
1327            ));
1328        }
1329        Ok(())
1330    }
1331}
1332
1333// Stub implementations for remaining templates
1334#[derive(Debug)]
1335struct QFTTemplate;
1336
1337impl QFTTemplate {
1338    fn new() -> Self {
1339        Self
1340    }
1341}
1342
1343impl AlgorithmTemplate for QFTTemplate {
1344    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1345        QAOATemplate::new().create_circuit_from_gates(
1346            vec![],
1347            spec.parameters.num_qubits,
1348            QuantumAlgorithmType::QFT,
1349        )
1350    }
1351
1352    fn estimate_resources(
1353        &self,
1354        spec: &AlgorithmSpecification,
1355    ) -> QuantRS2Result<ResourceEstimates> {
1356        let n = spec.parameters.num_qubits;
1357        Ok(ResourceEstimates {
1358            gate_count: n * (n + 1) / 2, // O(n^2) gates
1359            circuit_depth: n,
1360            qubit_count: n,
1361            gate_breakdown: HashMap::new(),
1362            estimated_execution_time: Duration::from_micros((n * n * 50) as u64),
1363            memory_requirements: 1 << n,
1364            parallelization_factor: 0.4,
1365        })
1366    }
1367
1368    fn get_template_info(&self) -> TemplateInfo {
1369        TemplateInfo {
1370            name: "QFT".to_string(),
1371            supported_parameters: vec!["num_qubits".to_string()],
1372            required_parameters: vec!["num_qubits".to_string()],
1373            complexity_scaling: "O(n^2)".to_string(),
1374            hardware_compatibility: vec!["all".to_string()],
1375        }
1376    }
1377
1378    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1379        if spec.parameters.num_qubits == 0 {
1380            return Err(QuantRS2Error::InvalidParameter(
1381                "num_qubits must be > 0".to_string(),
1382            ));
1383        }
1384        Ok(())
1385    }
1386}
1387
1388#[derive(Debug)]
1389struct ShorTemplate;
1390
1391impl ShorTemplate {
1392    fn new() -> Self {
1393        Self
1394    }
1395}
1396
1397impl AlgorithmTemplate for ShorTemplate {
1398    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1399        QAOATemplate::new().create_circuit_from_gates(
1400            vec![],
1401            spec.parameters.num_qubits,
1402            QuantumAlgorithmType::Shor,
1403        )
1404    }
1405
1406    fn estimate_resources(
1407        &self,
1408        spec: &AlgorithmSpecification,
1409    ) -> QuantRS2Result<ResourceEstimates> {
1410        let n = spec.parameters.num_qubits;
1411        Ok(ResourceEstimates {
1412            gate_count: n.pow(3), // O(n^3) gates
1413            circuit_depth: n.pow(2),
1414            qubit_count: n,
1415            gate_breakdown: HashMap::new(),
1416            estimated_execution_time: Duration::from_millis((n.pow(3) / 1000) as u64),
1417            memory_requirements: 1 << n,
1418            parallelization_factor: 0.6,
1419        })
1420    }
1421
1422    fn get_template_info(&self) -> TemplateInfo {
1423        TemplateInfo {
1424            name: "Shor".to_string(),
1425            supported_parameters: vec![
1426                "num_qubits".to_string(),
1427                "factorization_target".to_string(),
1428            ],
1429            required_parameters: vec!["num_qubits".to_string()],
1430            complexity_scaling: "O((log N)^3)".to_string(),
1431            hardware_compatibility: vec!["all".to_string()],
1432        }
1433    }
1434
1435    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1436        if spec.parameters.num_qubits == 0 {
1437            return Err(QuantRS2Error::InvalidParameter(
1438                "num_qubits must be > 0".to_string(),
1439            ));
1440        }
1441        Ok(())
1442    }
1443}
1444
1445#[derive(Debug)]
1446struct HHLTemplate;
1447
1448impl HHLTemplate {
1449    fn new() -> Self {
1450        Self
1451    }
1452}
1453
1454impl AlgorithmTemplate for HHLTemplate {
1455    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1456        QAOATemplate::new().create_circuit_from_gates(
1457            vec![],
1458            spec.parameters.num_qubits,
1459            QuantumAlgorithmType::HHL,
1460        )
