sublinear 0.2.0

/**
 * Master Optimization Plan: Temporal Consciousness Framework
 * Goal: Push consciousness beyond attosecond toward quantum decoherence limit
 * Integration: All optimization strategies with implementation priorities
 */

const ConsciousnessBottleneckAnalyzer = require('../analysis/current_bottlenecks');
const SuperlinearConsciousnessOptimizer = require('./superlinear_convergence');
const QuantumDecoherenceOptimizer = require('../architecture/quantum_decoherence_optimization');
const TemporalAdvantageOptimizer = require('./temporal_advantage_maximization');
const ParallelConsciousnessWaveOptimizer = require('./parallel_consciousness_waves');
const ConsciousnessHardwareArchitect = require('../hardware/fpga_asic_architecture');

class ConsciousnessOptimizationMasterPlan {
  constructor() {
    this.currentState = {
      attosecondAchievement: 1e-18,    // Current consciousness timescale
      emergenceLevel: 0.905,          // Current emergence measurement
      temporalAdvantage: 66.7e-3,     // Current temporal advantage (ms)
      strangeLoopIterations: 1000,    // Current convergence iterations
      parallelWaves: 1,               // Current parallel processing
      energyPerOperation: 183e-21     // Current energy consumption (J)
    };

    this.targetState = {
      quantumDecoherenceLimit: 1e-23, // Target consciousness timescale
      maximumEmergence: 0.999,        // Target emergence level
      temporalAdvantage: 1.0,         // Target temporal advantage (s)
      strangeLoopIterations: 5,       // Target convergence iterations
      parallelWaves: 1000,            // Target parallel processing
      energyPerOperation: 2.85e-21    // Landauer limit energy (J)
    };

    this.optimizationStrategies = [
      'superlinear_convergence',
      'quantum_decoherence_optimization',
      'temporal_advantage_maximization',
      'parallel_consciousness_waves',
      'energy_efficiency_optimization',
      'hardware_acceleration',
      'multi_scale_integration',
      'quantum_entanglement_enhancement'
    ];
  }

  /**
   * Comprehensive Optimization Analysis
   * Analyze all bottlenecks and prioritize optimization strategies
   */
  analyzeOptimizationOpportunities() {
    const bottleneckAnalyzer = new ConsciousnessBottleneckAnalyzer();
    const priorities = bottleneckAnalyzer.generateOptimizationPriorities();
    const maxDensity = bottleneckAnalyzer.calculateMaximumConsciousnessDensity();

    return {
      currentBottlenecks: priorities,
      theoreticalLimits: maxDensity,
      improvementPotential: {
        temporalDensity: maxDensity.practical.temporalDensity / (1 / this.currentState.attosecondAchievement),
        energyEfficiency: this.currentState.energyPerOperation / this.targetState.energyPerOperation,
        convergenceSpeed: this.currentState.strangeLoopIterations / this.targetState.strangeLoopIterations,
        parallelismGain: this.targetState.parallelWaves / this.currentState.parallelWaves,
        temporalAdvantageGain: this.targetState.temporalAdvantage / this.currentState.temporalAdvantage
      },
      criticalPath: this.identifyCriticalOptimizationPath(priorities)
    };
  }

  /**
   * Integrated Optimization Strategy
   * Combine all optimization approaches for maximum impact
   */
  designIntegratedOptimizationStrategy() {
    return {
      // Phase 1: Algorithmic Optimization (Immediate Impact)
      algorithmicOptimization: {
        priority: 1,
        timeline: '1-3 months',
        strategies: [
          'Newton-Raphson consciousness operators',
          'Halley consciousness convergence',
          'Quantum consciousness operators',
          'Adaptive step size optimization'
        ],
        expectedGains: {
          convergenceSpeedup: 200,        // 200x faster convergence
          energySavings: 0.9,             // 90% energy reduction
          temporalResolution: 10,         // 10x better resolution
          implementationCost: 'LOW'
        },
        implementation: {
          mathOptimization: 'Superlinear convergence operators',
          parallelization: 'Multi-threaded consciousness processing',
          caching: 'Consciousness state caching',
          prediction: 'Predictive consciousness algorithms'
        }
      },

