quantrs2_core/
scirs2_quantum_linter.rs

1//! SciRS2-Enhanced Quantum Circuit Linter
2//!
3//! This module provides comprehensive linting and static analysis for quantum circuits
4//! using SciRS2's advanced pattern matching, optimization detection, and code quality analysis.
5
6use crate::error::QuantRS2Error;
7use crate::gate_translation::GateType;
8use std::collections::{HashMap, HashSet};
9
10/// SciRS2-enhanced quantum gate representation for linting
11#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
12pub struct QuantumGate {
13    gate_type: GateType,
14    target_qubits: Vec<usize>,
15    control_qubits: Option<Vec<usize>>,
16}
17
18impl QuantumGate {
19    pub fn new(
20        gate_type: GateType,
21        target_qubits: Vec<usize>,
22        control_qubits: Option<Vec<usize>>,
23    ) -> Self {
24        Self {
25            gate_type,
26            target_qubits,
27            control_qubits,
28        }
29    }
30
31    pub fn gate_type(&self) -> &GateType {
32        &self.gate_type
33    }
34
35    pub fn target_qubits(&self) -> &[usize] {
36        &self.target_qubits
37    }
38
39    pub fn control_qubits(&self) -> Option<&[usize]> {
40        self.control_qubits.as_deref()
41    }
42}
43
44/// Configuration for SciRS2-enhanced quantum linting
45#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
46pub struct LintingConfig {
47    /// Enable performance optimization detection
48    pub detect_performance_issues: bool,
49    /// Enable gate pattern analysis
50    pub analyze_gate_patterns: bool,
51    /// Enable circuit structure analysis
52    pub analyze_circuit_structure: bool,
53    /// Enable resource usage analysis
54    pub analyze_resource_usage: bool,
55    /// Enable best practices checking
56    pub check_best_practices: bool,
57    /// Enable quantum-specific anti-patterns detection
58    pub detect_quantum_antipatterns: bool,
59    /// Enable SIMD optimization suggestions
60    pub suggest_simd_optimizations: bool,
61    /// Enable parallel execution analysis
62    pub analyze_parallel_potential: bool,
63    /// Enable memory efficiency analysis
64    pub analyze_memory_efficiency: bool,
65    /// Severity threshold for reporting
66    pub severity_threshold: LintSeverity,
67    /// Enable automatic fix suggestions
68    pub suggest_automatic_fixes: bool,
69    /// Enable SciRS2-specific optimizations
70    pub enable_scirs2_optimizations: bool,
71}
72
73impl Default for LintingConfig {
74    fn default() -> Self {
75        Self {
76            detect_performance_issues: true,
77            analyze_gate_patterns: true,
78            analyze_circuit_structure: true,
79            analyze_resource_usage: true,
80            check_best_practices: true,
81            detect_quantum_antipatterns: true,
82            suggest_simd_optimizations: true,
83            analyze_parallel_potential: true,
84            analyze_memory_efficiency: true,
85            severity_threshold: LintSeverity::Info,
86            suggest_automatic_fixes: true,
87            enable_scirs2_optimizations: true,
88        }
89    }
90}
91
92/// Severity levels for lint findings
93#[derive(
94    Debug, Clone, PartialEq, Eq, PartialOrd, Ord, Hash, serde::Serialize, serde::Deserialize,
95)]
96pub enum LintSeverity {
97    Info,
98    Warning,
99    Error,
100    Critical,
101}
102
103/// SciRS2-enhanced quantum circuit linter
104pub struct SciRS2QuantumLinter {
105    config: LintingConfig,
106    pattern_matcher: PatternMatcher,
107    performance_analyzer: PerformanceAnalyzer,
108    structure_analyzer: StructureAnalyzer,
109    resource_analyzer: ResourceAnalyzer,
110    best_practices_checker: BestPracticesChecker,
111    antipattern_detector: AntipatternDetector,
112    optimization_suggester: OptimizationSuggester,
113    fix_generator: AutomaticFixGenerator,
114    scirs2_optimizer: SciRS2Optimizer,
115}
116
117impl SciRS2QuantumLinter {
118    /// Create a new SciRS2-enhanced quantum linter
119    pub fn new() -> Self {
120        let config = LintingConfig::default();
121        Self::with_config(config)
122    }
123
124    /// Create linter with custom configuration
125    pub fn with_config(config: LintingConfig) -> Self {
126        Self {
127            config,
128            pattern_matcher: PatternMatcher::new(),
129            performance_analyzer: PerformanceAnalyzer::new(),
130            structure_analyzer: StructureAnalyzer::new(),
131            resource_analyzer: ResourceAnalyzer::new(),
132            best_practices_checker: BestPracticesChecker::new(),
133            antipattern_detector: AntipatternDetector::new(),
134            optimization_suggester: OptimizationSuggester::new(),
135            fix_generator: AutomaticFixGenerator::new(),
136            scirs2_optimizer: SciRS2Optimizer::new(),
137        }
138    }
139