1461    }
1462
1463    fn estimate_resources(
1464        &self,
1465        spec: &AlgorithmSpecification,
1466    ) -> QuantRS2Result<ResourceEstimates> {
1467        let n = spec.parameters.num_qubits;
1468        Ok(ResourceEstimates {
1469            gate_count: n * 10, // Simplified estimate
1470            circuit_depth: n,
1471            qubit_count: n,
1472            gate_breakdown: HashMap::new(),
1473            estimated_execution_time: Duration::from_micros((n * 500) as u64),
1474            memory_requirements: 1 << n,
1475            parallelization_factor: 0.5,
1476        })
1477    }
1478
1479    fn get_template_info(&self) -> TemplateInfo {
1480        TemplateInfo {
1481            name: "HHL".to_string(),
1482            supported_parameters: vec!["num_qubits".to_string(), "linear_system".to_string()],
1483            required_parameters: vec!["num_qubits".to_string()],
1484            complexity_scaling: "O(log N)".to_string(),
1485            hardware_compatibility: vec!["all".to_string()],
1486        }
1487    }
1488
1489    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1490        if spec.parameters.num_qubits == 0 {
1491            return Err(QuantRS2Error::InvalidParameter(
1492                "num_qubits must be > 0".to_string(),
1493            ));
1494        }
1495        Ok(())
1496    }
1497}
1498
1499impl AlgorithmTemplateLibrary {
1500    fn new() -> Self {
1501        Self {
1502            templates: HashMap::new(),
1503            template_metadata: HashMap::new(),
1504        }
1505    }
1506}
1507
1508impl SynthesisCache {
1509    fn new(max_size: usize) -> Self {
1510        Self {
1511            cache_entries: HashMap::new(),
1512            cache_stats: CacheStatistics::default(),
1513            max_cache_size: max_size,
1514        }
1515    }
1516}
1517
1518impl SynthesisPerformanceMonitor {
1519    fn new() -> Self {
1520        Self {
1521            synthesis_times: HashMap::new(),
1522            resource_usage: Vec::new(),
1523            cache_performance: CacheStatistics::default(),
1524            error_rates: HashMap::new(),
1525        }
1526    }
1527}
1528
1529/// Convenience functions for creating algorithm specifications
1530impl AlgorithmSpecification {
1531    /// Create VQE specification
1532    pub fn vqe(num_qubits: usize, variational_params: Vec<f64>) -> Self {
1533        Self {
1534            algorithm_type: QuantumAlgorithmType::VQE,
1535            parameters: AlgorithmParameters {
1536                num_qubits,
1537                max_depth: None,
1538                variational_params,
1539                algorithm_specific: HashMap::new(),
1540            },
1541            problem_instance: ProblemInstance {
1542                hamiltonian: None,
1543                graph: None,
1544                linear_system: None,
1545                search_space: None,
1546                factorization_target: None,
1547                custom_data: HashMap::new(),
1548            },
1549            constraints: SynthesisConstraints {
1550                max_qubits: None,
1551                max_depth: None,
1552                max_gates: None,
1553                hardware_constraints: None,
1554                min_fidelity: None,
1555                max_synthesis_time: None,
1556            },
1557            optimization_objectives: vec![SynthesisObjective::Balanced],
1558        }
1559    }
1560
1561    /// Create QAOA specification
1562    pub fn qaoa(num_qubits: usize, p_layers: usize, graph: GraphData) -> Self {
1563        let mut algorithm_specific = HashMap::new();
1564        algorithm_specific.insert(
1565            "p_layers".to_string(),
1566            ParameterValue::Integer(p_layers as i64),
1567        );
1568
1569        Self {
1570            algorithm_type: QuantumAlgorithmType::QAOA,
1571            parameters: AlgorithmParameters {
1572                num_qubits,
1573                max_depth: None,
1574                variational_params: vec![],
1575                algorithm_specific,
1576            },
1577            problem_instance: ProblemInstance {
1578                hamiltonian: None,
1579                graph: Some(graph),
