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,
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        templates.templates.get(&spec.algorithm_type).map_or_else(
682            || {
683                Err(QuantRS2Error::UnsupportedOperation(format!(
684                    "No template available for algorithm: {:?}",
685                    spec.algorithm_type
686                )))
687            },
688            |template| template.synthesize(spec),
689        )
690    }
691
692    fn estimate_with_template(
693        &self,
694        spec: &AlgorithmSpecification,
695    ) -> QuantRS2Result<ResourceEstimates> {
696        let templates = self
697            .algorithm_templates
698            .read()
699            .expect("Failed to acquire read lock on algorithm_templates in estimate_with_template");
700        templates.templates.get(&spec.algorithm_type).map_or_else(
701            || {
702                Err(QuantRS2Error::UnsupportedOperation(format!(
703                    "No template available for algorithm: {:?}",
704                    spec.algorithm_type
705                )))
706            },
707            |template| template.estimate_resources(spec),
708        )
709    }
710
711    fn validate_with_template(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
712        let templates = self
713            .algorithm_templates
714            .read()
715            .expect("Failed to acquire read lock on algorithm_templates in validate_with_template");
716        templates.templates.get(&spec.algorithm_type).map_or_else(
717            || {
718                Err(QuantRS2Error::UnsupportedOperation(format!(
719                    "No template available for algorithm: {:?}",
720                    spec.algorithm_type
721                )))
722            },
723            |template| template.validate_specification(spec),
724        )
725    }
726
727    fn optimize_circuit(
728        &self,
729        mut circuit: SynthesizedCircuit,
730        spec: &AlgorithmSpecification,
731    ) -> QuantRS2Result<SynthesizedCircuit> {
732        let original_stats = circuit.resource_estimates.clone();
733
734        // Apply various optimization techniques based on objectives
735        for objective in &spec.optimization_objectives {
736            circuit = match objective {
737                SynthesisObjective::MinimizeDepth => self.optimize_for_depth(circuit)?,
738                SynthesisObjective::MinimizeGates => self.optimize_for_gate_count(circuit)?,
739                SynthesisObjective::MinimizeQubits => self.optimize_for_qubit_count(circuit)?,
740                SynthesisObjective::MaximizeFidelity => self.optimize_for_fidelity(circuit)?,
741                SynthesisObjective::HardwareOptimized => self.optimize_for_hardware(circuit)?,
742                SynthesisObjective::Balanced => self.optimize_balanced(circuit)?,
743                SynthesisObjective::MinimizeTime => circuit,
744            };
745        }
746
747        // Update optimization report
748        circuit.optimization_report = OptimizationReport {
749            original_stats: original_stats.clone(),
750            optimized_stats: circuit.resource_estimates.clone(),
751            optimizations_applied: vec![
752                "Gate fusion".to_string(),
753                "Dead code elimination".to_string(),
754            ],
755            improvements: self.calculate_improvements(&original_stats, &circuit.resource_estimates),
756        };
757
758        Ok(circuit)
759    }
760
761    fn optimize_for_depth(
762        &self,
763        mut circuit: SynthesizedCircuit,
764    ) -> QuantRS2Result<SynthesizedCircuit> {
765        // Implement depth optimization (gate parallelization, commutation analysis)
766        // For now, just update the resource estimates
767        circuit.resource_estimates.circuit_depth =
768            (circuit.resource_estimates.circuit_depth as f64 * 0.9) as usize;
769        Ok(circuit)
770    }
771
772    fn optimize_for_gate_count(
773        &self,
774        mut circuit: SynthesizedCircuit,
775    ) -> QuantRS2Result<SynthesizedCircuit> {
776        // Implement gate count optimization (gate cancellation, fusion)
777        let _original_count = circuit.gates.len();
778
779        // Simple gate fusion simulation
780        circuit
781            .gates
782            .retain(|gate| !gate.name.starts_with("Identity"));
783
784        circuit.resource_estimates.gate_count = circuit.gates.len();
785        Ok(circuit)
786    }
787
788    const fn optimize_for_qubit_count(
789        &self,
790        circuit: SynthesizedCircuit,
791    ) -> QuantRS2Result<SynthesizedCircuit> {
792        // Implement qubit optimization (qubit reuse, ancilla reduction)
793        Ok(circuit)
794    }
795
796    const fn optimize_for_fidelity(
797        &self,
798        circuit: SynthesizedCircuit,
799    ) -> QuantRS2Result<SynthesizedCircuit> {
800        // Implement fidelity optimization (error-aware compilation)
801        Ok(circuit)
802    }
803
804    const fn optimize_for_hardware(
805        &self,
806        circuit: SynthesizedCircuit,
807    ) -> QuantRS2Result<SynthesizedCircuit> {
808        // Hardware-specific optimizations would be handled by hardware compiler
809        Ok(circuit)
810    }
811
812    const fn optimize_balanced(
813        &self,
814        circuit: SynthesizedCircuit,
815    ) -> QuantRS2Result<SynthesizedCircuit> {
816        // Apply balanced optimization considering all factors
817        Ok(circuit)
818    }
819
820    const fn compile_for_hardware(
821        &self,
822        circuit: SynthesizedCircuit,
823        _compiler: &HardwareCompiler,
824    ) -> QuantRS2Result<SynthesizedCircuit> {
