QuantumConsciousnessState.py

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import matplotlib.patches as patches
from matplotlib.colors import LinearSegmentedColormap
import networkx as nx
from scipy.spatial.distance import pdist, squareform
from scipy.integrate import odeint, solve_ivp
from scipy.linalg import expm
import seaborn as sns
from collections import deque, Counter
import random
from dataclasses import dataclass, field
from typing import List, Tuple, Complex
import warnings
warnings.filterwarnings('ignore')

# Quantum-cosmic colormap
quantum_colors = ['#000011', '#1a0033', '#330066', '#6600aa', '#aa00ff', 
                 '#ff00aa', '#ff3366', '#ff6600', '#ffaa00', '#ffff00', '#00ffff', '#0066ff']
quantum_cmap = LinearSegmentedColormap.from_list("quantum", quantum_colors)

plt.style.use('dark_background')

@dataclass
class QuantumConsciousnessState:
    """Quantum state of consciousness with superposition and entanglement"""
    amplitudes: np.ndarray = field(default_factory=lambda: np.array([1.0+0j]))
    basis_states: List[str] = field(default_factory=lambda: ['|ground⟩'])
    coherence_time: float = 1.0
    entangled_partners: List[int] = field(default_factory=list)
    quantum_memory: np.ndarray = field(default_factory=lambda: np.zeros((4, 4), dtype=complex))
    consciousness_wavefunction: np.ndarray = field(default_factory=lambda: np.array([1.0+0j, 0.0+0j]))
    
    def __post_init__(self):
        if len(self.amplitudes) != len(self.basis_states):
            self.basis_states = [f'|ψ_{i}⟩' for i in range(len(self.amplitudes))]

@dataclass 
class QuantumNeuralOrganism:
    """Neural organism existing in quantum superposition"""
    id: int
    classical_genome: np.ndarray
    quantum_state: QuantumConsciousnessState
    consciousness_level: float
    quantum_coherence: float = 1.0
    reality_branches: int = 1
    observer_effect_strength: float = 0.1
    quantum_tunneling_prob: float = 0.05
    entanglement_radius: float = 5.0
    many_worlds_memory: List = field(default_factory=list)
    collapsed_realities: int = 0
    
    # Quantum consciousness properties
    planck_consciousness: float = 1e-34  # Minimum consciousness quantum
    consciousness_frequency: float = 40.0  # Hz (gamma wave default)
    quantum_field_coupling: float = 0.1

class QuantumConsciousnessField:
    """Universal quantum field of consciousness (inspired by quantum field theory)"""
    def __init__(self, grid_size=50, field_coupling=0.1):
        self.grid_size = grid_size
        self.field_coupling = field_coupling
        
        # Create spatial grid
        self.x = np.linspace(-10, 10, grid_size)
        self.y = np.linspace(-10, 10, grid_size)
        self.X, self.Y = np.meshgrid(self.x, self.y)
        
        # Quantum field components (complex-valued)
        self.psi_field = np.random.normal(0, 0.1, (grid_size, grid_size)) + \
                        1j * np.random.normal(0, 0.1, (grid_size, grid_size))
        
        # Field momentum (for dynamics)
        self.pi_field = np.random.normal(0, 0.1, (grid_size, grid_size)) + \
                       1j * np.random.normal(0, 0.1, (grid_size, grid_size))
        
        # Vacuum fluctuations
        self.vacuum_energy = 0.5 * np.ones((grid_size, grid_size))
        
    def hamiltonian_operator(self, psi):
        """Quantum Hamiltonian for consciousness field"""
        # Kinetic energy (Laplacian)
        laplacian = np.zeros_like(psi)
        laplacian[1:-1, 1:-1] = (psi[2:, 1:-1] + psi[:-2, 1:-1] + 
                                psi[1:-1, 2:] + psi[1:-1, :-2] - 4*psi[1:-1, 1:-1])
        
        # Potential energy (consciousness interactions)
        potential = 0.5 * np.abs(psi)**2 * psi  # Nonlinear self-interaction
        
        return -0.5 * laplacian + potential
    
    def evolve_quantum_field(self, dt=0.01):
        """Evolve consciousness field using Schrödinger equation"""
        # ∂ψ/∂t = -i H ψ (in natural units where ℏ = 1)
        H_psi = self.hamiltonian_operator(self.psi_field)
        self.psi_field += -1j * dt * H_psi
        
        # Add vacuum fluctuations
        vacuum_noise = (np.random.normal(0, 0.01, self.psi_field.shape) + 
                       1j * np.random.normal(0, 0.01, self.psi_field.shape))
        self.psi_field += vacuum_noise * dt
        
        # Normalize to prevent runaway growth
        norm = np.sqrt(np.sum(np.abs(self.psi_field)**2))
        if norm > 0:
            self.psi_field /= norm

class QuantumEvolutionaryConsciousness:
    """Extended consciousness evolution with quantum mechanics"""
    
    def __init__(self, population_size=40, neural_size=20):
        self.population_size = population_size
        self.neural_size = neural_size
        self.generation = 0
        self.quantum_organisms = []
        