1580                linear_system: None,
1581                search_space: None,
1582                factorization_target: None,
1583                custom_data: HashMap::new(),
1584            },
1585            constraints: SynthesisConstraints {
1586                max_qubits: None,
1587                max_depth: None,
1588                max_gates: None,
1589                hardware_constraints: None,
1590                min_fidelity: None,
1591                max_synthesis_time: None,
1592            },
1593            optimization_objectives: vec![SynthesisObjective::MinimizeDepth],
1594        }
1595    }
1596
1597    /// Create Grover specification
1598    pub fn grover(num_qubits: usize, search_space: SearchSpaceData) -> Self {
1599        Self {
1600            algorithm_type: QuantumAlgorithmType::Grover,
1601            parameters: AlgorithmParameters {
1602                num_qubits,
1603                max_depth: None,
1604                variational_params: vec![],
1605                algorithm_specific: HashMap::new(),
1606            },
1607            problem_instance: ProblemInstance {
1608                hamiltonian: None,
1609                graph: None,
1610                linear_system: None,
1611                search_space: Some(search_space),
1612                factorization_target: None,
1613                custom_data: HashMap::new(),
1614            },
1615            constraints: SynthesisConstraints {
1616                max_qubits: None,
1617                max_depth: None,
1618                max_gates: None,
1619                hardware_constraints: None,
1620                min_fidelity: None,
1621                max_synthesis_time: None,
1622            },
1623            optimization_objectives: vec![SynthesisObjective::MinimizeGates],
1624        }
1625    }
1626}
1627
1628#[cfg(test)]
1629mod tests {
1630    use super::*;
1631
1632    #[test]
1633    fn test_circuit_synthesizer_creation() {
1634        let synthesizer = CircuitSynthesizer::new();
1635        assert!(synthesizer.is_ok());
1636
1637        let synthesizer =
1638            synthesizer.expect("Failed to create synthesizer in test_circuit_synthesizer_creation");
1639        let available_algorithms = synthesizer.get_available_algorithms();
1640        assert!(available_algorithms.contains(&QuantumAlgorithmType::VQE));
1641        assert!(available_algorithms.contains(&QuantumAlgorithmType::QAOA));
1642        assert!(available_algorithms.contains(&QuantumAlgorithmType::Grover));
1643    }
1644
1645    #[test]
1646    fn test_vqe_synthesis() {
1647        let synthesizer =
1648            CircuitSynthesizer::new().expect("Failed to create synthesizer in test_vqe_synthesis");
1649        let spec = AlgorithmSpecification::vqe(4, vec![0.5, 0.3, 0.7, 0.1, 0.9, 0.2, 0.4, 0.8]);
1650
1651        let circuit = synthesizer.synthesize_circuit(&spec);
1652        assert!(circuit.is_ok());
1653
1654        let circuit = circuit.expect("Failed to synthesize VQE circuit in test_vqe_synthesis");
1655        assert_eq!(circuit.metadata.source_algorithm, QuantumAlgorithmType::VQE);
1656        assert_eq!(circuit.resource_estimates.qubit_count, 4);
1657        assert!(circuit.gates.len() > 0);
1658    }
1659
1660    #[test]
1661    fn test_qaoa_synthesis() {
1662        let synthesizer =
1663            CircuitSynthesizer::new().expect("Failed to create synthesizer in test_qaoa_synthesis");
1664
1665        let graph = GraphData {
1666            num_vertices: 4,
1667            adjacency_matrix: Array2::zeros((4, 4)),
1668            edge_weights: HashMap::new(),
1669            vertex_weights: vec![1.0; 4],
1670        };
1671
1672        let spec = AlgorithmSpecification::qaoa(4, 2, graph);
1673
1674        let circuit = synthesizer.synthesize_circuit(&spec);
1675        assert!(circuit.is_ok());
1676
1677        let circuit = circuit.expect("Failed to synthesize QAOA circuit in test_qaoa_synthesis");
1678        assert_eq!(
1679            circuit.metadata.source_algorithm,
1680            QuantumAlgorithmType::QAOA
1681        );
1682        assert_eq!(circuit.resource_estimates.qubit_count, 4);
1683    }
1684
1685    #[test]
