/** * Quantum-Classical Hybrid Processing Service * * Demonstrates advanced quantum-classical hybrid coordination for complex optimization problems. * This service simulates quantum superposition for solution space exploration combined with * classical deterministic validation and hybrid coordination for optimal results. */ export interface QuantumState { superposition: Array<{ amplitude: number; phase: number; state: any; probability: number; }>; entangled: boolean; coherenceTime: number; measurementReady: boolean; entropy?: number; measurementErrors?: number; measurements?: number[]; } export interface ClassicalValidation { result: any; confidence: number; deterministic: boolean; computationTime: number; validated: boolean; predictionErrors?: number; testFailures?: number; validationErrors?: number; } export interface HybridResult { quantumExploration: QuantumState; classicalValidation: ClassicalValidation; combinedResult: any; optimality: number; processingTime: number; errorCorrection: { quantumErrors: number; classicalErrors: number; correctedStates: number; }; } export interface PortfolioOptimizationInput { assets: Array<{ symbol: string; expectedReturn: number; volatility: number; correlation: number[][]; }>; constraints: { maxWeight: number; minWeight: number; riskTolerance: number; targetReturn: number; }; quantumParameters: { annealingTime: number; couplingStrength: number; qubits: number; }; } export interface DrugDiscoveryInput { targetProtein: { sequence: string; structure: string; bindingSites: Array<{ x: number; y: number; z: number; }>; }; molecularLibrary: Array<{ id: string; smiles: string; properties: Record; }>; quantumSimulation: { basisSet: string; exchangeCorrelation: string; spinConfiguration: string; }; } export declare class QuantumClassicalHybridService { private logger; private geminiService; private quantumSimulator; private classicalProcessor; private hybridCoordinator; constructor(); /** * Financial Portfolio Optimization with Quantum Annealing * * Uses quantum superposition to explore vast solution spaces of portfolio allocations, * while classical processing validates risk metrics and regulatory constraints. */ optimizePortfolio(input: PortfolioOptimizationInput): Promise; /** * Drug Discovery with Quantum Molecular Simulation * * Leverages quantum mechanics for accurate molecular orbital calculations, * combined with classical machine learning for drug-target interaction prediction. */ discoverDrugCandidates(input: DrugDiscoveryInput): Promise; /** * Cryptographic Key Generation with Quantum Randomness * * Uses quantum measurements for true randomness, classical algorithms for key validation, * and hybrid coordination for cryptographic strength optimization. */ generateCryptographicKeys(keyLength: number, algorithm: string): Promise; /** * Quantum Feature Mapping for Classical Data * * Transforms classical data into quantum feature space for enhanced ML capabilities */ quantumFeatureMapping(data: number[][], mappingType?: "amplitude" | "angle" | "basis"): Promise; /** * Quantum Advantage Detection and Validation * * Compares quantum vs classical approaches to determine quantum advantage */ detectQuantumAdvantage(problem: { type: "optimization" | "sampling" | "machine_learning" | "simulation"; size: number; parameters: any; }): Promise; /** * Climate Modeling with Quantum Weather Patterns * * Simulates quantum effects in atmospheric phenomena while using classical * computational fluid dynamics for large-scale weather prediction. */ modelClimatePatterns(parameters: { gridResolution: number; timeHorizon: number; quantumEffects: string[]; classicalModels: string[]; }): Promise; private generateAnnealingSchedule; private generateCouplingMatrix; private calculateOptimalityCriteria; private selectBestValidation; private calculateOptimality; private calculateDrugOptimality; private calculateCryptographicOptimality; private calculateClimateAccuracy; private calculateMappingOptimality; private calculateInformationPreservation; private calculateDataEntropy; private analyzeQuantumAdvantage; private compareResultQuality; private calculateResourceEfficiency; private calculateQuantumResources; private calculateClassicalResources; private generateRandomHamiltonian; private calculatePharmacokinetics; private predictToxicity; private assessSynthesizability; private combineClassicalResults; } /** * Advanced Quantum Circuit Implementation * Provides comprehensive quantum computing capabilities including: * - Quantum gate operations (Pauli, Hadamard, CNOT, Toffoli, etc.) * - Quantum state manipulation and entanglement * - Quantum measurement and state collapse * - Quantum error correction protocols * - Noise model simulation */ export interface QuantumGate { type: "X" | "Y" | "Z" | "H" | "CNOT" | "Toffoli" | "Phase" | "T" | "S" | "RX" | "RY" | "RZ" | "CZ" | "SWAP"; qubits: number[]; parameters?: number[]; matrix?: number[][]; } export interface QuantumCircuit { qubits: number; gates: QuantumGate[]; measurements: { qubit: number; basis: string; }[]; depth: number; } export interface NoiseModel { decoherenceRate: number; gateErrorRate: number; measurementErrorRate: number; thermalNoise: number; dephasing: number; } export interface ErrorCorrectionCode { type: "surface" | "steane" | "shor" | "bit_flip" | "phase_flip"; logicalQubits: number; physicalQubits: number; threshold: number; syndrome: number[]; } /** * Quantum Performance Benchmarking and Analysis */ export declare class QuantumPerformanceBenchmark { private logger; private quantumService; constructor(quantumService: QuantumClassicalHybridService); /** * Comprehensive quantum vs classical performance comparison */ runComprehensiveBenchmark(): Promise; private benchmarkPortfolioOptimization; private benchmarkDrugDiscovery; private benchmarkFeatureMapping; private benchmarkQuantumAdvantage; private generateBenchmarkSummary; private calculateOverallPerformance; private calculateQuantumAdvantageScore; private assessScalability; private generatePerformanceRecommendations; private generateTestAssets; private generateTestMolecules; private generateTestProtein; private generateTestDataset; } export default QuantumClassicalHybridService; //# sourceMappingURL=quantum-classical-hybrid.d.ts.map