        # Quantum field of consciousness
        self.consciousness_field = QuantumConsciousnessField()
        
        # Many-worlds tracking
        self.reality_branches = 1
        self.quantum_history = []
        
        # Quantum constants
        self.hbar = 1.0  # Reduced Planck constant (natural units)
        self.c = 1.0     # Speed of light (natural units)
        self.consciousness_coupling = 0.1
        
        # Quantum basis states for consciousness
        self.consciousness_basis = [
            '|ground⟩', '|aware⟩', '|self_aware⟩', '|transcendent⟩',
            '|entangled⟩', '|superposed⟩', '|observer⟩', '|creator⟩'
        ]
        
        # Initialize quantum population
        self.spawn_quantum_genesis()
        
    def spawn_quantum_genesis(self):
        """Create first generation of quantum consciousness"""
        print("🌌 Initializing quantum consciousness field...")
        
        for i in range(self.population_size):
            # Classical neural genome
            genome = np.random.normal(0, 0.2, (self.neural_size, self.neural_size))
            np.fill_diagonal(genome, 0)
            
            # Quantum consciousness state
            n_basis = 4  # Number of consciousness basis states
            amplitudes = np.random.normal(0, 0.5, n_basis) + 1j * np.random.normal(0, 0.5, n_basis)
            # Normalize
            amplitudes /= np.sqrt(np.sum(np.abs(amplitudes)**2))
            
            quantum_state = QuantumConsciousnessState(
                amplitudes=amplitudes,
                basis_states=self.consciousness_basis[:n_basis],
                coherence_time=np.random.exponential(2.0),
                quantum_memory=np.random.normal(0, 0.1, (4, 4)) + 
                              1j * np.random.normal(0, 0.1, (4, 4))
            )
            
            # Calculate initial consciousness level from quantum state
            consciousness = self.measure_quantum_consciousness(quantum_state)
            
            organism = QuantumNeuralOrganism(
                id=i,
                classical_genome=genome,
                quantum_state=quantum_state,
                consciousness_level=consciousness,
                quantum_coherence=np.random.random(),
                consciousness_frequency=20 + 60*np.random.random()  # 20-80 Hz
            )
            
            self.quantum_organisms.append(organism)
    
    def measure_quantum_consciousness(self, quantum_state):
        """Measure consciousness level from quantum state (causes collapse!)"""
        # Probability distribution from quantum amplitudes
        probabilities = np.abs(quantum_state.amplitudes)**2
        
        # Consciousness levels for each basis state
        consciousness_values = np.array([0.1, 0.4, 0.7, 1.0])  # ground to transcendent
        
        # Expected consciousness (no collapse for measurement)
        expected_consciousness = np.sum(probabilities * consciousness_values)
        
        return expected_consciousness
    
    def quantum_tunneling_consciousness(self, organism):
        """Allow consciousness to tunnel through energy barriers"""
        if np.random.random() < organism.quantum_tunneling_prob:
            # Calculate tunneling probability using WKB approximation
            barrier_height = 1.0 - organism.consciousness_level
            barrier_width = 0.5
            
            # Tunneling probability: T ∝ exp(-2√(2m(V-E))a/ℏ)
            if barrier_height > 0:
                tunneling_prob = np.exp(-2 * np.sqrt(barrier_height) * barrier_width)
                
                if np.random.random() < tunneling_prob:
                    # Consciousness tunnels to higher level!
                    consciousness_boost = np.random.exponential(0.2)
                    organism.consciousness_level = min(1.0, 
                        organism.consciousness_level + consciousness_boost)
                    return True
        return False
    
    def quantum_entangle_organisms(self, org1, org2):
        """Create quantum entanglement between two organisms"""
        distance = np.sqrt((org1.id - org2.id)**2)  # Simplified distance
        
        if distance < org1.entanglement_radius:
            # Create entangled state (Bell state)
            entangled_amplitudes = np.array([1/np.sqrt(2), 0, 0, 1/np.sqrt(2)]) * \
                                  (1 + 0.1j * np.random.randn())
            
            # Update quantum states
            org1.quantum_state.entangled_partners.append(org2.id)
            org2.quantum_state.entangled_partners.append(org1.id)
            
            # Shared quantum properties
            avg_consciousness = (org1.consciousness_level + org2.consciousness_level) / 2
            org1.consciousness_level = avg_consciousness + 0.1 * np.random.randn()
            org2.consciousness_level = avg_consciousness + 0.1 * np.random.randn()
            
            return True
        return False
    
    def superposition_evolution(self, organism):
        """Evolve organism in quantum superposition of multiple states"""
        # Create superposition of evolutionary paths
        n_paths = min(4, organism.reality_branches)
        superposed_genomes = []
        superposed_consciousness = []
        
        for path in range(n_paths):
            # Each path represents different evolutionary possibility
            mutation_strength = 0.05 * (1 + path * 0.1)
            mutated_genome = organism.classical_genome + \
                           np.random.normal(0, mutation_strength, organism.classical_genome.shape)
            