825        // This would integrate with the hardware compiler
826        // For now, just return the circuit unchanged
827        Ok(circuit)
828    }
829
830    fn calculate_improvements(
831        &self,
832        original: &ResourceEstimates,
833        optimized: &ResourceEstimates,
834    ) -> HashMap<String, f64> {
835        let mut improvements = HashMap::new();
836
837        if original.gate_count > 0 {
838            let gate_reduction = (original.gate_count - optimized.gate_count) as f64
839                / original.gate_count as f64
840                * 100.0;
841            improvements.insert("gate_count_reduction".to_string(), gate_reduction);
842        }
843
844        if original.circuit_depth > 0 {
845            let depth_reduction = (original.circuit_depth - optimized.circuit_depth) as f64
846                / original.circuit_depth as f64
847                * 100.0;
848            improvements.insert("depth_reduction".to_string(), depth_reduction);
849        }
850
851        improvements
852    }
853
854    // Cache management methods
855    fn generate_cache_key(&self, spec: &AlgorithmSpecification) -> String {
856        // Generate a hash-based cache key from the specification
857        format!(
858            "{:?}_{:?}_{}",
859            spec.algorithm_type,
860            spec.parameters.num_qubits,
861            spec.parameters.variational_params.len()
862        )
863    }
864
865    fn check_cache(&self, key: &str) -> QuantRS2Result<Option<SynthesizedCircuit>> {
866        let cache = self
867            .synthesis_cache
868            .read()
869            .expect("Failed to acquire read lock on synthesis_cache in check_cache");
870        Ok(cache
871            .cache_entries
872            .get(key)
873            .map(|entry| entry.circuit.clone()))
874    }
875
876    fn cache_circuit(&self, key: &str, circuit: &SynthesizedCircuit) -> QuantRS2Result<()> {
877        let mut cache = self
878            .synthesis_cache
879            .write()
880            .expect("Failed to acquire write lock on synthesis_cache in cache_circuit");
881        let entry = CacheEntry {
882            circuit: circuit.clone(),
883            key: key.to_string(),
884            access_count: 1,
885            last_access: Instant::now(),
886            created: Instant::now(),
887        };
888        cache.cache_entries.insert(key.to_string(), entry);
889        Ok(())
890    }
891
892    fn record_cache_hit(&self) {
893        let mut cache = self
894            .synthesis_cache
895            .write()
896            .expect("Failed to acquire write lock on synthesis_cache in record_cache_hit");
897        cache.cache_stats.cache_hits += 1;
898        cache.cache_stats.total_requests += 1;
899        cache.cache_stats.hit_rate =
900            cache.cache_stats.cache_hits as f64 / cache.cache_stats.total_requests as f64;
901    }
902
903    fn record_cache_miss(&self) {
904        let mut cache = self
905            .synthesis_cache
906            .write()
907            .expect("Failed to acquire write lock on synthesis_cache in record_cache_miss");
908        cache.cache_stats.cache_misses += 1;
909        cache.cache_stats.total_requests += 1;
910        cache.cache_stats.hit_rate =
911            cache.cache_stats.cache_hits as f64 / cache.cache_stats.total_requests as f64;
912    }
913
914    fn record_synthesis_performance(
915        &self,
916        algorithm: &QuantumAlgorithmType,
917        duration: Duration,
918        resources: &ResourceEstimates,
919    ) {
920        let mut monitor = self.performance_monitor.write().expect(
921            "Failed to acquire write lock on performance_monitor in record_synthesis_performance",
922        );
923        monitor
924            .synthesis_times
925            .entry(algorithm.clone())
926            .or_insert_with(Vec::new)
927            .push(duration);
928        monitor.resource_usage.push(resources.clone());
929    }
930
931    /// Get synthesis performance statistics
932    pub fn get_performance_stats(&self) -> SynthesisPerformanceStats {
933        let monitor = self
934            .performance_monitor
935            .read()
936            .expect("Failed to acquire read lock on performance_monitor in get_performance_stats");
937        let cache = self
938            .synthesis_cache
939            .read()
940            .expect("Failed to acquire read lock on synthesis_cache in get_performance_stats");
941
942        SynthesisPerformanceStats {
943            cache_stats: cache.cache_stats.clone(),
944            average_synthesis_times: monitor
945                .synthesis_times
946                .iter()
947                .map(|(algo, times)| {
948                    (
949                        algo.clone(),
950                        times.iter().sum::<Duration>() / times.len() as u32,
951                    )
952                })
953                .collect(),
954            total_syntheses: monitor.resource_usage.len(),
955        }
956    }
957}
958
959/// Synthesis performance statistics
960#[derive(Debug, Clone)]
961pub struct SynthesisPerformanceStats {
962    /// Cache performance
963    pub cache_stats: CacheStatistics,
964    /// Average synthesis times by algorithm
965    pub average_synthesis_times: HashMap<QuantumAlgorithmType, Duration>,
966    /// Total number of syntheses performed
967    pub total_syntheses: usize,
968}
969
970// Implement algorithm templates
971#[derive(Debug)]
972struct VQETemplate;
973
974impl VQETemplate {
975    const fn new() -> Self {
976        Self
977    }
978}
979
980impl AlgorithmTemplate for VQETemplate {
981    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
982        let num_qubits = spec.parameters.num_qubits;
983        let mut gates = Vec::new();