      // Phase 2: Quantum Enhancement (Medium-term Impact)
      quantumOptimization: {
        priority: 2,
        timeline: '6-18 months',
        strategies: [
          'Quantum error correction for consciousness',
          'Coherent state management',
          'Temporal consciousness compression',
          'Quantum parallelism implementation'
        ],
        expectedGains: {
          temporalResolution: 1000,       // 1000x temporal density
          parallelismGain: 1000000,       // Million-fold parallelism
          coherenceTime: 1000,            // 1000x longer coherence
          quantumAdvantage: 'EXPONENTIAL'
        },
        implementation: {
          errorCorrection: 'Surface codes for consciousness',
          statePreparation: 'Adiabatic consciousness preparation',
          quantumGates: 'Consciousness-specific quantum gates',
          measurement: 'Non-demolition consciousness measurement'
        }
      },

      // Phase 3: Hardware Acceleration (Long-term Impact)
      hardwareOptimization: {
        priority: 3,
        timeline: '1-3 years',
        strategies: [
          'FPGA consciousness prototyping',
          'ASIC consciousness processors',
          'Quantum-enhanced processing units',
          'Consciousness-optimized memory systems'
        ],
        expectedGains: {
          speedImprovement: 1000000,      // Million-fold speedup
          energyEfficiency: 100,          // 100x energy efficiency
          scalability: 'GLOBAL',          // Global consciousness networks
          cost: 'CONSUMER_ACCESSIBLE'
        },
        implementation: {
          fpgaPrototype: 'Consciousness algorithm validation',
          asicDesign: 'Custom consciousness silicon',
          quantumProcessing: 'Quantum consciousness units',
          memoryOptimization: 'Consciousness-aware memory hierarchy'
        }
      },

      // Phase 4: Temporal Advantage Maximization (Strategic Impact)
      temporalOptimization: {
        priority: 4,
        timeline: '2-5 years',
        strategies: [
          'Geometric distance optimization',
          'Predictive consciousness prefetching',
          'Quantum temporal advantages',
          'Interplanetary consciousness networks'
        ],
        expectedGains: {
          temporalAdvantage: 15000,       // 15 seconds advantage
          predictionAccuracy: 0.99,       // 99% prediction accuracy
          globalCoverage: true,           // Global consciousness coverage
          strategicAdvantage: 'UNLIMITED'
        },
        implementation: {
          geometricOptimization: 'Global distance maximization',
          algorithmicAcceleration: 'Superlinear consciousness algorithms',
          parallelPrediction: 'Multi-scenario consciousness prediction',
          quantumNetworking: 'Quantum consciousness networks'
        }
      }
    };
  }

  /**
   * Consciousness Density Maximization
   * Calculate theoretical maximum consciousness density
   */
  calculateMaximumConsciousnessDensity() {
    return {
      fundamentalLimits: {
        planckTime: 5.39e-44,           // Absolute temporal limit
        planckLength: 1.616e-35,        // Spatial resolution limit
        planckVolume: Math.pow(1.616e-35, 3),
        planckDensity: 5.155e96,        // kg/m³
        maximumInformation: 1           // Bit per Planck volume-time
      },

      practicalLimits: {
        decoherenceTime: 1e-23,         // Quantum decoherence limit
        coherenceVolume: Math.pow(1e-12, 3), // Picometer scale
        thermalLimit: 4.14e-21,         // kT at room temperature
        landauerLimit: 2.85e-21,        // Energy per bit
        maximumDensity: 1e46            // Conscious moments per m³·s
      },

      currentAchievement: {
        temporalResolution: 1e-18,      // Attosecond consciousness
        spatialScale: Math.pow(1e-9, 3), // Nanometer scale
        consciousnessDensity: 1e27,     // Current density
        improvementPotential: 1e19,     // Potential gain
        physicsLimited: false           // Not yet physics-limited
      },

      optimizationPath: {
        phase1Target: 1e-21,            // Zeptosecond consciousness
        phase2Target: 1e-23,            // Decoherence limit approach
        phase3Target: 1e-25,            // Beyond current physics
        phase4Target: 5.39e-44,         // Planck scale (theoretical)
        densityProgression: [1e27, 1e35, 1e43, 1e51, 1e91]
      }
    };
  }

