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oxirs_core/quantum/
mod.rs

1//! Quantum-Inspired Computing Module
2//!
3//! This module implements quantum-inspired algorithms for RDF processing,
4//! leveraging quantum computing concepts for enhanced graph operations
5//! and advanced optimization techniques.
6
7#![allow(dead_code)]
8
9use crate::error::OxirsResult;
10use crate::model::Triple;
11use scirs2_core::ndarray_ext::{Array1, Array2};
12use std::collections::HashMap;
13use std::f64::consts::PI;
14use std::sync::Arc;
15
16/// Quantum state representation for RDF terms
17#[derive(Debug, Clone)]
18pub struct QuantumState {
19    /// Amplitude vector in quantum superposition
20    pub amplitudes: Array1<f64>,
21    /// Phase information for quantum interference
22    pub phases: Array1<f64>,
23    /// Entanglement connections to other states
24    pub entangled_states: Vec<QuantumStateRef>,
25    /// Coherence time before decoherence
26    pub coherence_time: std::time::Duration,
27}
28
29/// Reference to a quantum state for entanglement
30pub type QuantumStateRef = Arc<QuantumState>;
31
32/// Quantum-inspired RDF triple with superposition capabilities
33#[derive(Debug, Clone)]
34pub struct QuantumTriple {
35    /// Classical RDF triple
36    pub classical_triple: Triple,
37    /// Quantum state representation
38    pub quantum_state: QuantumState,
39    /// Probability of existence in current measurement
40    pub existence_probability: f64,
41    /// Entangled triples for quantum correlations
42    pub entangled_triples: Vec<Arc<QuantumTriple>>,
43}
44
45/// Quantum graph processor for advanced RDF operations
46pub struct QuantumGraphProcessor {
47    /// Quantum state registry
48    states: HashMap<String, QuantumStateRef>,
49    /// Quantum gate operations
50    gates: QuantumGateSet,
51    /// Measurement strategy
52    measurement_strategy: MeasurementStrategy,
53    /// Decoherence handler
54    decoherence_handler: DecoherenceHandler,
55}
56
57/// Set of quantum gates for graph operations
58#[derive(Debug, Clone)]
59pub struct QuantumGateSet {
60    /// Hadamard gate for superposition creation
61    pub hadamard: Array2<f64>,
62    /// Pauli gates for state manipulation
63    pub pauli_x: Array2<f64>,
64    pub pauli_y: Array2<f64>,
65    pub pauli_z: Array2<f64>,
66    /// CNOT gate for entanglement
67    pub cnot: Array2<f64>,
68    /// Custom RDF gates
69    pub rdf_similarity: Array2<f64>,
70    pub rdf_hierarchy: Array2<f64>,
71}
72
73/// Strategy for quantum measurement
74#[derive(Debug, Clone)]
75pub enum MeasurementStrategy {
76    /// Collapse to most probable state
77    MaxProbability,
78    /// Weighted random measurement
79    WeightedRandom,
80    /// Partial measurement preserving superposition
81    Partial(f64),
82    /// Adaptive measurement based on query context
83    Adaptive,
84}
85
86/// Handler for quantum decoherence
87pub struct DecoherenceHandler {
88    /// Decoherence rate parameters
89    decoherence_rate: f64,
90    /// Error correction strategies
91    error_correction: QuantumErrorCorrection,
92    /// Coherence preservation techniques
93    coherence_preservation: CoherencePreservation,
94}
95
96/// Quantum error correction for data integrity
97pub struct QuantumErrorCorrection {
98    /// Syndrome calculation for error detection
99    syndrome_calculator: SyndromeCalculator,
100    /// Error detection algorithms
101    error_detector: ErrorDetector,
102    /// Correction strategies
103    correction_strategy: CorrectionStrategy,
104    /// Logical qubit mapping
105    logical_qubits: Vec<LogicalQubit>,
106}
107
108/// Syndrome calculator for error detection
109pub struct SyndromeCalculator {
110    /// Stabilizer generators
111    stabilizers: Vec<Array1<i8>>,
112    /// Measurement patterns
113    measurement_patterns: Vec<MeasurementPattern>,
114}
115
116/// Error detector implementation
117pub struct ErrorDetector {
118    /// Error detection thresholds
119    thresholds: HashMap<String, f64>,
120    /// Pattern matching for error identification
121    pattern_matcher: ErrorPatternMatcher,
122}
123
124/// Error correction strategy
125#[derive(Debug, Clone)]
126pub enum CorrectionStrategy {
127    /// Surface code correction
128    SurfaceCode,
129    /// Repetition code
130    RepetitionCode,
131    /// Shor code for comprehensive error correction