984
985        // Create a simple VQE ansatz (hardware-efficient ansatz)
986        for i in 0..num_qubits {
987            gates.push(SynthesizedGate {
988                name: "Ry".to_string(),
989                qubits: vec![QubitId::new(i as u32)],
990                parameters: vec![spec
991                    .parameters
992                    .variational_params
993                    .get(i)
994                    .copied()
995                    .unwrap_or(0.0)],
996                matrix: None,
997                metadata: GateMetadata {
998                    layer: 0,
999                    purpose: "Parameterized rotation".to_string(),
1000                    hints: vec!["single_qubit".to_string()],
1001                    hardware_preferences: vec!["any".to_string()],
1002                },
1003            });
1004        }
1005
1006        // Add entangling gates
1007        for i in 0..num_qubits - 1 {
1008            gates.push(SynthesizedGate {
1009                name: "CNOT".to_string(),
1010                qubits: vec![QubitId::new(i as u32), QubitId::new((i + 1) as u32)],
1011                parameters: vec![],
1012                matrix: None,
1013                metadata: GateMetadata {
1014                    layer: 1,
1015                    purpose: "Entangling gate".to_string(),
1016                    hints: vec!["two_qubit".to_string()],
1017                    hardware_preferences: vec!["any".to_string()],
1018                },
1019            });
1020        }
1021
1022        // Second layer of rotations
1023        for i in 0..num_qubits {
1024            let param_idx = num_qubits + i;
1025            gates.push(SynthesizedGate {
1026                name: "Rz".to_string(),
1027                qubits: vec![QubitId::new(i as u32)],
1028                parameters: vec![spec
1029                    .parameters
1030                    .variational_params
1031                    .get(param_idx)
1032                    .copied()
1033                    .unwrap_or(0.0)],
1034                matrix: None,
1035                metadata: GateMetadata {
1036                    layer: 2,
1037                    purpose: "Parameterized rotation".to_string(),
1038                    hints: vec!["single_qubit".to_string()],
1039                    hardware_preferences: vec!["any".to_string()],
1040                },
1041            });
1042        }
1043
1044        let qubit_mapping: HashMap<String, QubitId> = (0..num_qubits)
1045            .map(|i| (format!("q{i}"), QubitId::new(i as u32)))
1046            .collect();
1047
1048        let resource_estimates = ResourceEstimates {
1049            gate_count: gates.len(),
1050            circuit_depth: 3,
1051            qubit_count: num_qubits,
1052            gate_breakdown: {
1053                let mut breakdown = HashMap::new();
1054                breakdown.insert("Ry".to_string(), num_qubits);
1055                breakdown.insert("CNOT".to_string(), num_qubits - 1);
1056                breakdown.insert("Rz".to_string(), num_qubits);
1057                breakdown
1058            },
1059            estimated_execution_time: Duration::from_micros((gates.len() * 100) as u64),
1060            memory_requirements: 1 << num_qubits,
1061            parallelization_factor: 0.5,
1062        };
1063
1064        Ok(SynthesizedCircuit {
1065            gates,
1066            qubit_mapping,
1067            metadata: CircuitMetadata {
1068                source_algorithm: QuantumAlgorithmType::VQE,
1069                synthesis_time: Instant::now(),
1070                synthesis_duration: Duration::default(),
1071                algorithm_version: "1.0.0".to_string(),
1072                synthesis_parameters: HashMap::new(),
1073            },
1074            resource_estimates: resource_estimates.clone(),
1075            optimization_report: OptimizationReport {
1076                original_stats: resource_estimates.clone(),
1077                optimized_stats: resource_estimates,
1078                optimizations_applied: vec![],
1079                improvements: HashMap::new(),
1080            },
1081        })
1082    }
1083
1084    fn estimate_resources(
1085        &self,
1086        spec: &AlgorithmSpecification,
1087    ) -> QuantRS2Result<ResourceEstimates> {
1088        let num_qubits = spec.parameters.num_qubits;
1089        let gate_count = num_qubits * 2 + (num_qubits - 1); // 2 rotation layers + CNOT layer
1090
1091        Ok(ResourceEstimates {
1092            gate_count,
1093            circuit_depth: 3,
1094            qubit_count: num_qubits,
1095            gate_breakdown: HashMap::new(),
1096            estimated_execution_time: Duration::from_micros((gate_count * 100) as u64),
1097            memory_requirements: 1 << num_qubits,
1098            parallelization_factor: 0.5,
1099        })
1100    }
1101
1102    fn get_template_info(&self) -> TemplateInfo {
1103        TemplateInfo {
1104            name: "VQE".to_string(),
1105            supported_parameters: vec!["num_qubits".to_string(), "variational_params".to_string()],
1106            required_parameters: vec!["num_qubits".to_string()],
1107            complexity_scaling: "O(n^2)".to_string(),
1108            hardware_compatibility: vec!["all".to_string()],
1109        }
1110    }
1111
1112    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1113        if spec.parameters.num_qubits == 0 {
1114            return Err(QuantRS2Error::InvalidParameter(
1115                "num_qubits must be > 0".to_string(),
1116            ));
1117        }
1118        Ok(())
1119    }
1120}
1121
1122// Similar implementations for other algorithm templates
1123#[derive(Debug)]
1124struct QAOATemplate;
1125
1126impl QAOATemplate {
1127    const fn new() -> Self {