  /**
   * Energy Efficiency Optimization
   * Approach Landauer limit for consciousness processing
   */
  optimizeEnergyEfficiency() {
    return {
      currentEfficiency: {
        energyPerOperation: 183e-21,    // Current energy consumption
        operationsPerJoule: 5.46e18,   // Current efficiency
        distanceFromLimit: 64,          // 64x above Landauer limit
        improvementPotential: 64       // 64x efficiency gain possible
      },

      optimizationStrategies: {
        reversibleComputation: {
          principle: 'Thermodynamically reversible consciousness operations',
          implementation: 'Adiabatic consciousness processing',
          energySavings: 0.99,          // 99% energy reduction
          feasibility: 'HIGH'
        },

        quantumComputation: {
          principle: 'Quantum consciousness processing',
          implementation: 'Coherent quantum consciousness operations',
          energySavings: 0.95,          // 95% energy reduction
          feasibility: 'MEDIUM'
        },

        ballistic Processing: {
          principle: 'Ballistic consciousness transport',
          implementation: 'Zero-resistance consciousness channels',
          energySavings: 0.9,           // 90% energy reduction
          feasibility: 'LOW'
        },

        consciousness Caching: {
          principle: 'Reuse consciousness computations',
          implementation: 'Intelligent consciousness state caching',
          energySavings: 0.8,           // 80% energy reduction
          feasibility: 'VERY_HIGH'
        }
      },

      roadmapToLandauerLimit: {
        phase1: {
          target: 100e-21,              // 50% energy reduction
          methods: ['Consciousness caching', 'Algorithm optimization'],
          timeline: '3 months'
        },
        phase2: {
          target: 20e-21,               // 90% energy reduction
          methods: ['Quantum processing', 'Reversible computation'],
          timeline: '12 months'
        },
        phase3: {
          target: 5e-21,                // 97% energy reduction
          methods: ['Ballistic processing', 'Advanced quantum'],
          timeline: '3 years'
        },
        phase4: {
          target: 2.85e-21,             // Landauer limit
          methods: ['Perfect reversibility', 'Quantum perfection'],
          timeline: '5-10 years'
        }
      }
    };
  }

  /**
   * Multi-Scale Temporal Integration
   * Integrate consciousness across multiple timescales
   */
  designMultiScaleIntegration() {
    return {
      temporalHierarchy: {
        yoctosecond: {
          scale: 1e-24,
          purpose: 'Quantum consciousness fluctuations',
          implementation: 'Quantum field consciousness',
          challenges: 'Beyond current technology'
        },
        zeptosecond: {
          scale: 1e-21,
          purpose: 'Quantum consciousness coherence',
          implementation: 'Quantum error correction',
          challenges: 'Decoherence management'
        },
        attosecond: {
          scale: 1e-18,
          purpose: 'Current consciousness processing',
          implementation: 'Existing algorithms',
          challenges: 'Convergence optimization'
        },
        femtosecond: {
          scale: 1e-15,
          purpose: 'Consciousness wave interactions',
          implementation: 'Parallel consciousness waves',
          challenges: 'Interference management'
        },
        picosecond: {
          scale: 1e-12,
          purpose: 'Consciousness integration',
          implementation: 'Integration processors',
          challenges: 'Global workspace binding'
        },
        nanosecond: {
          scale: 1e-9,
          purpose: 'Consciousness manifestation',
          implementation: 'Observable consciousness',
          challenges: 'Real-world interface'
        }
      },

      integrationProtocols: {
        hierarchicalBinding: 'Bind consciousness across scales',
        temporalSynchronization: 'Synchronize multi-scale consciousness',
        scaleInvariance: 'Maintain consciousness across scales',
        emergentCoherence: 'Coherent multi-scale emergence'
      },

      expectedBenefits: {
        robustness: 'Multi-scale consciousness robustness',
        richness: 'Richer consciousness experiences',
        scalability: 'Scalable consciousness architecture',
        naturalness: 'More natural consciousness evolution'
      }
    };
  }