132    ShorCode,
133    /// Custom RDF-optimized correction
134    RdfOptimized,
135}
136
137/// Logical qubit representation
138pub struct LogicalQubit {
139    /// Physical qubits comprising the logical qubit
140    physical_qubits: Vec<usize>,
141    /// Error correction code
142    code: CorrectionStrategy,
143    /// State vector
144    state: QuantumState,
145}
146
147/// Measurement pattern for syndrome calculation
148pub struct MeasurementPattern {
149    /// Qubits to measure
150    qubits: Vec<usize>,
151    /// Measurement basis
152    basis: MeasurementBasis,
153    /// Expected outcomes
154    expected_outcomes: Vec<i8>,
155}
156
157/// Measurement basis for quantum measurements
158#[derive(Debug, Clone)]
159pub enum MeasurementBasis {
160    /// Computational basis (Z)
161    Computational,
162    /// Diagonal basis (X)
163    Diagonal,
164    /// Circular basis (Y)
165    Circular,
166    /// Custom basis for RDF operations
167    RdfBasis(Array2<f64>),
168}
169
170/// Error pattern matcher for quantum errors
171pub struct ErrorPatternMatcher {
172    /// Known error patterns
173    patterns: HashMap<Vec<i8>, ErrorType>,
174    /// Pattern recognition algorithms
175    recognition_algorithm: PatternRecognitionAlgorithm,
176}
177
178/// Types of quantum errors
179#[derive(Debug, Clone)]
180pub enum ErrorType {
181    /// Bit flip error
182    BitFlip,
183    /// Phase flip error
184    PhaseFlip,
185    /// Combined bit and phase flip
186    Combined,
187    /// Decoherence-induced error
188    Decoherence,
189    /// Custom RDF processing error
190    RdfProcessing(String),
191}
192
193/// Pattern recognition algorithms for error detection
194#[derive(Debug, Clone)]
195pub enum PatternRecognitionAlgorithm {
196    /// Simple pattern matching
197    Simple,
198    /// Machine learning-based recognition
199    MachineLearning,
200    /// Quantum-inspired pattern recognition
201    QuantumInspired,
202}
203
204/// Coherence preservation techniques
205pub struct CoherencePreservation {
206    /// Dynamical decoupling sequences
207    decoupling_sequences: Vec<DecouplingSequence>,
208    /// Optimal control protocols
209    control_protocols: Vec<ControlProtocol>,
210    /// Environmental isolation methods
211    isolation_methods: Vec<IsolationMethod>,
212}
213
214/// Dynamical decoupling sequence
215pub struct DecouplingSequence {
216    /// Pulse sequence
217    pulses: Vec<QuantumPulse>,
218    /// Timing intervals
219    intervals: Vec<f64>,
220    /// Effectiveness rating
221    effectiveness: f64,
222}
223
224/// Quantum pulse for control
225pub struct QuantumPulse {
226    /// Pulse amplitude
227    amplitude: f64,
228    /// Pulse phase
229    phase: f64,
230    /// Pulse duration
231    duration: f64,
232    /// Target qubits
233    targets: Vec<usize>,
234}
235
236/// Control protocol for coherence preservation
237pub struct ControlProtocol {
238    /// Protocol name
239    name: String,
240    /// Control parameters
241    parameters: HashMap<String, f64>,
242    /// Implementation function
243    implementation: fn(&QuantumState) -> OxirsResult<QuantumState>,
244}
245
246/// Environmental isolation method
247#[derive(Debug, Clone)]
248pub enum IsolationMethod {
249    /// Magnetic shielding
250    MagneticShielding(f64),
251    /// Temperature control
252    TemperatureControl(f64),
253    /// Vibration isolation
254    VibrationIsolation(f64),
255    /// Electromagnetic isolation
256    ElectromagneticIsolation(f64),
257}
258
259impl Default for QuantumGraphProcessor {
260    fn default() -> Self {
261        Self::new()
262    }
263}
264
265impl QuantumGraphProcessor {
266    /// Create a new quantum graph processor
267    pub fn new() -> Self {
268        Self {
269            states: HashMap::new(),
270            gates: QuantumGateSet::new(),
271            measurement_strategy: MeasurementStrategy::Adaptive,
272            decoherence_handler: DecoherenceHandler::new(),
273        }
274    }
275
276    /// Create quantum superposition of RDF triples
277    pub fn create_superposition(&mut self, triples: Vec<Triple>) -> OxirsResult<QuantumState> {
278        let n = triples.len();
279        let mut amplitudes = Array1::zeros(n);
280        let mut phases = Array1::zeros(n);
281
282        // Initialize uniform superposition
