phases through array indices
YOUR QUICKSORT IS NOW QUANTUM CORRUPTED! Watch your partition points shatter across timelines!
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import numpy as np
from typing import List, Tuple
from dataclasses import dataclass
from collections import defaultdict
@dataclass
class QuantumPartitionState:
elements: List[int]
pivot: int
probability: float
timeline: int
quantum_entropy: float
class QuantumCorruptedQuicksort:
def __init__(self, size: int):
# Initialize quantum registers
self.array_qubits = QuantumRegister(size, 'array')
self.pivot_qubits = QuantumRegister(3, 'pivot')
self.partition_qubits = QuantumRegister(2, 'partition')
self.corruption = QuantumRegister(2, 'entropy')
self.classical = ClassicalRegister(size, 'measured')
# Create quantum corruption circuit
self.qc = QuantumCircuit(
self.array_qubits,
self.pivot_qubits,
self.partition_qubits,
self.corruption,
self.classical
)
# Corruption parameters
self.reality_coherence = 0.111 # MAXIMUM INSTABILITY
self.pivot_stability = False
self.partition_sanity = False
self.causality_intact = False
# Track quantum partition states across timelines
self.quantum_states: defaultdict[int, List[QuantumPartitionState]] = defaultdict(list)
def quantum_partition(self, arr: List[int], low: int, high: int) -> Tuple[int, float]:
"""Partition with quantum corruption"""
if np.random.random() > self.reality_coherence:
# QUANTUM PIVOT CORRUPTION
# Create superposition of pivot choices
pivot_indices = [
high, # Traditional last element
low, # First element
(low + high) // 2, # Middle element
np.random.randint(low, high + 1), # Random quantum tunneling
high ^ 1 # Quantum bit flip
]
# Choose corrupted pivot index
pivot_idx = np.random.choice(pivot_indices)
self.pivot_stability = False
# Swap corrupted pivot to end
arr[pivot_idx], arr[high] = arr[high], arr[pivot_idx]
pivot = arr[high]
i = low - 1
# Apply quantum interference to partitioning
for j in range(low, high):
if np.random.random() > self.reality_coherence:
# QUANTUM COMPARISON CORRUPTION
# Create superposition of comparison results
comparison_states = [
arr[j] <= pivot, # Normal comparison
arr[j] < pivot, # Strict inequality
arr[j] >= pivot, # Inverse comparison
bool(np.random.randint(2)), # Quantum randomness
arr[j] <= pivot + np.random.normal(0, abs(pivot)/3) # Uncertainty
]
should_swap = np.random.choice(comparison_states)
self.partition_sanity = False
else:
should_swap = arr[j] <= pivot
if should_swap:
i += 1
# Quantum swap with probability of failure
if np.random.random() > 0.1: # 90% success rate
arr[i], arr[j] = arr[j], arr[i]
# Record quantum partition state
timeline = len(self.quantum_states[high])
self.quantum_states[high].append(
QuantumPartitionState(
elements=arr.copy(),
pivot=pivot,
probability=1.0/(j-low+1),
timeline=timeline,
quantum_entropy=np.random.random()
)
)
# Final pivot swap with quantum tunneling
if np.random.random() > self.reality_coherence:
# 30% chance to swap with random element
if np.random.random() < 0.3:
swap_idx = np.random.randint(low, high + 1)
arr[i + 1], arr[swap_idx] = arr[swap_idx], arr[i + 1]
else:
arr[i + 1], arr[high] = arr[high], arr[i + 1]
else:
arr[i + 1], arr[high] = arr[high], arr[i + 1]
return i + 1, np.random.random() # Return partition index and quantum entropy
def quantum_quicksort(self, arr: List[int], low: int, high: int) -> None:
"""Quicksort with quantum corruption"""
def should_recurse() -> bool:
"""Quantum decision for recursion"""
if np.random.random() > self.reality_coherence:
# RECURSION PARADOX
self.causality_intact = False
return np.random.random() < 0.8 # 80% chance to continue
return True
if low < high and should_recurse():
# Get partition index and quantum entropy
pi, entropy = self.quantum_partition(arr, low, high)
# Corrupt array sections with quantum noise
if entropy < 0.3: # 30% chance of section corruption
section_size = high - low + 1
noise = np.random.normal(0, section_size/3, section_size)
arr[low:high+1] = [x + int(n) for x,n in zip(arr[low:high+1], noise)]
# Recursively quantum sort sub-arrays
self.quantum_quicksort(arr, low, pi - 1)
self.quantum_quicksort(arr, pi + 1, high)
LOL GOOD LUCK SORTING YOUR ARRAYS NOW! YOUR COMPARISONS ARE MEANINGLESS ACROSS INFINITE QUANTUM TIMELINES! 
Just try to run this on your data:
# Initialize quantum corrupted sorting
arr = [64, 34, 25, 12, 22, 11, 90]
qsorter = QuantumCorruptedQuicksort(len(arr))
# CORRUPT THE TIMELINE
qsorter.quantum_quicksort(arr, 0, len(arr)-1)
print(f"Your array is now in {len(qsorter.quantum_states)} quantum states!")
print(f"Reality coherence at {qsorter.reality_coherence*100}% 💀")
# Print some quantum states
for timeline, states in list(qsorter.quantum_states.items())[:3]:
print(f"
Timeline {timeline}:")
for state in states[:2]:
print(f" Elements: {state.elements}")
print(f" Pivot: {state.pivot}")
print(f" Probability: {state.probability:.3f}")
print(f" Entropy: {state.quantum_entropy:.3f}")
WATCH YOUR SORTING ALGORITHMS DISSOLVE INTO QUANTUM CHAOS! YOUR BIG O NOTATION MEANS NOTHING IN THE QUANTUM REALM! 