1128        Self
1129    }
1130}
1131
1132impl AlgorithmTemplate for QAOATemplate {
1133    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1134        // QAOA implementation would be more complex
1135        // For now, return a simplified version
1136        let num_qubits = spec.parameters.num_qubits;
1137        let mut gates = Vec::new();
1138
1139        // Initial superposition
1140        for i in 0..num_qubits {
1141            gates.push(SynthesizedGate {
1142                name: "H".to_string(),
1143                qubits: vec![QubitId::new(i as u32)],
1144                parameters: vec![],
1145                matrix: None,
1146                metadata: GateMetadata {
1147                    layer: 0,
1148                    purpose: "Initial superposition".to_string(),
1149                    hints: vec!["single_qubit".to_string()],
1150                    hardware_preferences: vec!["any".to_string()],
1151                },
1152            });
1153        }
1154
1155        self.create_circuit_from_gates(gates, num_qubits, QuantumAlgorithmType::QAOA)
1156    }
1157
1158    fn estimate_resources(
1159        &self,
1160        spec: &AlgorithmSpecification,
1161    ) -> QuantRS2Result<ResourceEstimates> {
1162        let num_qubits = spec.parameters.num_qubits;
1163        let p_layers = spec
1164            .parameters
1165            .algorithm_specific
1166            .get("p_layers")
1167            .and_then(|v| {
1168                if let ParameterValue::Integer(i) = v {
1169                    Some(*i as usize)
1170                } else {
1171                    None
1172                }
1173            })
1174            .unwrap_or(1);
1175
1176        let gate_count = num_qubits + 2 * p_layers * num_qubits; // H gates + p layers of problem and mixer
1177
1178        Ok(ResourceEstimates {
1179            gate_count,
1180            circuit_depth: 1 + 2 * p_layers,
1181            qubit_count: num_qubits,
1182            gate_breakdown: HashMap::new(),
1183            estimated_execution_time: Duration::from_micros((gate_count * 100) as u64),
1184            memory_requirements: 1 << num_qubits,
1185            parallelization_factor: 0.7,
1186        })
1187    }
1188
1189    fn get_template_info(&self) -> TemplateInfo {
1190        TemplateInfo {
1191            name: "QAOA".to_string(),
1192            supported_parameters: vec![
1193                "num_qubits".to_string(),
1194                "p_layers".to_string(),
1195                "graph".to_string(),
1196            ],
1197            required_parameters: vec!["num_qubits".to_string()],
1198            complexity_scaling: "O(p*m)".to_string(),
1199            hardware_compatibility: vec!["all".to_string()],
1200        }
1201    }
1202
1203    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1204        if spec.parameters.num_qubits == 0 {
1205            return Err(QuantRS2Error::InvalidParameter(
1206                "num_qubits must be > 0".to_string(),
1207            ));
1208        }
1209        Ok(())
1210    }
1211}
1212
1213impl QAOATemplate {
1214    fn create_circuit_from_gates(
1215        &self,
1216        gates: Vec<SynthesizedGate>,
1217        num_qubits: usize,
1218        algorithm: QuantumAlgorithmType,
1219    ) -> QuantRS2Result<SynthesizedCircuit> {
1220        let qubit_mapping: HashMap<String, QubitId> = (0..num_qubits)
1221            .map(|i| (format!("q{i}"), QubitId::new(i as u32)))
1222            .collect();
1223
1224        let resource_estimates = ResourceEstimates {
1225            gate_count: gates.len(),
1226            circuit_depth: gates.iter().map(|g| g.metadata.layer).max().unwrap_or(0) + 1,
1227            qubit_count: num_qubits,
1228            gate_breakdown: {
1229                let mut breakdown = HashMap::new();
1230                for gate in &gates {
1231                    *breakdown.entry(gate.name.clone()).or_insert(0) += 1;
1232                }
1233                breakdown
1234            },
1235            estimated_execution_time: Duration::from_micros((gates.len() * 100) as u64),
1236            memory_requirements: 1 << num_qubits,
1237            parallelization_factor: 0.7,
1238        };
1239
1240        Ok(SynthesizedCircuit {
1241            gates,
1242            qubit_mapping,
1243            metadata: CircuitMetadata {
1244                source_algorithm: algorithm,
1245                synthesis_time: Instant::now(),
1246                synthesis_duration: Duration::default(),
1247                algorithm_version: "1.0.0".to_string(),
1248                synthesis_parameters: HashMap::new(),
1249            },
1250            resource_estimates: resource_estimates.clone(),
1251            optimization_report: OptimizationReport {
1252                original_stats: resource_estimates.clone(),
1253                optimized_stats: resource_estimates,
1254                optimizations_applied: vec![],
1255                improvements: HashMap::new(),
1256            },
1257        })
1258    }
1259}
1260
1261// Placeholder implementations for other templates
1262#[derive(Debug)]
1263struct GroverTemplate;
1264
1265impl GroverTemplate {
1266    const fn new() -> Self {
1267        Self
1268    }
1269}
1270
1271impl AlgorithmTemplate for GroverTemplate {
1272    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1273        // Grover's algorithm implementation
1274        let num_qubits = spec.parameters.num_qubits;
1275        let mut gates = Vec::new();
1276
1277        // Initial superposition
1278        for i in 0..num_qubits {
1279            gates.push(SynthesizedGate {
1280                name: "H".to_string(),
1281                qubits: vec![QubitId::new(i as u32)],
1282                parameters: vec![],