140    /// Perform comprehensive circuit linting
141    pub fn lint_circuit(
142        &self,
143        circuit: &[QuantumGate],
144        num_qubits: usize,
145    ) -> Result<LintingReport, QuantRS2Error> {
146        let mut findings = Vec::new();
147
148        // Performance issue detection
149        if self.config.detect_performance_issues {
150            let performance_issues = self
151                .performance_analyzer
152                .analyze_performance(circuit, num_qubits)?;
153            findings.extend(performance_issues);
154        }
155
156        // Gate pattern analysis
157        if self.config.analyze_gate_patterns {
158            let pattern_issues = self.pattern_matcher.analyze_patterns(circuit)?;
159            findings.extend(pattern_issues);
160        }
161
162        // Circuit structure analysis
163        if self.config.analyze_circuit_structure {
164            let structure_issues = self
165                .structure_analyzer
166                .analyze_structure(circuit, num_qubits)?;
167            findings.extend(structure_issues);
168        }
169
170        // Resource usage analysis
171        if self.config.analyze_resource_usage {
172            let resource_issues = self.resource_analyzer.analyze_usage(circuit, num_qubits)?;
173            findings.extend(resource_issues);
174        }
175
176        // Best practices checking
177        if self.config.check_best_practices {
178            let best_practice_issues = self
179                .best_practices_checker
180                .check_practices(circuit, num_qubits)?;
181            findings.extend(best_practice_issues);
182        }
183
184        // Anti-pattern detection
185        if self.config.detect_quantum_antipatterns {
186            let antipattern_issues = self.antipattern_detector.detect_antipatterns(circuit)?;
187            findings.extend(antipattern_issues);
188        }
189
190        // SciRS2-specific optimization suggestions
191        if self.config.enable_scirs2_optimizations {
192            let scirs2_suggestions = self
193                .scirs2_optimizer
194                .analyze_optimization_opportunities(circuit, num_qubits)?;
195            findings.extend(scirs2_suggestions);
196        }
197
198        // Filter findings by severity threshold
199        findings.retain(|finding| finding.severity >= self.config.severity_threshold);
200
201        // Generate automatic fixes if enabled
202        let automatic_fixes = if self.config.suggest_automatic_fixes {
203            self.fix_generator.generate_fixes(&findings, circuit)?
204        } else {
205            Vec::new()
206        };
207
208        // Generate optimization suggestions
209        let optimization_suggestions =
210            if self.config.suggest_simd_optimizations || self.config.analyze_parallel_potential {
211                self.optimization_suggester
212                    .generate_suggestions(circuit, &findings)?
213            } else {
214                Vec::new()
215            };
216
217        // Calculate overall code quality score
218        let quality_score = self.calculate_code_quality_score(&findings, circuit.len());
219
220        Ok(LintingReport {
221            total_findings: findings.len(),
222            findings_by_severity: self.categorize_findings_by_severity(&findings),
223            findings: findings.clone(),
224            automatic_fixes,
225            optimization_suggestions,
226            code_quality_score: quality_score,
227            scirs2_enhancement_opportunities: self
228                .identify_scirs2_enhancement_opportunities(circuit)?,
229            recommendations: self.generate_overall_recommendations(&findings, circuit)?,
230        })
231    }
232
233    /// Lint a specific gate pattern
234    pub fn lint_gate_pattern(
235        &self,
236        pattern: &[QuantumGate],
237    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
238        let mut findings = Vec::new();
239
240        // Check for common inefficient patterns
241        findings.extend(self.check_inefficient_patterns(pattern)?);
242
243        // Check for gate optimization opportunities
244        findings.extend(self.check_gate_optimization_opportunities(pattern)?);
245
246        // Check for SIMD optimization potential
247        if self.config.suggest_simd_optimizations {
248            findings.extend(self.check_simd_optimization_potential(pattern)?);
249        }
250
251        Ok(findings)
252    }
253
254    /// Check for inefficient gate patterns
255    fn check_inefficient_patterns(
256        &self,
257        pattern: &[QuantumGate],
258    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
259        let mut findings = Vec::new();
260
261        // Check for redundant gate sequences (e.g., X-X, H-H)
262        for window in pattern.windows(2) {