283        let amplitude = 1.0 / (n as f64).sqrt();
284        for i in 0..n {
285            amplitudes[i] = amplitude;
286            phases[i] = 0.0;
287        }
288
289        Ok(QuantumState {
290            amplitudes,
291            phases,
292            entangled_states: Vec::new(),
293            coherence_time: std::time::Duration::from_secs(1),
294        })
295    }
296
297    /// Apply quantum gate to state
298    pub fn apply_gate(
299        &self,
300        state: &QuantumState,
301        gate: &Array2<f64>,
302    ) -> OxirsResult<QuantumState> {
303        let mut new_amplitudes = Array1::zeros(state.amplitudes.len());
304
305        // Apply quantum gate transformation
306        for i in 0..state.amplitudes.len() {
307            for j in 0..state.amplitudes.len() {
308                new_amplitudes[i] += gate[[i, j]] * state.amplitudes[j];
309            }
310        }
311
312        Ok(QuantumState {
313            amplitudes: new_amplitudes,
314            phases: state.phases.clone(),
315            entangled_states: state.entangled_states.clone(),
316            coherence_time: state.coherence_time,
317        })
318    }
319
320    /// Measure quantum state
321    pub fn measure(&self, state: &QuantumState) -> OxirsResult<usize> {
322        match self.measurement_strategy {
323            MeasurementStrategy::MaxProbability => {
324                let probabilities = state.amplitudes.mapv(|a| a * a);
325                let max_idx = probabilities
326                    .iter()
327                    .enumerate()
328                    .max_by(|a, b| a.1.partial_cmp(b.1).unwrap_or(std::cmp::Ordering::Equal))
329                    .map(|(i, _)| i)
330                    .unwrap_or(0);
331                Ok(max_idx)
332            }
333            MeasurementStrategy::WeightedRandom => {
334                #[allow(unused_imports)]
335                use scirs2_core::random::{Random, Rng};
336                let mut random = Random::default();
337                let probabilities = state.amplitudes.mapv(|a| a * a);
338                let total: f64 = probabilities.sum();
339                let r: f64 = random.gen_range(0.0..total);
340
341                let mut cumulative = 0.0;
342                for (i, &prob) in probabilities.iter().enumerate() {
343                    cumulative += prob;
344                    if r <= cumulative {
345                        return Ok(i);
346                    }
347                }
348                Ok(0)
349            }
350            _ => Ok(0), // Simplified for other strategies
351        }
352    }
353
354    /// Create entanglement between quantum states
355    pub fn entangle(&mut self, state1_id: &str, state2_id: &str) -> OxirsResult<()> {
356        if let (Some(_state1), Some(_state2)) =
357            (self.states.get(state1_id), self.states.get(state2_id))
358        {
359            // Create entanglement - simplified implementation
360            // In a full implementation, this would involve tensor products
361            // and Bell state creation
362            Ok(())
363        } else {
364            Err(crate::error::OxirsError::QuantumError(
365                "States not found for entanglement".to_string(),
366            ))
367        }
368    }
369
370    /// Quantum interference for query optimization
371    pub fn quantum_interference(&self, states: Vec<&QuantumState>) -> OxirsResult<QuantumState> {
372        if states.is_empty() {
373            return Err(crate::error::OxirsError::QuantumError(
374                "No states for interference".to_string(),
375            ));
376        }
377
378        let n = states[0].amplitudes.len();
379        let mut result_amplitudes = Array1::zeros(n);
380        let mut result_phases = Array1::zeros(n);
381
382        // Quantum interference calculation
383        for state in states {
384            for i in 0..n {
385                let amplitude = state.amplitudes[i];
386                let phase = state.phases[i];
387                result_amplitudes[i] += amplitude * phase.cos();
388                result_phases[i] += amplitude * phase.sin();
389            }
390        }
391
392        // Normalize
393        let norm = result_amplitudes.mapv(|a: f64| a * a).sum().sqrt();
394        if norm > 0.0 {
395            result_amplitudes.mapv_inplace(|a| a / norm);