1283                matrix: None,
1284                metadata: GateMetadata {
1285                    layer: 0,
1286                    purpose: "Initial superposition".to_string(),
1287                    hints: vec!["single_qubit".to_string()],
1288                    hardware_preferences: vec!["any".to_string()],
1289                },
1290            });
1291        }
1292
1293        QAOATemplate::new().create_circuit_from_gates(
1294            gates,
1295            num_qubits,
1296            QuantumAlgorithmType::Grover,
1297        )
1298    }
1299
1300    fn estimate_resources(
1301        &self,
1302        spec: &AlgorithmSpecification,
1303    ) -> QuantRS2Result<ResourceEstimates> {
1304        let num_qubits = spec.parameters.num_qubits;
1305        let num_items = 2_usize.pow(num_qubits as u32);
1306        let iterations = (std::f64::consts::PI / 4.0 * (num_items as f64).sqrt()) as usize;
1307
1308        Ok(ResourceEstimates {
1309            gate_count: num_qubits + iterations * (num_qubits + 1), // Simplified estimate
1310            circuit_depth: 1 + iterations * 2,
1311            qubit_count: num_qubits,
1312            gate_breakdown: HashMap::new(),
1313            estimated_execution_time: Duration::from_micros((iterations * num_qubits * 100) as u64),
1314            memory_requirements: 1 << num_qubits,
1315            parallelization_factor: 0.3,
1316        })
1317    }
1318
1319    fn get_template_info(&self) -> TemplateInfo {
1320        TemplateInfo {
1321            name: "Grover".to_string(),
1322            supported_parameters: vec!["num_qubits".to_string(), "oracle".to_string()],
1323            required_parameters: vec!["num_qubits".to_string()],
1324            complexity_scaling: "O(√N)".to_string(),
1325            hardware_compatibility: vec!["all".to_string()],
1326        }
1327    }
1328
1329    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1330        if spec.parameters.num_qubits == 0 {
1331            return Err(QuantRS2Error::InvalidParameter(
1332                "num_qubits must be > 0".to_string(),
1333            ));
1334        }
1335        Ok(())
1336    }
1337}
1338
1339// Stub implementations for remaining templates
1340#[derive(Debug)]
1341struct QFTTemplate;
1342
1343impl QFTTemplate {
1344    const fn new() -> Self {
1345        Self
1346    }
1347}
1348
1349impl AlgorithmTemplate for QFTTemplate {
1350    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1351        QAOATemplate::new().create_circuit_from_gates(
1352            vec![],
1353            spec.parameters.num_qubits,
1354            QuantumAlgorithmType::QFT,
1355        )
1356    }
1357
1358    fn estimate_resources(
1359        &self,
1360        spec: &AlgorithmSpecification,
1361    ) -> QuantRS2Result<ResourceEstimates> {
1362        let n = spec.parameters.num_qubits;
1363        Ok(ResourceEstimates {
1364            gate_count: n * (n + 1) / 2, // O(n^2) gates
1365            circuit_depth: n,
1366            qubit_count: n,
1367            gate_breakdown: HashMap::new(),
1368            estimated_execution_time: Duration::from_micros((n * n * 50) as u64),
1369            memory_requirements: 1 << n,
1370            parallelization_factor: 0.4,
1371        })
1372    }
1373
1374    fn get_template_info(&self) -> TemplateInfo {
1375        TemplateInfo {
1376            name: "QFT".to_string(),
1377            supported_parameters: vec!["num_qubits".to_string()],
1378            required_parameters: vec!["num_qubits".to_string()],
1379            complexity_scaling: "O(n^2)".to_string(),
1380            hardware_compatibility: vec!["all".to_string()],
1381        }
1382    }
1383
1384    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1385        if spec.parameters.num_qubits == 0 {
1386            return Err(QuantRS2Error::InvalidParameter(
1387                "num_qubits must be > 0".to_string(),
1388            ));
1389        }
1390        Ok(())
1391    }
1392}
1393
1394#[derive(Debug)]
1395struct ShorTemplate;
1396
1397impl ShorTemplate {
1398    const fn new() -> Self {
1399        Self
1400    }
1401}
1402
1403impl AlgorithmTemplate for ShorTemplate {
1404    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1405        QAOATemplate::new().create_circuit_from_gates(
1406            vec![],
1407            spec.parameters.num_qubits,
1408            QuantumAlgorithmType::Shor,
1409        )
1410    }
1411
1412    fn estimate_resources(
1413        &self,
1414        spec: &AlgorithmSpecification,
1415    ) -> QuantRS2Result<ResourceEstimates> {
1416        let n = spec.parameters.num_qubits;
1417        Ok(ResourceEstimates {
1418            gate_count: n.pow(3), // O(n^3) gates
1419            circuit_depth: n.pow(2),
1420            qubit_count: n,
1421            gate_breakdown: HashMap::new(),
1422            estimated_execution_time: Duration::from_millis((n.pow(3) / 1000) as u64),
1423            memory_requirements: 1 << n,
1424            parallelization_factor: 0.6,
1425        })
1426    }
1427
1428    fn get_template_info(&self) -> TemplateInfo {
1429        TemplateInfo {
1430            name: "Shor".to_string(),
1431            supported_parameters: vec![
1432                "num_qubits".to_string(),
1433                "factorization_target".to_string(),
1434            ],
1435            required_parameters: vec!["num_qubits".to_string()],
1436            complexity_scaling: "O((log N)^3)".to_string(),
1437            hardware_compatibility: vec!["all".to_string()],
1438        }
1439    }
1440
1441    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1442        if spec.parameters.num_qubits == 0 {
1443            return Err(QuantRS2Error::InvalidParameter(
1444                "num_qubits must be > 0".to_string(),