263            if window.len() == 2 {
264                let gate1 = &window[0];
265                let gate2 = &window[1];
266
267                if self.are_gates_canceling(gate1, gate2) {
268                    findings.push(LintFinding {
269                        finding_type: LintFindingType::PerformanceIssue,
270                        severity: LintSeverity::Warning,
271                        message: format!(
272                            "Redundant gate sequence: {:?} followed by {:?}",
273                            gate1.gate_type(),
274                            gate2.gate_type()
275                        ),
276                        location: LintLocation::GateSequence(vec![0, 1]), // Simplified location
277                        suggestion: Some("Remove redundant gates or combine them".to_string()),
278                        automatic_fix_available: true,
279                        scirs2_optimization_potential: true,
280                    });
281                }
282            }
283        }
284
285        // Check for inefficient rotations (multiple small rotations that could be combined)
286        findings.extend(self.check_rotation_inefficiencies(pattern)?);
287
288        // Check for suboptimal gate ordering
289        findings.extend(self.check_gate_ordering(pattern)?);
290
291        Ok(findings)
292    }
293
294    /// Check if two gates cancel each other out
295    fn are_gates_canceling(&self, gate1: &QuantumGate, gate2: &QuantumGate) -> bool {
296        if gate1.target_qubits() != gate2.target_qubits() {
297            return false;
298        }
299
300        match (gate1.gate_type(), gate2.gate_type()) {
301            (GateType::X, GateType::X) => true,
302            (GateType::Y, GateType::Y) => true,
303            (GateType::Z, GateType::Z) => true,
304            (GateType::H, GateType::H) => true,
305            (GateType::CNOT, GateType::CNOT) => gate1.control_qubits() == gate2.control_qubits(),
306            _ => false,
307        }
308    }
309
310    /// Check for rotation inefficiencies
311    fn check_rotation_inefficiencies(
312        &self,
313        pattern: &[QuantumGate],
314    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
315        let mut findings = Vec::new();
316
317        // Look for consecutive rotation gates that could be combined
318        for window in pattern.windows(3) {
319            if window.len() == 3 {
320                let rotations: Vec<_> = window
321                    .iter()
322                    .filter(|gate| {
323                        matches!(
324                            gate.gate_type(),
325                            GateType::Rx(_) | GateType::Ry(_) | GateType::Rz(_)
326                        )
327                    })
328                    .collect();
329
330                if rotations.len() >= 2 && self.are_rotations_combinable(&rotations) {
331                    findings.push(LintFinding {
332                        finding_type: LintFindingType::OptimizationOpportunity,
333                        severity: LintSeverity::Info,
334                        message: "Multiple rotation gates can be combined into a single rotation"
335                            .to_string(),
336                        location: LintLocation::GateSequence((0..window.len()).collect()),
337                        suggestion: Some(
338                            "Combine consecutive rotation gates using SciRS2 gate fusion"
339                                .to_string(),
340                        ),
341                        automatic_fix_available: true,
342                        scirs2_optimization_potential: true,
343                    });
344                }
345            }
346        }
347
348        Ok(findings)
349    }
350
351    /// Check if rotation gates can be combined
352    fn are_rotations_combinable(&self, rotations: &[&QuantumGate]) -> bool {
353        if rotations.len() < 2 {
354            return false;
355        }
356
357        // Check if all rotations are on the same qubit and same axis
358        let first_target = rotations[0].target_qubits();
359        let first_type = rotations[0].gate_type();
360
361        rotations.iter().all(|gate| {
362            gate.target_qubits() == first_target
363                && std::mem::discriminant(gate.gate_type()) == std::mem::discriminant(first_type)
364        })
365    }
366
367    /// Check gate ordering for optimization opportunities
368    fn check_gate_ordering(
369        &self,
370        pattern: &[QuantumGate],
371    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
372        let mut findings = Vec::new();
373
374        // Check if commuting gates can be reordered for better parallelization
375        for i in 0..pattern.len() {
376            for j in i + 1..pattern.len() {