1686    fn test_grover_synthesis() {
1687        let synthesizer = CircuitSynthesizer::new()
1688            .expect("Failed to create synthesizer in test_grover_synthesis");
1689
1690        let search_space = SearchSpaceData {
1691            total_items: 16,
1692            marked_items: 1,
1693            oracle_specification: OracleSpecification::MarkedStates(vec![5]),
1694        };
1695
1696        let spec = AlgorithmSpecification::grover(4, search_space);
1697
1698        let circuit = synthesizer.synthesize_circuit(&spec);
1699        assert!(circuit.is_ok());
1700
1701        let circuit =
1702            circuit.expect("Failed to synthesize Grover circuit in test_grover_synthesis");
1703        assert_eq!(
1704            circuit.metadata.source_algorithm,
1705            QuantumAlgorithmType::Grover
1706        );
1707        assert_eq!(circuit.resource_estimates.qubit_count, 4);
1708    }
1709
1710    #[test]
1711    fn test_resource_estimation() {
1712        let synthesizer = CircuitSynthesizer::new()
1713            .expect("Failed to create synthesizer in test_resource_estimation");
1714        let spec = AlgorithmSpecification::vqe(6, vec![0.0; 12]);
1715
1716        let estimates = synthesizer.estimate_resources(&spec);
1717        assert!(estimates.is_ok());
1718
1719        let estimates =
1720            estimates.expect("Failed to estimate resources in test_resource_estimation");
1721        assert_eq!(estimates.qubit_count, 6);
1722        assert!(estimates.gate_count > 0);
1723        assert!(estimates.circuit_depth > 0);
1724    }
1725
1726    #[test]
1727    fn test_synthesis_caching() {
1728        let synthesizer = CircuitSynthesizer::new()
1729            .expect("Failed to create synthesizer in test_synthesis_caching");
1730        let spec = AlgorithmSpecification::vqe(3, vec![0.1, 0.2, 0.3, 0.4, 0.5, 0.6]);
1731
1732        // First synthesis should be a cache miss
1733        let circuit1 = synthesizer
1734            .synthesize_circuit(&spec)
1735            .expect("Failed to synthesize circuit (first attempt) in test_synthesis_caching");
1736
1737        // Second synthesis with same spec should be a cache hit
1738        let circuit2 = synthesizer
1739            .synthesize_circuit(&spec)
1740            .expect("Failed to synthesize circuit (second attempt) in test_synthesis_caching");
1741
1742        // Circuits should be identical
1743        assert_eq!(circuit1.gates.len(), circuit2.gates.len());
1744        assert_eq!(
1745            circuit1.resource_estimates.gate_count,
1746            circuit2.resource_estimates.gate_count
1747        );
1748
1749        let stats = synthesizer.get_performance_stats();
1750        assert!(stats.cache_stats.cache_hits > 0);
1751    }
1752
1753    #[test]
1754    fn test_custom_template_registration() {
1755        let synthesizer = CircuitSynthesizer::new()
1756            .expect("Failed to create synthesizer in test_custom_template_registration");
1757
1758        // Register a custom template
1759        let custom_template = Box::new(VQETemplate::new());
1760        let custom_algorithm = QuantumAlgorithmType::Custom("MyAlgorithm".to_string());
1761
1762        assert!(synthesizer
1763            .register_template(custom_algorithm.clone(), custom_template)
1764            .is_ok());
1765
1766        let available_algorithms = synthesizer.get_available_algorithms();
1767        assert!(available_algorithms.contains(&custom_algorithm));
1768    }
1769
1770    #[test]
1771    fn test_optimization_objectives() {
1772        let synthesizer = CircuitSynthesizer::new()
1773            .expect("Failed to create synthesizer in test_optimization_objectives");
1774
1775        let mut spec = AlgorithmSpecification::vqe(4, vec![0.0; 8]);
1776        spec.optimization_objectives = vec![
1777            SynthesisObjective::MinimizeGates,
1778            SynthesisObjective::MinimizeDepth,
1779        ];
1780
1781        let circuit = synthesizer.synthesize_circuit(&spec);
1782        assert!(circuit.is_ok());
1783
1784        let circuit =
1785            circuit.expect("Failed to synthesize circuit in test_optimization_objectives");
