--- a +++ b/src/utils/pipelines/simulationPipeline.ts @@ -0,0 +1,61 @@ +import { ExperimentConfig } from '../../types'; + +export interface QuantumSimulationResult { + id: string; + experimentId: string; + timestamp: string; + quantumMetrics: { + coherenceTime: number; + gateErrors: number; + quantumVolume: number; + circuitDepth: number; + }; + optimizationMetrics: { + convergenceRate: number; + energyLandscape: number[]; + quantumSpeedup: number; + }; + results: { + timepoint: number; + predictions: { + trait: string; + value: number; + uncertainty: number; + }[]; + }[]; +} + +export class QuantumSimulationPipeline { + static async runSimulation(experiment: ExperimentConfig): Promise<QuantumSimulationResult> { + // Simulate quantum processing time + await new Promise(resolve => setTimeout(resolve, 3000)); + + const timepoints = Array.from({ length: 5 }, (_, i) => i * 24); // 0h, 24h, 48h, 72h, 96h + const traits = ['growth_rate', 'stress_tolerance', 'nutrient_efficiency']; + + return { + id: Math.random().toString(36).substr(2, 9), + experimentId: experiment.id, + timestamp: new Date().toISOString(), + quantumMetrics: { + coherenceTime: Math.random() * 50 + 50, // 50-100 microseconds + gateErrors: Math.random() * 0.01, // 0-1% error rate + quantumVolume: Math.floor(Math.random() * 512) + 512, // 512-1024 + circuitDepth: Math.floor(Math.random() * 100) + 100 // 100-200 gates + }, + optimizationMetrics: { + convergenceRate: Math.random() * 0.3 + 0.7, // 70-100% convergence + energyLandscape: Array(10).fill(0).map(() => Math.random() * -10), // Energy values + quantumSpeedup: Math.random() * 50 + 50 // 50-100x classical speedup + }, + results: timepoints.map(timepoint => ({ + timepoint, + predictions: traits.map(trait => ({ + trait, + value: Math.random() * 0.5 + 0.5, // 0.5-1.0 normalized values + uncertainty: Math.random() * 0.1 // 0-10% uncertainty + })) + })) + }; + } +}