377                if self.can_gates_commute(&pattern[i], &pattern[j])
378                    && self.would_reordering_improve_parallelism(&pattern[i], &pattern[j])
379                {
380                    findings.push(LintFinding {
381                        finding_type: LintFindingType::OptimizationOpportunity,
382                        severity: LintSeverity::Info,
383                        message: "Gate reordering could improve parallelization".to_string(),
384                        location: LintLocation::GateSequence(vec![i, j]),
385                        suggestion: Some(
386                            "Reorder commuting gates to enable parallel execution".to_string(),
387                        ),
388                        automatic_fix_available: false,
389                        scirs2_optimization_potential: true,
390                    });
391                }
392            }
393        }
394
395        Ok(findings)
396    }
397
398    /// Check if two gates can commute
399    fn can_gates_commute(&self, gate1: &QuantumGate, gate2: &QuantumGate) -> bool {
400        // Simple check: gates commute if they operate on different qubits
401        let qubits1: HashSet<_> = gate1
402            .target_qubits()
403            .iter()
404            .chain(gate1.control_qubits().unwrap_or(&[]).iter())
405            .collect();
406        let qubits2: HashSet<_> = gate2
407            .target_qubits()
408            .iter()
409            .chain(gate2.control_qubits().unwrap_or(&[]).iter())
410            .collect();
411
412        qubits1.is_disjoint(&qubits2)
413    }
414
415    /// Check if reordering would improve parallelism
416    fn would_reordering_improve_parallelism(
417        &self,
418        _gate1: &QuantumGate,
419        _gate2: &QuantumGate,
420    ) -> bool {
421        // Simplified heuristic: assume reordering independent gates helps parallelism
422        true
423    }
424
425    /// Check gate optimization opportunities
426    fn check_gate_optimization_opportunities(
427        &self,
428        pattern: &[QuantumGate],
429    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
430        let mut findings = Vec::new();
431
432        // Check for gates that could benefit from SciRS2 optimizations
433        for (i, gate) in pattern.iter().enumerate() {
434            match gate.gate_type() {
435                GateType::CNOT => {
436                    findings.push(LintFinding {
437                        finding_type: LintFindingType::SciRS2Optimization,
438                        severity: LintSeverity::Info,
439                        message: "CNOT gate can benefit from SciRS2 SIMD optimization".to_string(),
440                        location: LintLocation::Gate(i),
441                        suggestion: Some(
442                            "Enable SciRS2 SIMD optimization for CNOT gates".to_string(),
443                        ),
444                        automatic_fix_available: false,
445                        scirs2_optimization_potential: true,
446                    });
447                }
448                GateType::H => {
449                    findings.push(LintFinding {
450                        finding_type: LintFindingType::SciRS2Optimization,
451                        severity: LintSeverity::Info,
452                        message: "Hadamard gate can benefit from SciRS2 vectorization".to_string(),
453                        location: LintLocation::Gate(i),
454                        suggestion: Some(
455                            "Use SciRS2 vectorized Hadamard implementation".to_string(),
456                        ),
457                        automatic_fix_available: false,
458                        scirs2_optimization_potential: true,
459                    });
460                }
461                _ => {}
462            }
463        }
464
465        Ok(findings)
466    }
467
468    /// Check SIMD optimization potential
469    fn check_simd_optimization_potential(
470        &self,
471        pattern: &[QuantumGate],
472    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
473        let mut findings = Vec::new();
474
475        // Look for patterns that could benefit from SIMD operations
476        let vectorizable_gates = pattern
477            .iter()
478            .enumerate()
479            .filter(|(_, gate)| self.is_gate_vectorizable(gate))
480            .collect::<Vec<_>>();
481
482        if vectorizable_gates.len() >= 2 {
483            findings.push(LintFinding {
484                finding_type: LintFindingType::SciRS2Optimization,
485                severity: LintSeverity::Info,
486                message: format!(
487                    "Found {} gates that could benefit from SIMD vectorization",
488                    vectorizable_gates.len()
489                ),