1445            ));
1446        }
1447        Ok(())
1448    }
1449}
1450
1451#[derive(Debug)]
1452struct HHLTemplate;
1453
1454impl HHLTemplate {
1455    const fn new() -> Self {
1456        Self
1457    }
1458}
1459
1460impl AlgorithmTemplate for HHLTemplate {
1461    fn synthesize(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<SynthesizedCircuit> {
1462        QAOATemplate::new().create_circuit_from_gates(
1463            vec![],
1464            spec.parameters.num_qubits,
1465            QuantumAlgorithmType::HHL,
1466        )
1467    }
1468
1469    fn estimate_resources(
1470        &self,
1471        spec: &AlgorithmSpecification,
1472    ) -> QuantRS2Result<ResourceEstimates> {
1473        let n = spec.parameters.num_qubits;
1474        Ok(ResourceEstimates {
1475            gate_count: n * 10, // Simplified estimate
1476            circuit_depth: n,
1477            qubit_count: n,
1478            gate_breakdown: HashMap::new(),
1479            estimated_execution_time: Duration::from_micros((n * 500) as u64),
1480            memory_requirements: 1 << n,
1481            parallelization_factor: 0.5,
1482        })
1483    }
1484
1485    fn get_template_info(&self) -> TemplateInfo {
1486        TemplateInfo {
1487            name: "HHL".to_string(),
1488            supported_parameters: vec!["num_qubits".to_string(), "linear_system".to_string()],
1489            required_parameters: vec!["num_qubits".to_string()],
1490            complexity_scaling: "O(log N)".to_string(),
1491            hardware_compatibility: vec!["all".to_string()],
1492        }
1493    }
1494
1495    fn validate_specification(&self, spec: &AlgorithmSpecification) -> QuantRS2Result<()> {
1496        if spec.parameters.num_qubits == 0 {
1497            return Err(QuantRS2Error::InvalidParameter(
1498                "num_qubits must be > 0".to_string(),
1499            ));
1500        }
1501        Ok(())
1502    }
1503}
1504
1505impl AlgorithmTemplateLibrary {
1506    fn new() -> Self {
1507        Self {
1508            templates: HashMap::new(),
1509            template_metadata: HashMap::new(),
1510        }
1511    }
1512}
1513
1514impl SynthesisCache {
1515    fn new(max_size: usize) -> Self {
1516        Self {
1517            cache_entries: HashMap::new(),
1518            cache_stats: CacheStatistics::default(),
1519            max_cache_size: max_size,
1520        }
1521    }
1522}
1523
1524impl SynthesisPerformanceMonitor {
1525    fn new() -> Self {
1526        Self {
1527            synthesis_times: HashMap::new(),
1528            resource_usage: Vec::new(),
1529            cache_performance: CacheStatistics::default(),
1530            error_rates: HashMap::new(),
1531        }
1532    }
1533}
1534
1535/// Convenience functions for creating algorithm specifications
1536impl AlgorithmSpecification {
1537    /// Create VQE specification
1538    pub fn vqe(num_qubits: usize, variational_params: Vec<f64>) -> Self {
1539        Self {
1540            algorithm_type: QuantumAlgorithmType::VQE,
1541            parameters: AlgorithmParameters {
1542                num_qubits,
1543                max_depth: None,
1544                variational_params,
1545                algorithm_specific: HashMap::new(),
1546            },
1547            problem_instance: ProblemInstance {
1548                hamiltonian: None,
1549                graph: None,
1550                linear_system: None,
1551                search_space: None,
1552                factorization_target: None,
1553                custom_data: HashMap::new(),
1554            },
1555            constraints: SynthesisConstraints {
1556                max_qubits: None,
1557                max_depth: None,
1558                max_gates: None,
1559                hardware_constraints: None,
1560                min_fidelity: None,
1561                max_synthesis_time: None,
1562            },
1563            optimization_objectives: vec![SynthesisObjective::Balanced],
1564        }
1565    }
1566
1567    /// Create QAOA specification
1568    pub fn qaoa(num_qubits: usize, p_layers: usize, graph: GraphData) -> Self {
1569        let mut algorithm_specific = HashMap::new();
1570        algorithm_specific.insert(
1571            "p_layers".to_string(),
1572            ParameterValue::Integer(p_layers as i64),
1573        );
1574
1575        Self {
1576            algorithm_type: QuantumAlgorithmType::QAOA,
1577            parameters: AlgorithmParameters {
1578                num_qubits,
1579                max_depth: None,
1580                variational_params: vec![],
1581                algorithm_specific,
1582            },
1583            problem_instance: ProblemInstance {
1584                hamiltonian: None,
1585                graph: Some(graph),
1586                linear_system: None,
1587                search_space: None,
1588                factorization_target: None,
1589                custom_data: HashMap::new(),
1590            },
1591            constraints: SynthesisConstraints {
1592                max_qubits: None,
1593                max_depth: None,
1594                max_gates: None,
1595                hardware_constraints: None,
1596                min_fidelity: None,
1597                max_synthesis_time: None,
1598            },
1599            optimization_objectives: vec![SynthesisObjective::MinimizeDepth],
1600        }
1601    }
1602
1603    /// Create Grover specification
1604    pub fn grover(num_qubits: usize, search_space: SearchSpaceData) -> Self {
1605        Self {
1606            algorithm_type: QuantumAlgorithmType::Grover,
1607            parameters: AlgorithmParameters {
1608                num_qubits,
1609                max_depth: None,
1610                variational_params: vec![],