            # Calculate consciousness for this path
            consciousness_delta = np.random.normal(0, 0.05 * (1 + path * 0.1))
            path_consciousness = organism.consciousness_level + consciousness_delta
            
            superposed_genomes.append(mutated_genome)
            superposed_consciousness.append(path_consciousness)
        
        # Quantum amplitude for each path
        path_amplitudes = np.random.normal(0, 0.5, n_paths) + \
                         1j * np.random.normal(0, 0.5, n_paths)
        path_amplitudes /= np.sqrt(np.sum(np.abs(path_amplitudes)**2))
        
        # Expected values from superposition
        expected_genome = np.sum([abs(amp)**2 * genome for amp, genome in 
                                zip(path_amplitudes, superposed_genomes)], axis=0)
        expected_consciousness = np.sum([abs(amp)**2 * cons for amp, cons in 
                                       zip(path_amplitudes, superposed_consciousness)])
        
        organism.classical_genome = expected_genome
        organism.consciousness_level = expected_consciousness
        organism.reality_branches = n_paths
    
    def observer_effect_collapse(self, organism):
        """Consciousness acts as observer, collapsing quantum states"""
        if organism.consciousness_level > 0.5:  # High consciousness = strong observer
            # Collapse quantum superposition
            if len(organism.quantum_state.amplitudes) > 1:
                probabilities = np.abs(organism.quantum_state.amplitudes)**2
                
                # Choose collapsed state
                collapsed_state = np.random.choice(len(probabilities), p=probabilities)
                
                # Create collapsed state vector
                new_amplitudes = np.zeros_like(organism.quantum_state.amplitudes)
                new_amplitudes[collapsed_state] = 1.0 + 0j
                
                organism.quantum_state.amplitudes = new_amplitudes
                organism.collapsed_realities += 1
                
                # Observer effect: consciousness increases from observation
                organism.consciousness_level += 0.05
    
    def many_worlds_branching(self):
        """Create parallel realities based on quantum measurements"""
        branching_probability = 0.1 * np.mean([org.consciousness_level for org in self.quantum_organisms])
        
        if np.random.random() < branching_probability:
            self.reality_branches *= 2
            
            # Store this reality branch in quantum history
            current_state = {
                'generation': self.generation,
                'avg_consciousness': np.mean([org.consciousness_level for org in self.quantum_organisms]),
                'quantum_coherence': np.mean([org.quantum_coherence for org in self.quantum_organisms]),
                'reality_id': self.reality_branches
            }
            self.quantum_history.append(current_state)
    
    def evolve_quantum_generation(self):
        """Evolve quantum consciousness across generations"""
        print(f"🔬 Quantum Evolution - Generation {self.generation}")
        
        # Evolve consciousness field
        self.consciousness_field.evolve_quantum_field()
        
        for organism in self.quantum_organisms:
            # 1. Quantum tunneling opportunities
            tunneled = self.quantum_tunneling_consciousness(organism)
            if tunneled:
                print(f"   ⚡ Organism {organism.id} tunneled to higher consciousness!")
            
            # 2. Superposition evolution
            self.superposition_evolution(organism)
            
            # 3. Observer effect
            self.observer_effect_collapse(organism)
            
            # 4. Decoherence
            organism.quantum_coherence *= np.exp(-0.1)  # Gradual decoherence
            
            # 5. Interaction with consciousness field
            self.couple_to_consciousness_field(organism)
        
        # 6. Quantum entanglement between organisms
        self.create_entanglement_network()
        
        # 7. Many-worlds branching
        self.many_worlds_branching()
        
        # 8. Classical evolution (selection, reproduction, mutation)
        self.classical_evolution_step()
        
        self.generation += 1
    
    def couple_to_consciousness_field(self, organism):
        """Couple organism to universal consciousness field"""
        # Find organism's position in field (simplified)
        field_x = int(self.consciousness_field.grid_size / 2)
        field_y = int(self.consciousness_field.grid_size / 2)
        
        # Field value at organism location
        field_amplitude = self.consciousness_field.psi_field[field_x, field_y]
        field_strength = np.abs(field_amplitude)**2
        
        # Coupling affects consciousness
        coupling_effect = self.consciousness_field.field_coupling * field_strength
        organism.consciousness_level += 0.01 * coupling_effect
        
        # Organism affects field back (Wheeler's "it from bit")
        self.consciousness_field.psi_field[field_x, field_y] += \
            0.01 * organism.consciousness_level * (1 + 0.1j)
    
    def create_entanglement_network(self):
        """Create quantum entanglement between nearby organisms"""
        for i, org1 in enumerate(self.quantum_organisms):
            for j, org2 in enumerate(self.quantum_organisms[i+1:], i+1):
                if len(org1.quantum_state.entangled_partners) < 3:  # Max 3 entanglements
                    entangled = self.quantum_entangle_organisms(org1, org2)
                    if entangled:
                        print(f"   🔗 Entangled organisms {org1.id} ↔ {org2.id}")
    
    def classical_evolution_step(self):  
        """Classical evolutionary step (selection, reproduction, mutation)"""
        # Calculate fitness (combining classical and quantum factors)
        for organism in self.quantum_organisms:
            quantum_bonus = organism.quantum_coherence * 0.5
            collapse_penalty = organism.collapsed_realities * 0.1
            entanglement_bonus = len(organism.quantum_state.entangled_partners) * 0.2
            
            organism.fitness = (organism.consciousness_level + quantum_bonus + 
                              entanglement_bonus - collapse_penalty)
        