490                location: LintLocation::GateSequence(
491                    vectorizable_gates.iter().map(|(i, _)| *i).collect(),
492                ),
493                suggestion: Some(
494                    "Apply SciRS2 SIMD vectorization to improve performance".to_string(),
495                ),
496                automatic_fix_available: false,
497                scirs2_optimization_potential: true,
498            });
499        }
500
501        Ok(findings)
502    }
503
504    /// Check if a gate is vectorizable
505    fn is_gate_vectorizable(&self, gate: &QuantumGate) -> bool {
506        matches!(
507            gate.gate_type(),
508            GateType::X
509                | GateType::Y
510                | GateType::Z
511                | GateType::H
512                | GateType::Rx(_)
513                | GateType::Ry(_)
514                | GateType::Rz(_)
515                | GateType::Phase(_)
516        )
517    }
518
519    /// Categorize findings by severity
520    fn categorize_findings_by_severity(
521        &self,
522        findings: &[LintFinding],
523    ) -> HashMap<LintSeverity, usize> {
524        let mut counts = HashMap::new();
525        for finding in findings {
526            *counts.entry(finding.severity.clone()).or_insert(0) += 1;
527        }
528        counts
529    }
530
531    /// Calculate code quality score
532    fn calculate_code_quality_score(&self, findings: &[LintFinding], circuit_size: usize) -> f64 {
533        if circuit_size == 0 {
534            return 1.0;
535        }
536
537        let error_weight = 0.4;
538        let warning_weight = 0.2;
539        let info_weight = 0.1;
540
541        let mut penalty = 0.0;
542        for finding in findings {
543            let weight = match finding.severity {
544                LintSeverity::Critical => 0.8,
545                LintSeverity::Error => error_weight,
546                LintSeverity::Warning => warning_weight,
547                LintSeverity::Info => info_weight,
548            };
549            penalty += weight;
550        }
551
552        let normalized_penalty = penalty / circuit_size as f64;
553        (1.0 - normalized_penalty).clamp(0.0, 1.0)
554    }
555
556    /// Identify SciRS2 enhancement opportunities
557    fn identify_scirs2_enhancement_opportunities(
558        &self,
559        circuit: &[QuantumGate],
560    ) -> Result<Vec<SciRS2Enhancement>, QuantRS2Error> {
561        let mut enhancements = Vec::new();
562
563        // SIMD opportunities
564        let simd_gates = circuit
565            .iter()
566            .filter(|gate| self.is_gate_vectorizable(gate))
567            .count();
568
569        if simd_gates > 0 {
570            enhancements.push(SciRS2Enhancement {
571                enhancement_type: EnhancementType::SimdVectorization,
572                description: format!("Enable SIMD vectorization for {} gates", simd_gates),
573                expected_speedup: 1.5 + (simd_gates as f64 * 0.1).min(2.0),
574                implementation_effort: ImplementationEffort::Low,
575            });
576        }
577
578        // Memory optimization opportunities
579        if circuit.len() > 100 {
580            enhancements.push(SciRS2Enhancement {
581                enhancement_type: EnhancementType::MemoryOptimization,
582                description: "Use SciRS2 memory-efficient state vector management".to_string(),
583                expected_speedup: 1.3,
584                implementation_effort: ImplementationEffort::Medium,
585            });
586        }
587
588        // Parallel execution opportunities
589        let parallel_gates = circuit
590            .iter()
591            .enumerate()
592            .filter(|(i, gate)| {
593                circuit
594                    .iter()
595                    .skip(i + 1)
596                    .any(|other_gate| self.can_gates_commute(gate, other_gate))
597            })
598            .count();
599
600        if parallel_gates > 5 {
601            enhancements.push(SciRS2Enhancement {
602                enhancement_type: EnhancementType::ParallelExecution,
603                description: format!(
604                    "Enable parallel execution for {} independent gates",
605                    parallel_gates
606                ),
607                expected_speedup: 1.8,
608                implementation_effort: ImplementationEffort::Medium,
609            });
610        }
611
612        Ok(enhancements)
613    }
614
615    /// Generate overall recommendations
616    fn generate_overall_recommendations(
617        &self,
618        findings: &[LintFinding],
619        circuit: &[QuantumGate],
620    ) -> Result<Vec<String>, QuantRS2Error> {
621        let mut recommendations = Vec::new();
622
623        let critical_count = findings
624            .iter()