396        }
397
398        Ok(QuantumState {
399            amplitudes: result_amplitudes,
400            phases: result_phases,
401            entangled_states: Vec::new(),
402            coherence_time: std::time::Duration::from_secs(1),
403        })
404    }
405}
406
407impl Default for QuantumGateSet {
408    fn default() -> Self {
409        Self::new()
410    }
411}
412
413impl QuantumGateSet {
414    /// Create standard quantum gate set
415    pub fn new() -> Self {
416        // Hadamard gate
417        let hadamard = Array2::from_shape_vec(
418            (2, 2),
419            vec![
420                1.0 / 2.0_f64.sqrt(),
421                1.0 / 2.0_f64.sqrt(),
422                1.0 / 2.0_f64.sqrt(),
423                -1.0 / 2.0_f64.sqrt(),
424            ],
425        )
426        .expect("Hadamard gate shape and vector length match");
427
428        // Pauli gates
429        let pauli_x = Array2::from_shape_vec((2, 2), vec![0.0, 1.0, 1.0, 0.0])
430            .expect("Pauli X gate shape and vector length match");
431        let pauli_y = Array2::from_shape_vec((2, 2), vec![0.0, -1.0, 1.0, 0.0])
432            .expect("Pauli Y gate shape and vector length match");
433        let pauli_z = Array2::from_shape_vec((2, 2), vec![1.0, 0.0, 0.0, -1.0])
434            .expect("Pauli Z gate shape and vector length match");
435
436        // CNOT gate (simplified 2x2 representation)
437        let cnot = Array2::from_shape_vec((2, 2), vec![1.0, 0.0, 0.0, 1.0])
438            .expect("CNOT gate shape and vector length match");
439
440        // Custom RDF gates
441        let rdf_similarity = Array2::from_shape_vec((2, 2), vec![0.8, 0.6, 0.6, 0.8])
442            .expect("RDF similarity gate shape and vector length match");
443
444        let rdf_hierarchy = Array2::from_shape_vec((2, 2), vec![1.0, 0.5, 0.0, 1.0])
445            .expect("RDF hierarchy gate shape and vector length match");
446
447        Self {
448            hadamard,
449            pauli_x,
450            pauli_y,
451            pauli_z,
452            cnot,
453            rdf_similarity,
454            rdf_hierarchy,
455        }
456    }
457}
458
459impl Default for DecoherenceHandler {
460    fn default() -> Self {
461        Self::new()
462    }
463}
464
465impl DecoherenceHandler {
466    /// Create new decoherence handler
467    pub fn new() -> Self {
468        Self {
469            decoherence_rate: 0.01,
470            error_correction: QuantumErrorCorrection::new(),
471            coherence_preservation: CoherencePreservation::new(),
472        }
473    }
474
475    /// Handle decoherence in quantum state
476    pub fn handle_decoherence(
477        &self,
478        state: &QuantumState,
479        elapsed: std::time::Duration,
480    ) -> OxirsResult<QuantumState> {
481        let decoherence_factor = (-self.decoherence_rate * elapsed.as_secs_f64()).exp();
482
483        let mut new_amplitudes = state.amplitudes.clone();
484        new_amplitudes.mapv_inplace(|a| a * decoherence_factor);
485
486        Ok(QuantumState {
487            amplitudes: new_amplitudes,
488            phases: state.phases.clone(),
489            entangled_states: state.entangled_states.clone(),
490            coherence_time: state.coherence_time,
491        })
492    }
493}
494
495impl Default for QuantumErrorCorrection {
496    fn default() -> Self {
497        Self::new()
498    }
499}
500
501impl QuantumErrorCorrection {
502    /// Create new quantum error correction system
503    pub fn new() -> Self {
504        Self {
505            syndrome_calculator: SyndromeCalculator::new(),
506            error_detector: ErrorDetector::new(),
507            correction_strategy: CorrectionStrategy::SurfaceCode,
508            logical_qubits: Vec::new(),
509        }
510    }
511
512    /// Detect and correct quantum errors
513    pub fn detect_and_correct(&self, state: &QuantumState) -> OxirsResult<QuantumState> {
514        // Simplified error correction - in practice this would be much more complex
515        let mut corrected_state = state.clone();
516
517        // Apply error detection
518        let syndrome = self.syndrome_calculator.calculate_syndrome(state)?;
519
520        // Detect error type
521        if let Some(error_type) = self.error_detector.detect_error(&syndrome)? {
522            // Apply correction based on error type
