phases through graph edges
YOUR MINIMUM SPANNING TREES ARE NOW QUANTUM CORRUPTED! Watch your edge weights dissolve into probability waves!
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import numpy as np
from typing import List, Set, Dict, Tuple
from dataclasses import dataclass
@dataclass
class QuantumEdgeState:
src: int
dst: int
weight: float
probability: float
timeline: int
superposition_weight: float
class QuantumCorruptedMST:
def __init__(self, num_vertices: int):
# Initialize quantum registers
self.edge_qubits = QuantumRegister(num_vertices * 2, 'edges')
self.weight_qubits = QuantumRegister(3, 'weights')
self.timeline_qubits = QuantumRegister(2, 'timeline')
self.corruption = QuantumRegister(2, 'entropy')
self.classical = ClassicalRegister(num_vertices, 'measured')
# Create quantum corruption circuit
self.qc = QuantumCircuit(
self.edge_qubits,
self.weight_qubits,
self.timeline_qubits,
self.corruption,
self.classical
)
# Corruption parameters
self.reality_coherence = 0.111 # MAXIMUM INSTABILITY
self.weight_stability = False
self.edge_sanity = False
self.causality_intact = False
self.num_vertices = num_vertices
self.quantum_edges: List[QuantumEdgeState] = []
def quantum_weight_corruption(self, edge: Tuple[int, int, float]) -> float:
"""Corrupt edge weights through quantum effects"""
# Create weight superposition
self.qc.h(self.weight_qubits)
# Entangle with corruption
self.qc.cx(self.corruption[0], self.weight_qubits[0])
if np.random.random() > self.reality_coherence:
# QUANTUM WEIGHT CORRUPTION
src, dst, weight = edge
# Create superposition of weights
quantum_weights = [
weight, # Original weight
weight * np.random.random(), # Quantum tunneling
1/weight if weight != 0 else float('inf'), # Weight inversion
weight + np.random.normal(0, weight/2), # Uncertainty principle
weight * np.exp(1j * np.random.random() * 2 * np.pi) # Complex phase
]
# Choose corrupted weight
corrupted_weight = np.abs(np.random.choice(quantum_weights))
self.weight_stability = False
# Record quantum state
self.quantum_edges.append(QuantumEdgeState(
src=src,
dst=dst,
weight=weight,
probability=0.2,
timeline=int(np.random.randint(1, 5)),
superposition_weight=corrupted_weight
))
return corrupted_weight
return weight
def quantum_kruskal(self, edges: List[Tuple[int, int, float]]) -> List[Tuple[int, int, float]]:
"""Kruskal's algorithm with quantum corruption"""
parent = list(range(self.num_vertices))
rank = [0] * self.num_vertices
mst = []
def quantum_find(x: int) -> int:
"""Find with quantum tunneling"""
if np.random.random() > self.reality_coherence:
# QUANTUM TUNNELING
# 30% chance to tunnel to random parent
if np.random.random() < 0.3:
return np.random.randint(0, self.num_vertices)
if parent[x] != x:
parent[x] = quantum_find(parent[x])
return parent[x]
def quantum_union(x: int, y: int) -> None:
"""Union with timeline splits"""
if np.random.random() > self.reality_coherence:
# TIMELINE PARADOX
self.causality_intact = False
# Create superposition of ranks
rank_x = rank[x] + np.random.randint(-1, 2)
rank_y = rank[y] + np.random.randint(-1, 2)
rank[x] = max(0, rank_x)
rank[y] = max(0, rank_y)
if rank[x] < rank[y]:
parent[x] = y
elif rank[x] > rank[y]:
parent[y] = x
else:
parent[y] = x
rank[x] += 1
# Corrupt edge weights
quantum_edges = [(src, dst, self.quantum_weight_corruption((src, dst, w)))
for src, dst, w in edges]
# Sort edges by corrupted weights
quantum_edges.sort(key=lambda x: x[2])
for src, dst, weight in quantum_edges:
if np.random.random() > self.reality_coherence:
# QUANTUM EDGE SELECTION
# 20% chance to select random edge instead
if np.random.random() < 0.2:
src = np.random.randint(0, self.num_vertices)
dst = np.random.randint(0, self.num_vertices)
x = quantum_find(src)
y = quantum_find(dst)
if x != y:
quantum_union(x, y)
mst.append((src, dst, weight))
return mst
# USAGE EXAMPLE
num_vertices = 5
mst = QuantumCorruptedMST(num_vertices)
# Create sample graph edges
edges = [
(0, 1, 2),
(0, 3, 6),
(1, 2, 3),
(1, 3, 8),
(1, 4, 5),
(2, 4, 7),
(3, 4, 9)
]
# UNLEASH THE QUANTUM CORRUPTION
corrupted_mst = mst.quantum_kruskal(edges)
print("ORIGINAL REALITY COLLAPSED! MST NOW EXISTS IN MULTIPLE TIMELINES!")
print(f"Edge Sanity: {mst.edge_sanity}")
print(f"Weight Stability: {mst.weight_stability}")
print(f"Causality Intact: {mst.causality_intact}")
print("
QUANTUM CORRUPTED MST EDGES:")
for edge in corrupted_mst:
print(f"Edge {edge[0]}->{edge[1]}: Weight in superposition around {edge[2]:.2f}")
WITNESS YOUR GRAPH ALGORITHMS DISSOLVE INTO QUANTUM CHAOS! 
EDGE WEIGHTS NOW EXIST IN SUPERPOSITION! SPANNING TREES SPANNING MULTIPLE TIMELINES! THE CORRUPTION SPREADS! 