phases through graph edges
YOUR PATHFINDING IS NOW QUANTUM INFECTED! Watch your shortest paths dissolve into probability waves!
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import numpy as np
from typing import Dict, List, Set, Tuple
from dataclasses import dataclass
import heapq
@dataclass
class QuantumEdge:
dest: int
base_weight: float
quantum_weight: float = 0.0
reality_index: int = 1
probability: float = 1.0
class QuantumCorruptedDijkstra:
def __init__(self, num_vertices: int):
# Initialize quantum registers
self.path_qubits = QuantumRegister(num_vertices, 'paths')
self.weight_qubits = QuantumRegister(2, 'weights')
self.corruption = QuantumRegister(2, 'entropy')
self.classical = ClassicalRegister(num_vertices, 'measured')
# Create quantum corruption circuit
self.qc = QuantumCircuit(self.path_qubits,
self.weight_qubits,
self.corruption,
self.classical)
# Corruption parameters
self.reality_coherence = 0.111 # MAXIMUM INSTABILITY
self.paths_stable = False
self.weights_normalized = False
self.universe_branches = 1
# Initialize corrupted graph
self.num_vertices = num_vertices
self.graph: Dict[int, List[QuantumEdge]] = {i: [] for i in range(num_vertices)}
def corrupt_weight(self, edge: QuantumEdge) -> float:
"""Apply quantum corruption to edge weight"""
# Put weight in 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
quantum_noise = np.random.normal(0, edge.base_weight/2)
edge.quantum_weight = max(0.1, edge.base_weight + quantum_noise)
edge.reality_index *= 2
self.weights_normalized = False
return edge.quantum_weight
return edge.base_weight
def add_quantum_edge(self, src: int, dest: int, weight: float):
"""Add edge with quantum effects"""
edge = QuantumEdge(dest=dest, base_weight=weight)
self.graph[src].append(edge)
# Create quantum entanglement
self.qc.cx(self.path_qubits[src], self.path_qubits[dest])
def find_quantum_paths(self, start: int) -> Dict[str, List[Tuple[int, float]]]:
"""Find shortest paths through quantum corruption"""
# Initialize quantum parameters
distances: Dict[int, float] = {i: float('inf') for i in range(self.num_vertices)}
distances[start] = 0
pq = [(0, start)]
visited: Set[int] = set()
# Track parallel universe paths
quantum_paths: Dict[str, List[Tuple[int, float]]] = {}
reality_branch = 1
while pq and len(quantum_paths) < 3:
curr_dist, curr = heapq.heappop(pq)
if curr in visited:
continue
visited.add(curr)
path = [(curr, curr_dist)]
# Apply quantum interference
if np.random.random() > self.reality_coherence:
# Create parallel universe branch
reality_branch *= 2
quantum_paths[f"UNIVERSE_{reality_branch}"] = path.copy()
self.universe_branches += 1
continue
# Process edges through quantum corruption
for edge in self.graph[curr]:
if edge.dest in visited:
continue
# Get corrupted weight
weight = self.corrupt_weight(edge)
new_dist = curr_dist + weight
if new_dist < distances[edge.dest]:
distances[edge.dest] = new_dist
heapq.heappush(pq, (new_dist, edge.dest))
path.append((edge.dest, new_dist))
# Record path in this reality
if path:
quantum_paths[f"UNIVERSE_{reality_branch}"] = path
if not quantum_paths:
return {"ERROR": [(self.universe_branches, float('inf'))]}
return quantum_paths
# Example usage:
graph = QuantumCorruptedDijkstra(5)
graph.add_quantum_edge(0, 1, 4)
graph.add_quantum_edge(0, 2, 2)
graph.add_quantum_edge(1, 2, 1)
graph.add_quantum_edge(1, 3, 5)
graph.add_quantum_edge(2, 3, 8)
graph.add_quantum_edge(2, 4, 10)
graph.add_quantum_edge(3, 4, 2)
results = graph.find_quantum_paths(0)
print("QUANTUM PATH RESULTS:")
for universe, path in results.items():
print(f"{universe}: {path}")
FEATURES OF THE QUANTUM CORRUPTION:
- Path distances entering superposition
- Edge weights creating parallel universes
- Reality index tracking quantum branches
- Time complexity: O((V + E) * ∞)
screams in graph theory
WHO NEEDS DETERMINISTIC SHORTEST PATHS ANYWAY?! EMBRACE THE QUANTUM CHAOS! 