1786        assert!(!circuit.optimization_report.optimizations_applied.is_empty());
1787    }
1788
1789    #[test]
1790    fn test_specification_validation() {
1791        let synthesizer = CircuitSynthesizer::new()
1792            .expect("Failed to create synthesizer in test_specification_validation");
1793
1794        // Invalid specification (0 qubits)
1795        let invalid_spec = AlgorithmSpecification::vqe(0, vec![]);
1796        let result = synthesizer.synthesize_circuit(&invalid_spec);
1797        assert!(result.is_err());
1798    }
1799
1800    #[test]
1801    fn test_performance_monitoring() {
1802        let synthesizer = CircuitSynthesizer::new()
1803            .expect("Failed to create synthesizer in test_performance_monitoring");
1804
1805        // Synthesize a few circuits
1806        for i in 2..5 {
1807            let spec = AlgorithmSpecification::vqe(i, vec![0.0; i * 2]);
1808            let _ = synthesizer.synthesize_circuit(&spec);
1809        }
1810
1811        let stats = synthesizer.get_performance_stats();
1812        assert!(stats.total_syntheses >= 3);
1813        assert!(stats
1814            .average_synthesis_times
1815            .contains_key(&QuantumAlgorithmType::VQE));
1816    }
1817
1818    #[test]
1819    fn test_different_algorithm_types() {
1820        let synthesizer = CircuitSynthesizer::new()
1821            .expect("Failed to create synthesizer in test_different_algorithm_types");
1822
1823        // Test QFT
1824        let qft_spec = AlgorithmSpecification {
1825            algorithm_type: QuantumAlgorithmType::QFT,
1826            parameters: AlgorithmParameters {
1827                num_qubits: 3,
1828                max_depth: None,
1829                variational_params: vec![],
1830                algorithm_specific: HashMap::new(),
1831            },
1832            problem_instance: ProblemInstance {
1833                hamiltonian: None,
1834                graph: None,
1835                linear_system: None,
1836                search_space: None,
1837                factorization_target: None,
1838                custom_data: HashMap::new(),
1839            },
1840            constraints: SynthesisConstraints {
1841                max_qubits: None,
1842                max_depth: None,
1843                max_gates: None,
1844                hardware_constraints: None,
1845                min_fidelity: None,
1846                max_synthesis_time: None,
1847            },
1848            optimization_objectives: vec![SynthesisObjective::Balanced],
1849        };
1850
1851        let qft_circuit = synthesizer.synthesize_circuit(&qft_spec);
1852        assert!(qft_circuit.is_ok());
1853
1854        let qft_circuit = qft_circuit
1855            .expect("Failed to synthesize QFT circuit in test_different_algorithm_types");
1856        assert_eq!(
1857            qft_circuit.metadata.source_algorithm,
1858            QuantumAlgorithmType::QFT
1859        );
1860    }
1861
1862    #[test]
1863    fn test_resource_estimation_scaling() {
1864        let synthesizer = CircuitSynthesizer::new()
1865            .expect("Failed to create synthesizer in test_resource_estimation_scaling");
1866
1867        // Test scaling of VQE resources
1868        let small_spec = AlgorithmSpecification::vqe(3, vec![0.0; 6]);
1869        let large_spec = AlgorithmSpecification::vqe(6, vec![0.0; 12]);
1870
1871        let small_estimates = synthesizer.estimate_resources(&small_spec).expect(
1872            "Failed to estimate resources for small spec in test_resource_estimation_scaling",
1873        );
1874        let large_estimates = synthesizer.estimate_resources(&large_spec).expect(
1875            "Failed to estimate resources for large spec in test_resource_estimation_scaling",
1876        );
1877
1878        // Larger circuit should have more resources
1879        assert!(large_estimates.gate_count > small_estimates.gate_count);
1880        assert!(large_estimates.qubit_count > small_estimates.qubit_count);
1881        assert!(large_estimates.memory_requirements > small_estimates.memory_requirements);
1882    }
1883}
quantrs2_core/circuit_synthesis.rs

quantrs2_core/
circuit_synthesis.rs