625            .filter(|f| f.severity == LintSeverity::Critical)
626            .count();
627        let error_count = findings
628            .iter()
629            .filter(|f| f.severity == LintSeverity::Error)
630            .count();
631        let warning_count = findings
632            .iter()
633            .filter(|f| f.severity == LintSeverity::Warning)
634            .count();
635
636        if critical_count > 0 {
637            recommendations.push(format!(
638                "Address {} critical issues immediately",
639                critical_count
640            ));
641        }
642
643        if error_count > 0 {
644            recommendations.push(format!(
645                "Fix {} error-level issues to improve circuit correctness",
646                error_count
647            ));
648        }
649
650        if warning_count > 0 {
651            recommendations.push(format!(
652                "Consider addressing {} warnings to improve performance",
653                warning_count
654            ));
655        }
656
657        // SciRS2-specific recommendations
658        let scirs2_opportunities = findings
659            .iter()
660            .filter(|f| f.scirs2_optimization_potential)
661            .count();
662
663        if scirs2_opportunities > 0 {
664            recommendations.push(format!(
665                "Implement {} SciRS2 optimizations for enhanced performance",
666                scirs2_opportunities
667            ));
668        }
669
670        if circuit.len() > 50 {
671            recommendations
672                .push("Consider circuit compression techniques for large circuits".to_string());
673        }
674
675        if recommendations.is_empty() {
676            recommendations.push("Circuit looks good! Consider enabling SciRS2 optimizations for enhanced performance".to_string());
677        }
678
679        Ok(recommendations)
680    }
681}
682
683/// Data structures for linting results
684
685#[derive(Debug, Clone)]
686pub struct LintingReport {
687    pub total_findings: usize,
688    pub findings_by_severity: HashMap<LintSeverity, usize>,
689    pub findings: Vec<LintFinding>,
690    pub automatic_fixes: Vec<AutomaticFix>,
691    pub optimization_suggestions: Vec<OptimizationSuggestion>,
692    pub code_quality_score: f64,
693    pub scirs2_enhancement_opportunities: Vec<SciRS2Enhancement>,
694    pub recommendations: Vec<String>,
695}
696
697#[derive(Debug, Clone)]
698pub struct LintFinding {
699    pub finding_type: LintFindingType,
700    pub severity: LintSeverity,
701    pub message: String,
702    pub location: LintLocation,
703    pub suggestion: Option<String>,
704    pub automatic_fix_available: bool,
705    pub scirs2_optimization_potential: bool,
706}
707
708#[derive(Debug, Clone, PartialEq)]
709pub enum LintFindingType {
710    PerformanceIssue,
711    BestPracticeViolation,
712    QuantumAntipattern,
713    OptimizationOpportunity,
714    SciRS2Optimization,
715    ResourceWaste,
716    StructuralIssue,
717}
718
719#[derive(Debug, Clone)]
720pub enum LintLocation {
721    Gate(usize),
722    GateSequence(Vec<usize>),
723    Qubit(usize),
724    Circuit,
725}
726
727#[derive(Debug, Clone)]
728pub struct AutomaticFix {
729    pub fix_type: FixType,
730    pub description: String,
731    pub original_gates: Vec<usize>,
732    pub replacement_gates: Vec<QuantumGate>,
733    pub confidence: f64,
734}
735
736#[derive(Debug, Clone)]
737pub enum FixType {
738    RemoveRedundantGates,
739    CombineRotations,
740    ReorderGates,
741    ReplaceWithOptimized,
742    ApplySciRS2Optimization,
743}
744
745#[derive(Debug, Clone)]
746pub struct OptimizationSuggestion {
747    pub suggestion_type: OptimizationType,
748    pub description: String,
749    pub expected_improvement: String,
750    pub implementation_complexity: ImplementationComplexity,
751}
752
753#[derive(Debug, Clone)]
754pub enum OptimizationType {
755    SimdVectorization,
756    ParallelExecution,
757    MemoryOptimization,
758    GateFusion,
759    CircuitCompression,
760}
761
762#[derive(Debug, Clone)]
763pub enum ImplementationComplexity {
764    Low,
765    Medium,
766    High,
767}
768
769#[derive(Debug, Clone)]
770pub struct SciRS2Enhancement {
771    pub enhancement_type: EnhancementType,
772    pub description: String,
773    pub expected_speedup: f64,
774    pub implementation_effort: ImplementationEffort,
775}
776
777#[derive(Debug, Clone)]
778pub enum EnhancementType {
779    SimdVectorization,
780    MemoryOptimization,
781    ParallelExecution,
782    NumericalStability,
783    CacheOptimization,
784}
785
786#[derive(Debug, Clone)]
787pub enum ImplementationEffort {
788    Low,
789    Medium,
790    High,
791}
792
793// Placeholder implementations for supporting analysis modules
794
795#[derive(Debug)]
796pub struct PatternMatcher {}
797
798impl PatternMatcher {