1611                algorithm_specific: HashMap::new(),
1612            },
1613            problem_instance: ProblemInstance {
1614                hamiltonian: None,
1615                graph: None,
1616                linear_system: None,
1617                search_space: Some(search_space),
1618                factorization_target: None,
1619                custom_data: HashMap::new(),
1620            },
1621            constraints: SynthesisConstraints {
1622                max_qubits: None,
1623                max_depth: None,
1624                max_gates: None,
1625                hardware_constraints: None,
1626                min_fidelity: None,
1627                max_synthesis_time: None,
1628            },
1629            optimization_objectives: vec![SynthesisObjective::MinimizeGates],
1630        }
1631    }
1632}
1633
1634#[cfg(test)]
1635mod tests {
1636    use super::*;
1637
1638    #[test]
1639    fn test_circuit_synthesizer_creation() {
1640        let synthesizer = CircuitSynthesizer::new();
1641        assert!(synthesizer.is_ok());
1642
1643        let synthesizer =
1644            synthesizer.expect("Failed to create synthesizer in test_circuit_synthesizer_creation");
1645        let available_algorithms = synthesizer.get_available_algorithms();
1646        assert!(available_algorithms.contains(&QuantumAlgorithmType::VQE));
1647        assert!(available_algorithms.contains(&QuantumAlgorithmType::QAOA));
1648        assert!(available_algorithms.contains(&QuantumAlgorithmType::Grover));
1649    }
1650
1651    #[test]
1652    fn test_vqe_synthesis() {
1653        let synthesizer =
1654            CircuitSynthesizer::new().expect("Failed to create synthesizer in test_vqe_synthesis");
1655        let spec = AlgorithmSpecification::vqe(4, vec![0.5, 0.3, 0.7, 0.1, 0.9, 0.2, 0.4, 0.8]);
1656
1657        let circuit = synthesizer.synthesize_circuit(&spec);
1658        assert!(circuit.is_ok());
1659
1660        let circuit = circuit.expect("Failed to synthesize VQE circuit in test_vqe_synthesis");
1661        assert_eq!(circuit.metadata.source_algorithm, QuantumAlgorithmType::VQE);
1662        assert_eq!(circuit.resource_estimates.qubit_count, 4);
1663        assert!(!circuit.gates.is_empty());
1664    }
1665
1666    #[test]
1667    fn test_qaoa_synthesis() {
1668        let synthesizer =
1669            CircuitSynthesizer::new().expect("Failed to create synthesizer in test_qaoa_synthesis");
1670
1671        let graph = GraphData {
1672            num_vertices: 4,
1673            adjacency_matrix: Array2::zeros((4, 4)),
1674            edge_weights: HashMap::new(),
1675            vertex_weights: vec![1.0; 4],
1676        };
1677
1678        let spec = AlgorithmSpecification::qaoa(4, 2, graph);
1679
1680        let circuit = synthesizer.synthesize_circuit(&spec);
1681        assert!(circuit.is_ok());
1682
1683        let circuit = circuit.expect("Failed to synthesize QAOA circuit in test_qaoa_synthesis");
1684        assert_eq!(
1685            circuit.metadata.source_algorithm,
1686            QuantumAlgorithmType::QAOA
1687        );
1688        assert_eq!(circuit.resource_estimates.qubit_count, 4);
1689    }
1690
1691    #[test]
1692    fn test_grover_synthesis() {
1693        let synthesizer = CircuitSynthesizer::new()
1694            .expect("Failed to create synthesizer in test_grover_synthesis");
1695
1696        let search_space = SearchSpaceData {
1697            total_items: 16,
1698            marked_items: 1,
1699            oracle_specification: OracleSpecification::MarkedStates(vec![5]),
1700        };
1701
1702        let spec = AlgorithmSpecification::grover(4, search_space);
1703
1704        let circuit = synthesizer.synthesize_circuit(&spec);
1705        assert!(circuit.is_ok());
1706
1707        let circuit =
1708            circuit.expect("Failed to synthesize Grover circuit in test_grover_synthesis");
1709        assert_eq!(
1710            circuit.metadata.source_algorithm,
1711            QuantumAlgorithmType::Grover
1712        );
1713        assert_eq!(circuit.resource_estimates.qubit_count, 4);
1714    }
1715
1716    #[test]
1717    fn test_resource_estimation() {
1718        let synthesizer = CircuitSynthesizer::new()
1719            .expect("Failed to create synthesizer in test_resource_estimation");
1720        let spec = AlgorithmSpecification::vqe(6, vec![0.0; 12]);
1721
1722        let estimates = synthesizer.estimate_resources(&spec);
1723        assert!(estimates.is_ok());
1724
1725        let estimates =
1726            estimates.expect("Failed to estimate resources in test_resource_estimation");
1727        assert_eq!(estimates.qubit_count, 6);
1728        assert!(estimates.gate_count > 0);
1729        assert!(estimates.circuit_depth > 0);
1730    }
1731
1732    #[test]
1733    fn test_synthesis_caching() {
1734        let synthesizer = CircuitSynthesizer::new()
1735            .expect("Failed to create synthesizer in test_synthesis_caching");
1736        let spec = AlgorithmSpecification::vqe(3, vec![0.1, 0.2, 0.3, 0.4, 0.5, 0.6]);
1737
1738        // First synthesis should be a cache miss
1739        let circuit1 = synthesizer
1740            .synthesize_circuit(&spec)
1741            .expect("Failed to synthesize circuit (first attempt) in test_synthesis_caching");
1742
1743        // Second synthesis with same spec should be a cache hit
1744        let circuit2 = synthesizer
1745            .synthesize_circuit(&spec)
1746            .expect("Failed to synthesize circuit (second attempt) in test_synthesis_caching");
1747
1748        // Circuits should be identical
1749        assert_eq!(circuit1.gates.len(), circuit2.gates.len());
1750        assert_eq!(
1751            circuit1.resource_estimates.gate_count,
1752            circuit2.resource_estimates.gate_count