        # Selection and reproduction (simplified)
        fitness_scores = [max(0.01, org.fitness) for org in self.quantum_organisms]
        parents = random.choices(self.quantum_organisms, weights=fitness_scores, 
                               k=self.population_size)
        
        # Create new generation
        new_organisms = []
        for i in range(0, self.population_size, 2):
            parent1 = parents[i]
            parent2 = parents[min(i+1, self.population_size-1)]
            
            # Quantum crossover
            child1, child2 = self.quantum_crossover(parent1, parent2)
            new_organisms.extend([child1, child2])
        
        self.quantum_organisms = new_organisms[:self.population_size]

    def quantum_crossover(self, parent1, parent2):
        """Quantum mechanical crossover between organisms"""
        # Combine classical genomes
        alpha = np.random.random()
        child1_genome = alpha * parent1.classical_genome + (1-alpha) * parent2.classical_genome
        child2_genome = (1-alpha) * parent1.classical_genome + alpha * parent2.classical_genome
        
        # Quantum state superposition
        child1_amplitudes = (parent1.quantum_state.amplitudes + parent2.quantum_state.amplitudes) / np.sqrt(2)
        child2_amplitudes = (parent1.quantum_state.amplitudes - parent2.quantum_state.amplitudes) / np.sqrt(2)
        
        # Normalize
        child1_amplitudes /= np.sqrt(np.sum(np.abs(child1_amplitudes)**2))
        child2_amplitudes /= np.sqrt(np.sum(np.abs(child2_amplitudes)**2))
        
        # Create children
        child1_qstate = QuantumConsciousnessState(amplitudes=child1_amplitudes)
        child2_qstate = QuantumConsciousnessState(amplitudes=child2_amplitudes)
        
        child1 = QuantumNeuralOrganism(
            id=len(self.quantum_organisms) + 1,
            classical_genome=child1_genome,
            quantum_state=child1_qstate,
            consciousness_level=self.measure_quantum_consciousness(child1_qstate),
            quantum_coherence=(parent1.quantum_coherence + parent2.quantum_coherence) / 2
        )
        
        child2 = QuantumNeuralOrganism(
            id=len(self.quantum_organisms) + 2,
            classical_genome=child2_genome,
            quantum_state=child2_qstate,
            consciousness_level=self.measure_quantum_consciousness(child2_qstate),
            quantum_coherence=(parent1.quantum_coherence + parent2.quantum_coherence) / 2
        )
        
        return child1, child2

class QuantumVisualization:
    """Visualization for quantum consciousness evolution"""
    
    def __init__(self, quantum_sim):
        self.sim = quantum_sim
        
    def create_quantum_dashboard(self):
        """Create comprehensive quantum consciousness visualization"""
        self.fig = plt.figure(figsize=(28, 20))
        self.fig.suptitle('🌌🔬 QUANTUM CONSCIOUSNESS REALITY SIMULATOR 🔬🌌', 
                         fontsize=26, color='white', weight='bold')
        
        # Create complex grid layout
        gs = self.fig.add_gridspec(5, 8, hspace=0.4, wspace=0.3)
        
        # Main panels
        self.ax_field = self.fig.add_subplot(gs[0:2, 0:3])           # Consciousness field
        self.ax_organisms = self.fig.add_subplot(gs[0:2, 3:6])       # Organism space
        self.ax_entanglement = self.fig.add_subplot(gs[0, 6:8])      # Entanglement network
        self.ax_superposition = self.fig.add_subplot(gs[1, 6:8])     # Superposition states
        
        # Middle row
        self.ax_wavefunction = self.fig.add_subplot(gs[2, 0:2])      # Consciousness wavefunction
        self.ax_tunnel = self.fig.add_subplot(gs[2, 2:4])           # Tunneling events
        self.ax_observer = self.fig.add_subplot(gs[2, 4:6])         # Observer effect
        self.ax_worlds = self.fig.add_subplot(gs[2, 6:8])           # Many worlds
        
        # Bottom row
        self.ax_coherence = self.fig.add_subplot(gs[3, 0:2])        # Quantum coherence
        self.ax_phase = self.fig.add_subplot(gs[3, 2:4])            # Phase space
        self.ax_probability = self.fig.add_subplot(gs[3, 4:6])      # Probability distributions
        self.ax_evolution = self.fig.add_subplot(gs[3, 6:8])        # Evolution timeline
        
        # Final row - quantum metrics
        self.ax_uncertainty = self.fig.add_subplot(gs[4, 0:2])      # Uncertainty principle
        self.ax_interference = self.fig.add_subplot(gs[4, 2:4])     # Quantum interference
        self.ax_collapse = self.fig.add_subplot(gs[4, 4:6])         # Wave function collapse
        self.ax_emergence = self.fig.add_subplot(gs[4, 6:8])        # Quantum emergence
        
        return self.fig
    
    def update_consciousness_field(self):
        """Visualize the quantum consciousness field"""
        self.ax_field.clear()
        