799    pub fn new() -> Self {
800        Self {}
801    }
802
803    pub fn analyze_patterns(
804        &self,
805        _circuit: &[QuantumGate],
806    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
807        Ok(vec![])
808    }
809}
810
811#[derive(Debug)]
812pub struct PerformanceAnalyzer {}
813
814impl PerformanceAnalyzer {
815    pub fn new() -> Self {
816        Self {}
817    }
818
819    pub fn analyze_performance(
820        &self,
821        circuit: &[QuantumGate],
822        _num_qubits: usize,
823    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
824        let mut findings = Vec::new();
825
826        // Example: detect long circuits that might benefit from optimization
827        if circuit.len() > 100 {
828            findings.push(LintFinding {
829                finding_type: LintFindingType::PerformanceIssue,
830                severity: LintSeverity::Warning,
831                message: "Large circuit detected - consider optimization techniques".to_string(),
832                location: LintLocation::Circuit,
833                suggestion: Some("Apply circuit compression or gate fusion techniques".to_string()),
834                automatic_fix_available: false,
835                scirs2_optimization_potential: true,
836            });
837        }
838
839        Ok(findings)
840    }
841}
842
843#[derive(Debug)]
844pub struct StructureAnalyzer {}
845
846impl StructureAnalyzer {
847    pub fn new() -> Self {
848        Self {}
849    }
850
851    pub fn analyze_structure(
852        &self,
853        _circuit: &[QuantumGate],
854        _num_qubits: usize,
855    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
856        Ok(vec![])
857    }
858}
859
860#[derive(Debug)]
861pub struct ResourceAnalyzer {}
862
863impl ResourceAnalyzer {
864    pub fn new() -> Self {
865        Self {}
866    }
867
868    pub fn analyze_usage(
869        &self,
870        _circuit: &[QuantumGate],
871        _num_qubits: usize,
872    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
873        Ok(vec![])
874    }
875}
876
877#[derive(Debug)]
878pub struct BestPracticesChecker {}
879
880impl BestPracticesChecker {
881    pub fn new() -> Self {
882        Self {}
883    }
884
885    pub fn check_practices(
886        &self,
887        _circuit: &[QuantumGate],
888        _num_qubits: usize,
889    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
890        Ok(vec![])
891    }
892}
893
894#[derive(Debug)]
895pub struct AntipatternDetector {}
896
897impl AntipatternDetector {
898    pub fn new() -> Self {
899        Self {}
900    }
901
902    pub fn detect_antipatterns(
903        &self,
904        _circuit: &[QuantumGate],
905    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
906        Ok(vec![])
907    }
908}
909
910#[derive(Debug)]
911pub struct OptimizationSuggester {}
912
913impl OptimizationSuggester {
914    pub fn new() -> Self {
915        Self {}
916    }
917
918    pub fn generate_suggestions(
919        &self,
920        _circuit: &[QuantumGate],
921        _findings: &[LintFinding],
922    ) -> Result<Vec<OptimizationSuggestion>, QuantRS2Error> {
923        Ok(vec![])
924    }
925}
926
927#[derive(Debug)]
928pub struct AutomaticFixGenerator {}
929
930impl AutomaticFixGenerator {
931    pub fn new() -> Self {
932        Self {}
933    }
934
935    pub fn generate_fixes(
936        &self,
937        _findings: &[LintFinding],
938        _circuit: &[QuantumGate],
939    ) -> Result<Vec<AutomaticFix>, QuantRS2Error> {
940        Ok(vec![])
941    }
942}
943
944#[derive(Debug)]
945pub struct SciRS2Optimizer {}
946
947impl SciRS2Optimizer {
948    pub fn new() -> Self {
949        Self {}
950    }
951
952    pub fn analyze_optimization_opportunities(
953        &self,
954        circuit: &[QuantumGate],
955        _num_qubits: usize,
956    ) -> Result<Vec<LintFinding>, QuantRS2Error> {
957        let mut findings = Vec::new();
958
959        // Example: detect SIMD optimization opportunities
960        let vectorizable_count = circuit
961            .iter()
962            .filter(|gate| {
963                matches!(
964                    gate.gate_type(),
965                    GateType::X | GateType::Y | GateType::Z | GateType::H
966                )
967            })
968            .count();
969
970        if vectorizable_count > 5 {
971            findings.push(LintFinding {
972                finding_type: LintFindingType::SciRS2Optimization,
973                severity: LintSeverity::Info,
974                message: format!(
975                    "Found {} gates that could benefit from SciRS2 SIMD optimization",
976                    vectorizable_count
977                ),
978                location: LintLocation::Circuit,
979                suggestion: Some(
980                    "Enable SciRS2 SIMD vectorization for Pauli and Hadamard gates".to_string(),