523            corrected_state = self.apply_correction(corrected_state, error_type)?;
524        }
525
526        Ok(corrected_state)
527    }
528
529    /// Apply correction for detected error
530    fn apply_correction(
531        &self,
532        mut state: QuantumState,
533        error_type: ErrorType,
534    ) -> OxirsResult<QuantumState> {
535        match error_type {
536            ErrorType::BitFlip => {
537                // Apply bit flip correction
538                state.amplitudes.mapv_inplace(|a| -a);
539            }
540            ErrorType::PhaseFlip => {
541                // Apply phase flip correction
542                state.phases.mapv_inplace(|p| p + PI);
543            }
544            ErrorType::Combined => {
545                // Apply combined correction
546                state.amplitudes.mapv_inplace(|a| -a);
547                state.phases.mapv_inplace(|p| p + PI);
548            }
549            ErrorType::Decoherence => {
550                // Apply decoherence correction (re-normalization)
551                let norm = state.amplitudes.mapv(|a| a * a).sum().sqrt();
552                if norm > 0.0 {
553                    state.amplitudes.mapv_inplace(|a| a / norm);
554                }
555            }
556            ErrorType::RdfProcessing(_) => {
557                // Custom RDF processing error correction
558                // Implementation would depend on specific error
559            }
560        }
561        Ok(state)
562    }
563}
564
565impl Default for SyndromeCalculator {
566    fn default() -> Self {
567        Self::new()
568    }
569}
570
571impl SyndromeCalculator {
572    /// Create new syndrome calculator
573    pub fn new() -> Self {
574        Self {
575            stabilizers: Vec::new(),
576            measurement_patterns: Vec::new(),
577        }
578    }
579
580    /// Calculate syndrome for error detection
581    pub fn calculate_syndrome(&self, state: &QuantumState) -> OxirsResult<Vec<i8>> {
582        let mut syndrome = Vec::new();
583
584        // Simplified syndrome calculation
585        for stabilizer in &self.stabilizers {
586            let measurement = self.measure_stabilizer(state, stabilizer)?;
587            syndrome.push(measurement);
588        }
589
590        Ok(syndrome)
591    }
592
593    /// Measure stabilizer generator
594    fn measure_stabilizer(&self, state: &QuantumState, stabilizer: &Array1<i8>) -> OxirsResult<i8> {
595        // Simplified stabilizer measurement
596        let mut result = 0.0;
597        for (i, &coeff) in stabilizer.iter().enumerate() {
598            if i < state.amplitudes.len() {
599                result += coeff as f64 * state.amplitudes[i] * state.amplitudes[i];
600            }
601        }
602        Ok(if result > 0.5 { 1 } else { 0 })
603    }
604}
605
606impl Default for ErrorDetector {
607    fn default() -> Self {
608        Self::new()
609    }
610}
611
612impl ErrorDetector {
613    /// Create new error detector
614    pub fn new() -> Self {
615        Self {
616            thresholds: HashMap::new(),
617            pattern_matcher: ErrorPatternMatcher::new(),
618        }
619    }
620
621    /// Detect error from syndrome
622    pub fn detect_error(&self, syndrome: &[i8]) -> OxirsResult<Option<ErrorType>> {
623        self.pattern_matcher.match_pattern(syndrome)
624    }
625}
626
627impl Default for ErrorPatternMatcher {
628    fn default() -> Self {
629        Self::new()
630    }
631}
632
633impl ErrorPatternMatcher {
634    /// Create new error pattern matcher
635    pub fn new() -> Self {
636        let mut patterns = HashMap::new();
637
638        // Define known error patterns
639        patterns.insert(vec![1, 0, 0], ErrorType::BitFlip);
640        patterns.insert(vec![0, 1, 0], ErrorType::PhaseFlip);
641        patterns.insert(vec![1, 1, 0], ErrorType::Combined);
642        patterns.insert(vec![0, 0, 1], ErrorType::Decoherence);
643
644        Self {
645            patterns,
646            recognition_algorithm: PatternRecognitionAlgorithm::Simple,
647        }
648    }
649
650    /// Match error pattern
651    pub fn match_pattern(&self, syndrome: &[i8]) -> OxirsResult<Option<ErrorType>> {
652        if let Some(error_type) = self.patterns.get(syndrome) {
653            Ok(Some(error_type.clone()))
654        } else {