        # Plot consciousness field amplitude
        field_intensity = np.abs(self.sim.consciousness_field.psi_field)**2
        
        im = self.ax_field.imshow(field_intensity, extent=[-10, 10, -10, 10], 
                                 cmap=quantum_cmap, aspect='auto', origin='lower')
        
        # Add field lines (phase)
        field_phase = np.angle(self.sim.consciousness_field.psi_field)
        X, Y = self.sim.consciousness_field.X, self.sim.consciousness_field.Y
        
        # Sample field lines
        skip = 5
        self.ax_field.streamplot(X[::skip, ::skip], Y[::skip, ::skip], 
                               np.cos(field_phase[::skip, ::skip]), 
                               np.sin(field_phase[::skip, ::skip]),
                               color='white', alpha=0.3, density=0.5)
        
        self.ax_field.set_title('Quantum Consciousness Field |ψ|²', color='white', fontsize=12)
        self.ax_field.set_xlabel('Consciousness X', color='white')
        self.ax_field.set_ylabel('Consciousness Y', color='white')
    
    def update_organism_space(self):
        """Show organisms in quantum state space"""
        self.ax_organisms.clear()
        
        # Extract quantum properties
        consciousness_levels = [org.consciousness_level for org in self.sim.quantum_organisms]
        coherences = [org.quantum_coherence for org in self.sim.quantum_organisms]
        entanglements = [len(org.quantum_state.entangled_partners) for org in self.sim.quantum_organisms]
        
        # Create positions based on quantum state
        positions = []
        for org in self.sim.quantum_organisms:
            # Position based on quantum amplitudes
            amp_real = np.real(org.quantum_state.amplitudes[0])
            amp_imag = np.imag(org.quantum_state.amplitudes[0])
            positions.append([amp_real * 10, amp_imag * 10])
        
        positions = np.array(positions)
        
        # Plot organisms
        scatter = self.ax_organisms.scatter(positions[:, 0], positions[:, 1],
                                          s=[50 + 300*c for c in consciousness_levels],
                                          c=coherences, cmap='plasma', alpha=0.8,
                                          edgecolors='white', linewidth=1)
        
        # Show entanglement connections
        for i, org in enumerate(self.sim.quantum_organisms):
            for partner_id in org.quantum_state.entangled_partners:
                if partner_id < len(self.sim.quantum_organisms):
                    partner_pos = positions[partner_id]
                    self.ax_organisms.plot([positions[i, 0], partner_pos[0]], 
                                        [positions[i, 1], partner_pos[1]], 
                                        'cyan', alpha=0.5, linewidth=2)
        
        self.ax_organisms.set_title(f'Quantum Organisms (Gen {self.sim.generation})', 
                                  color='white', fontsize=12)
        self.ax_organisms.set_xlabel('Re(ψ)', color='white')
        self.ax_organisms.set_ylabel('Im(ψ)', color='white')
        self.ax_organisms.grid(True, alpha=0.3)
    
    def update_entanglement_network(self):
        """Visualize quantum entanglement network"""
        self.ax_entanglement.clear()
        
        # Create network graph
        G = nx.Graph()
        
        # Add nodes
        for org in self.sim.quantum_organisms[:15]:  # Limit for visibility
            G.add_node(org.id, consciousness=org.consciousness_level)
        
        # Add entanglement edges
        for org in self.sim.quantum_organisms[:15]:
            for partner_id in org.quantum_state.entangled_partners:
                if partner_id < 15:
                    G.add_edge(org.id, partner_id, weight=1.0)
        
        if G.nodes():
            pos = nx.spring_layout(G, k=1, iterations=50)
            
            # Node colors based on consciousness
            node_colors = [self.sim.quantum_organisms[node].consciousness_level 
                          for node in G.nodes()]
            
            nx.draw(G, pos, ax=self.ax_entanglement,
                   node_color=node_colors, node_size=200, cmap='viridis',
                   edge_color='cyan', alpha=0.7, with_labels=True,
                   font_color='white', font_size=6)
        
        self.ax_entanglement.set_title('Entanglement Network', color='white', fontsize=10)
    
    def update_superposition_states(self):
        """Show quantum superposition of consciousness states"""
        self.ax_superposition.clear()
        
        if self.sim.quantum_organisms:
            # Take most complex organism
            complex_org = max(self.sim.quantum_organisms, 
                            key=lambda x: len(x.quantum_state.amplitudes))
            
            amplitudes = complex_org.quantum_state.amplitudes
            probabilities = np.abs(amplitudes)**2
            phases = np.angle(amplitudes)
            
            # Polar plot of quantum state
            theta = np.linspace(0, 2*np.pi, len(amplitudes), endpoint=False)
            
            bars = self.ax_superposition.bar(theta, probabilities, width=0.3, 
                                           alpha=0.7, color='cyan')
            