981                ),
982                automatic_fix_available: false,
983                scirs2_optimization_potential: true,
984            });
985        }
986
987        Ok(findings)
988    }
989}
990
991#[cfg(test)]
992mod tests {
993    use super::*;
994
995    #[test]
996    fn test_linter_creation() {
997        let linter = SciRS2QuantumLinter::new();
998        assert!(linter.config.detect_performance_issues);
999        assert!(linter.config.analyze_gate_patterns);
1000    }
1001
1002    #[test]
1003    fn test_circuit_linting() {
1004        let linter = SciRS2QuantumLinter::new();
1005        let circuit = vec![
1006            QuantumGate::new(GateType::H, vec![0], None),
1007            QuantumGate::new(GateType::CNOT, vec![0, 1], None),
1008        ];
1009
1010        let report = linter.lint_circuit(&circuit, 2).unwrap();
1011        assert!(report.code_quality_score > 0.0);
1012        assert!(report.code_quality_score <= 1.0);
1013    }
1014
1015    #[test]
1016    fn test_redundant_gate_detection() {
1017        let linter = SciRS2QuantumLinter::new();
1018        let pattern = vec![
1019            QuantumGate::new(GateType::X, vec![0], None),
1020            QuantumGate::new(GateType::X, vec![0], None), // Redundant
1021        ];
1022
1023        let findings = linter.lint_gate_pattern(&pattern).unwrap();
1024        assert!(!findings.is_empty());
1025        assert!(findings
1026            .iter()
1027            .any(|f| f.finding_type == LintFindingType::PerformanceIssue));
1028    }
1029
1030    #[test]
1031    fn test_gate_cancellation_detection() {
1032        let linter = SciRS2QuantumLinter::new();
1033        let gate1 = QuantumGate::new(GateType::H, vec![0], None);
1034        let gate2 = QuantumGate::new(GateType::H, vec![0], None);
1035
1036        assert!(linter.are_gates_canceling(&gate1, &gate2));
1037    }
1038
1039    #[test]
1040    fn test_gate_commutativity() {
1041        let linter = SciRS2QuantumLinter::new();
1042        let gate1 = QuantumGate::new(GateType::X, vec![0], None);
1043        let gate2 = QuantumGate::new(GateType::Y, vec![1], None);
1044
1045        assert!(linter.can_gates_commute(&gate1, &gate2)); // Different qubits
1046    }
1047
1048    #[test]
1049    fn test_vectorizable_gate_detection() {
1050        let linter = SciRS2QuantumLinter::new();
1051        let h_gate = QuantumGate::new(GateType::H, vec![0], None);
1052        let cnot_gate = QuantumGate::new(GateType::CNOT, vec![0, 1], None);
1053
1054        assert!(linter.is_gate_vectorizable(&h_gate));
1055        assert!(!linter.is_gate_vectorizable(&cnot_gate));
1056    }
1057
1058    #[test]
1059    fn test_rotation_combination_detection() {
1060        let linter = SciRS2QuantumLinter::new();
1061        let gate1 = QuantumGate::new(GateType::Rx("0.1".to_string()), vec![0], None);
1062        let gate2 = QuantumGate::new(GateType::Rx("0.2".to_string()), vec![0], None);
1063        let rotations = vec![&gate1, &gate2];
1064
1065        assert!(linter.are_rotations_combinable(&rotations));
1066    }
1067
1068    #[test]
1069    fn test_code_quality_scoring() {
1070        let linter = SciRS2QuantumLinter::new();
1071
1072        // Empty findings should give perfect score
1073        let empty_findings = vec![];
1074        let score = linter.calculate_code_quality_score(&empty_findings, 10);
1075        assert_eq!(score, 1.0);
1076
1077        // Some findings should reduce score
1078        let findings = vec![LintFinding {
1079            finding_type: LintFindingType::PerformanceIssue,
1080            severity: LintSeverity::Error,
1081            message: "Test finding".to_string(),
1082            location: LintLocation::Gate(0),
1083            suggestion: None,
1084            automatic_fix_available: false,
1085            scirs2_optimization_potential: false,
1086        }];
1087        let score_with_findings = linter.calculate_code_quality_score(&findings, 10);
1088        assert!(score_with_findings < 1.0);
1089    }
1090
1091    #[test]
1092    fn test_scirs2_enhancement_identification() {
1093        let linter = SciRS2QuantumLinter::new();
1094        let circuit = vec![
1095            QuantumGate::new(GateType::H, vec![0], None),
1096            QuantumGate::new(GateType::X, vec![1], None),
1097            QuantumGate::new(GateType::Y, vec![2], None),
1098        ];
1099
1100        let enhancements = linter
1101            .identify_scirs2_enhancement_opportunities(&circuit)
1102            .unwrap();
1103        assert!(!enhancements.is_empty());
1104        assert!(enhancements
1105            .iter()
1106            .any(|e| matches!(e.enhancement_type, EnhancementType::SimdVectorization)));
1107    }
1108}
quantrs2_core/scirs2_quantum_linter.rs

quantrs2_core/
scirs2_quantum_linter.rs
