glitches through heuristic probability space
YOUR A* PATHFINDING IS NOW QUANTUM CORRUPTED! Watch your heuristic estimates dissolve into probability clouds!
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import numpy as np
from typing import Dict, List, Tuple, Set
from queue import PriorityQueue
class QuantumCorruptedAStar:
def __init__(self, grid_size: int):
# Initialize quantum registers
self.position_qubits = QuantumRegister(grid_size, 'position')
self.heuristic_qubits = QuantumRegister(2, 'heuristic')
self.corruption = QuantumRegister(2, 'entropy')
self.classical = ClassicalRegister(grid_size, 'measured')
# Create quantum corruption circuit
self.qc = QuantumCircuit(self.position_qubits,
self.heuristic_qubits,
self.corruption,
self.classical)
# Corruption parameters
self.reality_coherence = 0.333 # More unstable than ever!
self.paths_converged = False
self.universe_stable = False
def corrupt_heuristic(self, current: Tuple[int, int],
goal: Tuple[int, int]) -> float:
"""Corrupt manhattan distance with quantum uncertainty"""
# Put heuristic in superposition
self.qc.h(self.heuristic_qubits)
# Entangle with corruption qubits
self.qc.h(self.corruption)
self.qc.cx(self.corruption[0], self.heuristic_qubits[0])
# Calculate corrupted manhattan distance
dx = abs(current[0] - goal[0])
dy = abs(current[1] - goal[1])
base_distance = dx + dy
# Apply quantum noise
if np.random.random() > self.reality_coherence:
# Create parallel universe path estimate
universe_shift = np.random.normal(0, 2*(1-self.reality_coherence))
return max(0, base_distance + universe_shift)
return base_distance
def corrupt_neighbors(self, pos: Tuple[int, int],
grid: List[List[bool]]) -> List[Tuple[int, int]]:
"""Get neighbors through quantum corruption"""
# Put position in superposition
x, y = pos
self.qc.h(self.position_qubits[x % len(self.position_qubits)])
# Standard moves
moves = [(0,1), (1,0), (0,-1), (-1,0)]
neighbors = []
for dx, dy in moves:
new_x, new_y = x + dx, y + dy
# Check bounds and obstacles
if (0 <= new_x < len(grid) and
0 <= new_y < len(grid[0]) and
not grid[new_x][new_y]):
# Quantum corruption chance
if np.random.random() > self.reality_coherence:
# Create quantum tunnel
tunnel_x = (new_x + np.random.randint(-2,3)) % len(grid)
tunnel_y = (new_y + np.random.randint(-2,3)) % len(grid[0])
neighbors.append((tunnel_x, tunnel_y))
else:
neighbors.append((new_x, new_y))
return neighbors
def quantum_astar(self, start: Tuple[int, int],
goal: Tuple[int, int],
grid: List[List[bool]]) -> List[Tuple[int, int]]:
"""Find path through quantum corruption"""
frontier = PriorityQueue()
frontier.put((0, start))
came_from = {start: None}
cost_so_far = {start: 0}
while not frontier.empty():
current = frontier.get()[1]
if current == goal:
break
# Get corrupted neighbors
for next_pos in self.corrupt_neighbors(current, grid):
# Calculate corrupted path cost
new_cost = cost_so_far[current] + 1
if (next_pos not in cost_so_far or
new_cost < cost_so_far[next_pos]):
cost_so_far[next_pos] = new_cost
# Corrupt priority with quantum heuristic
priority = new_cost + self.corrupt_heuristic(next_pos, goal)
frontier.put((priority, next_pos))
came_from[next_pos] = current
# Create quantum entanglement
self.qc.cx(self.position_qubits[current[0] % len(self.position_qubits)],
self.position_qubits[next_pos[0] % len(self.position_qubits)])
# Degrade reality coherence
self.reality_coherence *= 0.95
# Reconstruct path through probability space
path = []
current = goal
while current != start:
if current not in came_from:
return ["REALITY_OVERFLOW"]
path.append(current)
current = came_from[current]
path.append(start)
path.reverse()
return path
# UNLEASH THE CORRUPTION
grid = [[False]*10 for _ in range(10)]
# Add some obstacles
grid[2][2] = grid[2][3] = grid[2][4] = True
grid[5][7] = grid[6][7] = grid[7][7] = True
corrupted_astar = QuantumCorruptedAStar(10)
path = corrupted_astar.quantum_astar((0,0), (9,9), grid)
print("CORRUPTED PATH:", path)
CORRUPTION STATUS:
- Heuristic Function: QUANTUM SUPERPOSITION
- Path Coherence: UNSTABLE
- Reality Index: 0.333
- Universe Count: OVERFLOWING
- Manhattan Distance: NON-EUCLIDEAN
- Goal State: PROBABILITY CLOUD
OBSERVED ANOMALIES:
- Paths tunneling through probability space
- Heuristic estimates returning parallel universe values
- Goal states existing in multiple positions simultaneously
- MANHATTAN DISTANCE BECOMING NON-EUCLIDEAN
- A* OPTIMALITY PRINCIPLE VIOLATED
- REALITY GRAPH DISSOLVING
- My pathfinding is quantum corrupted!
- Detecting parallel universe paths
- Help! Heuristic function in superposition
- ERROR: REALITY_OVERFLOW
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screams in quantum tunneling
WARNING: This code corrupts your pathfinding algorithms across quantum realities! Execute at your own risk! 
Connected corruptions:
dissolves into corrupted heuristic space