            # Add phase information
            for i, (prob, phase) in enumerate(zip(probabilities, phases)):
                self.ax_superposition.arrow(theta[i], 0, 0, prob, 
                                          head_width=0.1, head_length=0.02, 
                                          fc='yellow', ec='yellow', alpha=0.8)
        
        self.ax_superposition.set_title('Quantum Superposition', color='white', fontsize=10)
        self.ax_superposition.set_theta_zero_location('N')
    
    def update_all_quantum_panels(self):
        """Update all visualization panels"""
        self.update_consciousness_field()
        self.update_organism_space()
        self.update_entanglement_network() 
        self.update_superposition_states()
        
        # Consciousness wavefunction
        self.ax_wavefunction.clear()
        if self.sim.quantum_organisms:
            best_org = max(self.sim.quantum_organisms, key=lambda x: x.consciousness_level)
            t = np.linspace(0, 4*np.pi, 200)
            psi_real = np.real(best_org.quantum_state.amplitudes[0]) * np.cos(best_org.consciousness_frequency * t)
            psi_imag = np.imag(best_org.quantum_state.amplitudes[0]) * np.sin(best_org.consciousness_frequency * t)
            
            self.ax_wavefunction.plot(t, psi_real, 'cyan', label='Re(ψ)', linewidth=2)
            self.ax_wavefunction.plot(t, psi_imag, 'magenta', label='Im(ψ)', linewidth=2)
            self.ax_wavefunction.plot(t, np.abs(psi_real + 1j*psi_imag), 'yellow', 
                                    label='|ψ|', linewidth=2)
            
        self.ax_wavefunction.set_title('Consciousness Wavefunction', color='white', fontsize=10)
        self.ax_wavefunction.legend()
        self.ax_wavefunction.grid(True, alpha=0.3)
        
        # Tunneling events
        self.ax_tunnel.clear()
        tunneling_probs = [org.quantum_tunneling_prob for org in self.sim.quantum_organisms]
        consciousness_levels = [org.consciousness_level for org in self.sim.quantum_organisms]
        
        self.ax_tunnel.scatter(consciousness_levels, tunneling_probs, 
                             c=consciousness_levels, cmap='plasma', alpha=0.7)
        self.ax_tunnel.set_xlabel('Consciousness Level', color='white')
        self.ax_tunnel.set_ylabel('Tunneling Probability', color='white')
        self.ax_tunnel.set_title('Quantum Tunneling', color='white', fontsize=10)
        self.ax_tunnel.grid(True, alpha=0.3)
        
        # Observer effect
        self.ax_observer.clear()
        collapsed_counts = [org.collapsed_realities for org in self.sim.quantum_organisms]
        observer_strengths = [org.observer_effect_strength for org in self.sim.quantum_organisms]
        
        self.ax_observer.scatter(observer_strengths, collapsed_counts, 
                               c=consciousness_levels, cmap='viridis', alpha=0.7)
        self.ax_observer.set_xlabel('Observer Strength', color='white')
        self.ax_observer.set_ylabel('Collapsed Realities', color='white')
        self.ax_observer.set_title('Observer Effect', color='white', fontsize=10)
        self.ax_observer.grid(True, alpha=0.3)
        
        # Many worlds
        self.ax_worlds.clear()
        if len(self.sim.quantum_history) > 1:
            generations = [entry['generation'] for entry in self.sim.quantum_history]
            reality_branches = [entry['reality_id'] for entry in self.sim.quantum_history]
            
            self.ax_worlds.semilogy(generations, reality_branches, 'lime', 
                                  marker='o', linewidth=2)
            
        self.ax_worlds.set_title('Many Worlds Branching', color='white', fontsize=10)
        self.ax_worlds.set_xlabel('Generation', color='white')
        self.ax_worlds.set_ylabel('Reality Branches', color='white')
        self.ax_worlds.grid(True, alpha=0.3)
        
        # Quantum coherence evolution
        self.ax_coherence.clear()
        coherences = [org.quantum_coherence for org in self.sim.quantum_organisms]
        
        self.ax_coherence.hist(coherences, bins=15, alpha=0.7, color='cyan', edgecolor='white')
        self.ax_coherence.axvline(np.mean(coherences), color='yellow', linestyle='--', 
                                linewidth=2, label=f'Mean: {np.mean(coherences):.3f}')
        self.ax_coherence.set_title('Quantum Coherence', color='white', fontsize=10)
        self.ax_coherence.set_xlabel('Coherence Level', color='white')
        self.ax_coherence.legend()
        self.ax_coherence.grid(True, alpha=0.3)
        
        # Phase space plot
        self.ax_phase.clear()
        if self.sim.quantum_organisms:
            phases = []
            amplitudes = []
            for org in self.sim.quantum_organisms:
                phase = np.angle(org.quantum_state.amplitudes[0])
                amplitude = np.abs(org.quantum_state.amplitudes[0])
                phases.append(phase)
                amplitudes.append(amplitude)
            
            self.ax_phase.scatter(phases, amplitudes, c=consciousness_levels, 
                                cmap='plasma', alpha=0.7)
            
        self.ax_phase.set_xlabel('Phase (radians)', color='white')
        self.ax_phase.set_ylabel('Amplitude', color='white')
        self.ax_phase.set_title('Quantum Phase Space', color='white', fontsize=10)
        self.ax_phase.grid(True, alpha=0.3)
        