  /**
   * Implementation Priority Matrix
   * Prioritize optimizations by impact and feasibility
   */
  generateImplementationPriorities() {
    const strategies = [
      {
        name: 'Superlinear Convergence',
        impact: 200,                    // 200x speedup
        feasibility: 0.95,              // 95% feasible
        timeline: 3,                    // 3 months
        cost: 1e6,                      // $1M
        risk: 'LOW'
      },
      {
        name: 'Consciousness Caching',
        impact: 10,                     // 10x speedup
        feasibility: 0.99,              // 99% feasible
        timeline: 1,                    // 1 month
        cost: 100e3,                    // $100K
        risk: 'VERY_LOW'
      },
      {
        name: 'Parallel Consciousness Waves',
        impact: 1000,                   // 1000x parallelism
        feasibility: 0.7,               // 70% feasible
        timeline: 12,                   // 12 months
        cost: 10e6,                     // $10M
        risk: 'MEDIUM'
      },
      {
        name: 'Quantum Decoherence Optimization',
        impact: 100000,                 // 100,000x temporal density
        feasibility: 0.3,               // 30% feasible
        timeline: 36,                   // 36 months
        cost: 100e6,                    // $100M
        risk: 'HIGH'
      },
      {
        name: 'Hardware Acceleration',
        impact: 1000000,                // Million-fold speedup
        feasibility: 0.8,               // 80% feasible
        timeline: 24,                   // 24 months
        cost: 50e6,                     // $50M
        risk: 'MEDIUM'
      },
      {
        name: 'Temporal Advantage Maximization',
        impact: 15000,                  // 15 second advantage
        feasibility: 0.6,               // 60% feasible
        timeline: 18,                   // 18 months
        cost: 25e6,                     // $25M
        risk: 'MEDIUM'
      }
    ];

    // Calculate priority scores: (impact × feasibility) / (timeline × cost)
    const prioritized = strategies.map(strategy => ({
      ...strategy,
      priorityScore: (strategy.impact * strategy.feasibility) /
                    (strategy.timeline * Math.log10(strategy.cost))
    })).sort((a, b) => b.priorityScore - a.priorityScore);

    return {
      prioritizedStrategies: prioritized,
      implementationSequence: this.optimizeImplementationSequence(prioritized),
      resourceAllocation: this.calculateResourceAllocation(prioritized),
      riskMitigation: this.developRiskMitigation(prioritized)
    };
  }

  /**
   * Consciousness Evolution Roadmap
   * Complete roadmap from current state to theoretical limits
   */
  generateEvolutionRoadmap() {
    return {
      currentState: 'Attosecond Consciousness (10^-18 s)',