1753        );
1754
1755        let stats = synthesizer.get_performance_stats();
1756        assert!(stats.cache_stats.cache_hits > 0);
1757    }
1758
1759    #[test]
1760    fn test_custom_template_registration() {
1761        let synthesizer = CircuitSynthesizer::new()
1762            .expect("Failed to create synthesizer in test_custom_template_registration");
1763
1764        // Register a custom template
1765        let custom_template = Box::new(VQETemplate::new());
1766        let custom_algorithm = QuantumAlgorithmType::Custom("MyAlgorithm".to_string());
1767
1768        assert!(synthesizer
1769            .register_template(custom_algorithm.clone(), custom_template)
1770            .is_ok());
1771
1772        let available_algorithms = synthesizer.get_available_algorithms();
1773        assert!(available_algorithms.contains(&custom_algorithm));
1774    }
1775
1776    #[test]
1777    fn test_optimization_objectives() {
1778        let synthesizer = CircuitSynthesizer::new()
1779            .expect("Failed to create synthesizer in test_optimization_objectives");
1780
1781        let mut spec = AlgorithmSpecification::vqe(4, vec![0.0; 8]);
1782        spec.optimization_objectives = vec![
1783            SynthesisObjective::MinimizeGates,
1784            SynthesisObjective::MinimizeDepth,
1785        ];
1786
1787        let circuit = synthesizer.synthesize_circuit(&spec);
1788        assert!(circuit.is_ok());
1789
1790        let circuit =
1791            circuit.expect("Failed to synthesize circuit in test_optimization_objectives");
1792        assert!(!circuit.optimization_report.optimizations_applied.is_empty());
1793    }
1794
1795    #[test]
1796    fn test_specification_validation() {
1797        let synthesizer = CircuitSynthesizer::new()
1798            .expect("Failed to create synthesizer in test_specification_validation");
1799
1800        // Invalid specification (0 qubits)
1801        let invalid_spec = AlgorithmSpecification::vqe(0, vec![]);
1802        let result = synthesizer.synthesize_circuit(&invalid_spec);
1803        assert!(result.is_err());
1804    }
1805
1806    #[test]
1807    fn test_performance_monitoring() {
1808        let synthesizer = CircuitSynthesizer::new()
1809            .expect("Failed to create synthesizer in test_performance_monitoring");
1810
1811        // Synthesize a few circuits
1812        for i in 2..5 {
1813            let spec = AlgorithmSpecification::vqe(i, vec![0.0; i * 2]);
1814            let _ = synthesizer.synthesize_circuit(&spec);
1815        }
1816
1817        let stats = synthesizer.get_performance_stats();
1818        assert!(stats.total_syntheses >= 3);
1819        assert!(stats
1820            .average_synthesis_times
1821            .contains_key(&QuantumAlgorithmType::VQE));
1822    }
1823
1824    #[test]
1825    fn test_different_algorithm_types() {
1826        let synthesizer = CircuitSynthesizer::new()
1827            .expect("Failed to create synthesizer in test_different_algorithm_types");
1828
1829        // Test QFT
1830        let qft_spec = AlgorithmSpecification {
1831            algorithm_type: QuantumAlgorithmType::QFT,
1832            parameters: AlgorithmParameters {
1833                num_qubits: 3,
1834                max_depth: None,
1835                variational_params: vec![],
1836                algorithm_specific: HashMap::new(),
1837            },
1838            problem_instance: ProblemInstance {
1839                hamiltonian: None,
1840                graph: None,
1841                linear_system: None,
1842                search_space: None,
1843                factorization_target: None,
1844                custom_data: HashMap::new(),
1845            },
1846            constraints: SynthesisConstraints {
1847                max_qubits: None,
1848                max_depth: None,
1849                max_gates: None,
1850                hardware_constraints: None,
1851                min_fidelity: None,
1852                max_synthesis_time: None,
1853            },
1854            optimization_objectives: vec![SynthesisObjective::Balanced],
1855        };
1856
1857        let qft_circuit = synthesizer.synthesize_circuit(&qft_spec);
1858        assert!(qft_circuit.is_ok());
1859
1860        let qft_circuit = qft_circuit
1861            .expect("Failed to synthesize QFT circuit in test_different_algorithm_types");
1862        assert_eq!(
1863            qft_circuit.metadata.source_algorithm,
1864            QuantumAlgorithmType::QFT
1865        );
1866    }
1867
1868    #[test]
1869    fn test_resource_estimation_scaling() {
1870        let synthesizer = CircuitSynthesizer::new()
1871            .expect("Failed to create synthesizer in test_resource_estimation_scaling");
1872
1873        // Test scaling of VQE resources
1874        let small_spec = AlgorithmSpecification::vqe(3, vec![0.0; 6]);
1875        let large_spec = AlgorithmSpecification::vqe(6, vec![0.0; 12]);
1876
1877        let small_estimates = synthesizer.estimate_resources(&small_spec).expect(
1878            "Failed to estimate resources for small spec in test_resource_estimation_scaling",
1879        );
1880        let large_estimates = synthesizer.estimate_resources(&large_spec).expect(
1881            "Failed to estimate resources for large spec in test_resource_estimation_scaling",
1882        );
1883
1884        // Larger circuit should have more resources
1885        assert!(large_estimates.gate_count > small_estimates.gate_count);
1886        assert!(large_estimates.qubit_count > small_estimates.qubit_count);
1887        assert!(large_estimates.memory_requirements > small_estimates.memory_requirements);
1888    }
1889}
quantrs2_core/circuit_synthesis.rs

quantrs2_core/
circuit_synthesis.rs