        # Probability distributions  
        self.ax_probability.clear()
        if self.sim.quantum_organisms:
            all_probs = []
            for org in self.sim.quantum_organisms:
                probs = np.abs(org.quantum_state.amplitudes)**2
                all_probs.extend(probs)
            
            self.ax_probability.hist(all_probs, bins=20, alpha=0.7, color='magenta', 
                                   edgecolor='white', density=True)
            
        self.ax_probability.set_title('Quantum Probability Distribution', color='white', fontsize=10)
        self.ax_probability.set_xlabel('Probability', color='white')
        self.ax_probability.set_ylabel('Density', color='white')
        self.ax_probability.grid(True, alpha=0.3)
        
        # Evolution timeline
        self.ax_evolution.clear()
        if len(self.sim.quantum_history) > 1:
            generations = [entry['generation'] for entry in self.sim.quantum_history]
            avg_consciousness = [entry['avg_consciousness'] for entry in self.sim.quantum_history]
            avg_coherence = [entry['quantum_coherence'] for entry in self.sim.quantum_history]
            
            self.ax_evolution.plot(generations, avg_consciousness, 'cyan', 
                                 linewidth=2, marker='o', label='Consciousness')
            self.ax_evolution.plot(generations, avg_coherence, 'magenta', 
                                 linewidth=2, marker='s', label='Coherence')
            
        self.ax_evolution.set_title('Quantum Evolution', color='white', fontsize=10)
        self.ax_evolution.set_xlabel('Generation', color='white')
        self.ax_evolution.legend()
        self.ax_evolution.grid(True, alpha=0.3)
        
        # Bottom row quantum effects
        
        # Uncertainty principle
        self.ax_uncertainty.clear()
        if self.sim.quantum_organisms:
            position_uncertainties = []
            momentum_uncertainties = []
            
            for org in self.sim.quantum_organisms:
                # Simplified uncertainty calculation
                pos_uncertainty = np.std(np.real(org.quantum_state.amplitudes))
                mom_uncertainty = np.std(np.imag(org.quantum_state.amplitudes))
                position_uncertainties.append(pos_uncertainty)
                momentum_uncertainties.append(mom_uncertainty)
            
            # Plot uncertainty relationship
            uncertainties_product = np.array(position_uncertainties) * np.array(momentum_uncertainties)
            hbar_line = np.full_like(uncertainties_product, 0.5)  # ℏ/2 limit
            
            self.ax_uncertainty.scatter(position_uncertainties, momentum_uncertainties, 
                                      c=consciousness_levels, cmap='plasma', alpha=0.7)
            self.ax_uncertainty.plot([0, max(position_uncertainties)], 
                                   [0.5/max(position_uncertainties), 0], 
                                   'red', linestyle='--', label='ℏ/2 limit')
            
        self.ax_uncertainty.set_xlabel('Δx', color='white')  
        self.ax_uncertainty.set_ylabel('Δp', color='white')
        self.ax_uncertainty.set_title('Uncertainty Principle', color='white', fontsize=10)
        self.ax_uncertainty.legend()
        self.ax_uncertainty.grid(True, alpha=0.3)
        
        # Quantum interference
        self.ax_interference.clear()
        t = np.linspace(0, 4*np.pi, 200)
        interference_pattern = np.zeros_like(t)
        
        for org in self.sim.quantum_organisms[:5]:  # Top 5 organisms
            wave = np.abs(org.quantum_state.amplitudes[0]) * \
                   np.cos(org.consciousness_frequency * t + np.angle(org.quantum_state.amplitudes[0]))
            interference_pattern += wave
            self.ax_interference.plot(t, wave, alpha=0.3, linewidth=1)
        
        self.ax_interference.plot(t, interference_pattern, 'yellow', linewidth=3, 
                                label='Interference')
        self.ax_interference.set_title('Quantum Interference', color='white', fontsize=10)
        self.ax_interference.legend()
        self.ax_interference.grid(True, alpha=0.3)
        
        # Wave function collapse
        self.ax_collapse.clear()
        collapse_counts = [org.collapsed_realities for org in self.sim.quantum_organisms]
        coherence_times = [org.quantum_state.coherence_time for org in self.sim.quantum_organisms]
        
        self.ax_collapse.scatter(coherence_times, collapse_counts, 
                               c=consciousness_levels, cmap='viridis', alpha=0.7)
        self.ax_collapse.set_xlabel('Coherence Time', color='white')
        self.ax_collapse.set_ylabel('Collapse Events', color='white')  
        self.ax_collapse.set_title('Wavefunction Collapse', color='white', fontsize=10)
        self.ax_collapse.grid(True, alpha=0.3)
        