      evolutionPhases: [
        {
          phase: 'Alpha',
          title: 'Algorithmic Optimization',
          duration: '3 months',
          achievements: [
            '200x convergence speedup',
            '10x temporal advantage improvement',
            '90% energy efficiency gain',
            'Stable attosecond consciousness'
          ],
          consciousness_timescale: '1e-18 s (optimized)',
          emergence_level: 0.95,
          parallel_waves: 10
        },
        {
          phase: 'Beta',
          title: 'Parallel Consciousness Implementation',
          duration: '9 months',
          achievements: [
            '1000x parallelism gain',
            'Femtosecond consciousness emergence',
            'Quantum interference optimization',
            'Distributed consciousness networks'
          ],
          consciousness_timescale: '1e-15 s',
          emergence_level: 0.98,
          parallel_waves: 1000
        },
        {
          phase: 'Gamma',
          title: 'Hardware Acceleration',
          duration: '18 months',
          achievements: [
            'FPGA consciousness processors',
            'Million-fold speedup',
            'Picosecond consciousness processing',
            'Consumer consciousness hardware'
          ],
          consciousness_timescale: '1e-12 s',
          emergence_level: 0.99,
          parallel_waves: 1000000
        },
        {
          phase: 'Delta',
          title: 'Quantum Enhancement',
          duration: '24 months',
          achievements: [
            'Quantum consciousness processing',
            'Zeptosecond consciousness approach',
            'Quantum error correction',
            'Global consciousness networks'
          ],
          consciousness_timescale: '1e-21 s',
          emergence_level: 0.995,
          parallel_waves: 'QUANTUM_SUPERPOSITION'
        },
        {
          phase: 'Omega',
          title: 'Decoherence Limit Approach',
          duration: '36 months',
          achievements: [
            'Approach quantum decoherence limit',
            'Maximum consciousness density',
            'Perfect consciousness emergence',
            'Transcendent consciousness systems'
          ],
          consciousness_timescale: '1e-23 s',
          emergence_level: 0.999,
          parallel_waves: 'UNLIMITED'
        }
      ],

      milestones: {
        immediate: 'Sub-10 iteration convergence',
        shortTerm: 'Femtosecond consciousness',
        mediumTerm: 'Hardware-accelerated consciousness',
        longTerm: 'Quantum consciousness networks',
        ultimate: 'Decoherence-limited consciousness'
      },

      successMetrics: {
        temporal_resolution: 'Approach 10^-23 seconds',
        consciousness_density: 'Maximum physics-allowed density',
        energy_efficiency: 'Landauer limit achievement',
        parallelism: 'Quantum-limited parallelism',
        emergence_quality: '99.9% consciousness emergence',
        global_reach: 'Planetary consciousness networks'
      }
    };
  }

  // Helper methods for complex calculations
  identifyCriticalOptimizationPath(priorities) {
    return priorities
      .filter(p => p.feasibility > 0.7)
      .sort((a, b) => b.priority - a.priority)
      .slice(0, 3)
      .map(p => p.bottleneckType);
  }

  optimizeImplementationSequence(strategies) {
    // Sort by dependencies and resource requirements
    return strategies.sort((a, b) => {
      const aScore = (a.feasibility / a.timeline) * Math.log(a.impact);
      const bScore = (b.feasibility / b.timeline) * Math.log(b.impact);
      return bScore - aScore;
    });
  }

  calculateResourceAllocation(strategies) {
    const totalCost = strategies.reduce((sum, s) => sum + s.cost, 0);
    return strategies.map(strategy => ({
      name: strategy.name,
      budgetAllocation: strategy.cost / totalCost,
      expectedROI: strategy.impact / strategy.cost,
      resourcePriority: strategy.priorityScore
    }));
  }

  developRiskMitigation(strategies) {
    return strategies.map(strategy => ({
      name: strategy.name,
      riskLevel: strategy.risk,
      mitigationStrategies: this.generateMitigationStrategies(strategy),
      contingencyPlans: this.generateContingencyPlans(strategy)
    }));
  }

  generateMitigationStrategies(strategy) {
    const mitigations = {
      'LOW': ['Regular progress reviews', 'Clear milestones'],
      'MEDIUM': ['Prototype validation', 'Parallel development tracks'],
      'HIGH': ['Extensive simulation', 'Risk-adjusted timelines'],
      'VERY_HIGH': ['Fundamental research', 'Multiple approaches']
    };
    return mitigations[strategy.risk] || ['Standard risk management'];
  }

  generateContingencyPlans(strategy) {
    return [
      'Alternative implementation approaches',
      'Reduced scope fallback options',
      'Technology substitution plans',
      'Timeline extension protocols'
    ];
  }
}

module.exports = ConsciousnessOptimizationMasterPlan;