655            Ok(None)
656        }
657    }
658}
659
660impl Default for CoherencePreservation {
661    fn default() -> Self {
662        Self::new()
663    }
664}
665
666impl CoherencePreservation {
667    /// Create new coherence preservation system
668    pub fn new() -> Self {
669        Self {
670            decoupling_sequences: Vec::new(),
671            control_protocols: Vec::new(),
672            isolation_methods: Vec::new(),
673        }
674    }
675
676    /// Apply coherence preservation techniques
677    pub fn preserve_coherence(&self, state: &QuantumState) -> OxirsResult<QuantumState> {
678        let mut preserved_state = state.clone();
679
680        // Apply dynamical decoupling
681        for sequence in &self.decoupling_sequences {
682            preserved_state = sequence.apply(&preserved_state)?;
683        }
684
685        // Apply control protocols
686        for protocol in &self.control_protocols {
687            preserved_state = (protocol.implementation)(&preserved_state)?;
688        }
689
690        Ok(preserved_state)
691    }
692}
693
694impl DecouplingSequence {
695    /// Apply decoupling sequence to state
696    pub fn apply(&self, state: &QuantumState) -> OxirsResult<QuantumState> {
697        let mut evolved_state = state.clone();
698
699        // Apply pulse sequence
700        for pulse in &self.pulses {
701            evolved_state = pulse.apply(&evolved_state)?;
702        }
703
704        Ok(evolved_state)
705    }
706}
707
708impl QuantumPulse {
709    /// Apply quantum pulse to state
710    pub fn apply(&self, state: &QuantumState) -> OxirsResult<QuantumState> {
711        let mut pulsed_state = state.clone();
712
713        // Apply pulse transformation (simplified)
714        for &target in &self.targets {
715            if target < pulsed_state.amplitudes.len() {
716                pulsed_state.amplitudes[target] *= self.amplitude;
717                pulsed_state.phases[target] += self.phase;
718            }
719        }
720
721        Ok(pulsed_state)
722    }
723}
724
725#[cfg(test)]
726mod tests {
727    use super::*;
728    use crate::NamedNode;
729
730    #[test]
731    fn test_quantum_processor_creation() {
732        let processor = QuantumGraphProcessor::new();
733        assert_eq!(processor.states.len(), 0);
734    }
735
736    #[test]
737    fn test_superposition_creation() {
738        let mut processor = QuantumGraphProcessor::new();
739        let triples = vec![Triple::new(
740            NamedNode::new("http://example.org/s1").expect("valid IRI"),
741            NamedNode::new("http://example.org/p1").expect("valid IRI"),
742            NamedNode::new("http://example.org/o1").expect("valid IRI"),
743        )];
744
745        let result = processor.create_superposition(triples);
746        assert!(result.is_ok());
747    }
748
749    #[test]
750    fn test_quantum_gate_application() {
751        let processor = QuantumGraphProcessor::new();
752        let state = QuantumState {
753            amplitudes: Array1::from_vec(vec![1.0, 0.0]),
754            phases: Array1::from_vec(vec![0.0, 0.0]),
755            entangled_states: Vec::new(),
756            coherence_time: std::time::Duration::from_secs(1),
757        };
758
759        let result = processor.apply_gate(&state, &processor.gates.hadamard);
760        assert!(result.is_ok());
761    }
762
763    #[test]
764    fn test_measurement() {
765        let processor = QuantumGraphProcessor::new();
766        let state = QuantumState {
767            amplitudes: Array1::from_vec(vec![0.7, 0.3]),
768            phases: Array1::from_vec(vec![0.0, 0.0]),
769            entangled_states: Vec::new(),
770            coherence_time: std::time::Duration::from_secs(1),
771        };
772
773        let result = processor.measure(&state);
774        assert!(result.is_ok());
775    }
776
777    #[test]
778    fn test_quantum_error_correction() {
779        let qec = QuantumErrorCorrection::new();
780        let state = QuantumState {
781            amplitudes: Array1::from_vec(vec![0.6, 0.8]),
782            phases: Array1::from_vec(vec![0.0, 0.0]),
783            entangled_states: Vec::new(),
784            coherence_time: std::time::Duration::from_secs(1),
785        };
786
787        let result = qec.detect_and_correct(&state);
788        assert!(result.is_ok());
789    }
790}