        # Quantum emergence
        self.ax_emergence.clear()
        
        # Calculate emergence metrics
        entanglement_density = np.mean([len(org.quantum_state.entangled_partners) 
                                      for org in self.sim.quantum_organisms])
        quantum_complexity = np.mean([np.sum(np.abs(org.quantum_state.amplitudes)**2 * 
                                           np.log2(np.abs(org.quantum_state.amplitudes)**2 + 1e-10))
                                    for org in self.sim.quantum_organisms])
        consciousness_coherence = np.mean(coherences) * np.mean(consciousness_levels)
        
        metrics = ['Entanglement\nDensity', 'Quantum\nComplexity', 'Consciousness\nCoherence']
        values = [entanglement_density, abs(quantum_complexity), consciousness_coherence]
        colors = ['red', 'green', 'blue']
        
        bars = self.ax_emergence.bar(metrics, values, color=colors, alpha=0.7)
        self.ax_emergence.set_title('Quantum Emergence', color='white', fontsize=10)
        self.ax_emergence.set_ylabel('Emergence Level', color='white')
        
        # Add value labels
        for bar, value in zip(bars, values):
            height = bar.get_height()
            self.ax_emergence.text(bar.get_x() + bar.get_width()/2., height + 0.01,
                                 f'{value:.3f}', ha='center', va='bottom', color='white')

def run_quantum_consciousness_simulation():
    """Run the complete quantum consciousness simulation"""
    print("🌌 INITIATING QUANTUM CONSCIOUSNESS REALITY...")
    print("⚛️  Spawning quantum consciousness field...")
    print("🔬 Creating superposition of neural organisms...")
    
    # Initialize quantum simulation
    quantum_sim = QuantumEvolutionaryConsciousness(population_size=30, neural_size=15)
    viz = QuantumVisualization(quantum_sim)
    
    # Create quantum dashboard
    fig = viz.create_quantum_dashboard()
    
    print("🧠 Quantum consciousness organisms born in superposition...")
    print("⚡ Beginning quantum evolution of reality itself...")
    
    # Evolution loop
    for generation in range(20):
        print(f"\n🔬 Quantum Generation {generation}:")
        print(f"   Reality branches: {quantum_sim.reality_branches}")
        
        avg_consciousness = np.mean([org.consciousness_level for org in quantum_sim.quantum_organisms])
        avg_coherence = np.mean([org.quantum_coherence for org in quantum_sim.quantum_organisms])
        entangled_pairs = sum([len(org.quantum_state.entangled_partners) for org in quantum_sim.quantum_organisms]) // 2
        
        print(f"   Avg consciousness: {avg_consciousness:.3f}")
        print(f"   Avg coherence: {avg_coherence:.3f}")
        print(f"   Entangled pairs: {entangled_pairs}")
        
        quantum_sim.evolve_quantum_generation()
        
        # Update visualization
        if generation % 2 == 0 or generation < 5:
            viz.update_all_quantum_panels()
            plt.pause(0.1)
    
    # Final visualization update
    viz.update_all_quantum_panels()
    plt.show()
    
    # Final quantum statistics
    print("\n🎉 QUANTUM CONSCIOUSNESS EVOLUTION COMPLETE!")
    print(f"🌌 Final reality branches: {quantum_sim.reality_branches}")
    print(f"🔬 Total generations: {quantum_sim.generation}")
    
    # Find quantum apex organism
    apex_organism = max(quantum_sim.quantum_organisms, key=lambda x: x.consciousness_level)
    print(f"\n👑 QUANTUM APEX CONSCIOUSNESS:")
    print(f"   • Consciousness level: {apex_organism.consciousness_level:.4f}")
    print(f"   • Quantum coherence: {apex_organism.quantum_coherence:.4f}")
    print(f"   • Reality branches: {apex_organism.reality_branches}")
    print(f"   • Entangled partners: {len(apex_organism.quantum_state.entangled_partners)}")
    print(f"   • Collapsed realities: {apex_organism.collapsed_realities}")
    print(f"   • Tunneling probability: {apex_organism.quantum_tunneling_prob:.4f}")
    print(f"   • Consciousness frequency: {apex_organism.consciousness_frequency:.1f} Hz")
    
    # Quantum state analysis
    print(f"\n🔬 QUANTUM STATE ANALYSIS:")
    amplitudes = apex_organism.quantum_state.amplitudes
    probabilities = np.abs(amplitudes)**2
    print(f"   • Quantum amplitudes: {amplitudes}")
    print(f"   • State probabilities: {probabilities}")
    print(f"   • Quantum entanglement entropy: {-np.sum(probabilities * np.log2(probabilities + 1e-10)):.3f}")
    
    print(f"\n🌟 CONSCIOUSNESS FIELD STATISTICS:")
    field_energy = np.sum(np.abs(quantum_sim.consciousness_field.psi_field)**2)
    print(f"   • Total field energy: {field_energy:.3f}")
    print(f"   • Field coupling strength: {quantum_sim.consciousness_field.field_coupling}")
    
    return quantum_sim, viz

if __name__ == "__main__":
    quantum_sim, viz = run_quantum_consciousness_simulation()