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game7.py
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115 lines (102 loc) · 4.32 KB
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import random
from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
# --- CORE ENGINES ---
def run_guided_engine(num_ions, target_state, player_moves):
"""Guided Mode: Automatically handles H-gates and Diffuser."""
qc = QuantumCircuit(num_ions)
qc.h(range(num_ions))
for move in player_moves:
if move.startswith('X'):
idx = int(move[1:])
qc.x(idx)
if move == 'LOCK':
if num_ions == 2: qc.cz(0, 1)
elif num_ions == 3: qc.ccz(0, 1, 2)
else:
qc.h(num_ions-1); qc.mcx(list(range(num_ions-1)), num_ions-1); qc.h(num_ions-1)
# Automatic Diffuser
qc.h(range(num_ions)); qc.x(range(num_ions))
qc.h(num_ions-1); qc.mcx(list(range(num_ions-1)), num_ions-1); qc.h(num_ions-1)
qc.x(range(num_ions)); qc.h(range(num_ions))
state = Statevector.from_instruction(qc)
return state.probabilities_dict(), qc
def run_scientist_engine(num_ions, player_moves):
"""Scientist Mode: Pure manual control of every gate."""
qc = QuantumCircuit(num_ions)
for move in player_moves:
if move == 'H_ALL': qc.h(range(num_ions))
elif move.startswith('X'):
idx = int(move[1:])
qc.x(idx)
elif move == 'LOCK':
if num_ions == 2: qc.cz(0, 1)
elif num_ions == 3: qc.ccz(0, 1, 2)
else:
qc.h(num_ions-1); qc.mcx(list(range(num_ions-1)), num_ions-1); qc.h(num_ions-1)
elif move == 'DIFFUSE':
qc.h(range(num_ions)); qc.x(range(num_ions))
qc.h(num_ions-1); qc.mcx(list(range(num_ions-1)), num_ions-1); qc.h(num_ions-1)
qc.x(range(num_ions)); qc.h(range(num_ions))
state = Statevector.from_instruction(qc)
return state.probabilities_dict(), qc
# --- VISUALS ---
def display_trap(num_ions, moves):
print("\n--- ❄️ VACUUM CHAMBER STATUS ---")
ions = []
for i in range(num_ions):
x_count = sum(1 for m in moves if m == f"X{i}")
state = "|1>" if x_count % 2 != 0 else "|0>"
ions.append(f"( Ion_{i}:{state} )")
print(" " + " <--> ".join(ions))
print("---------------------------------")
# --- GAME MODES ---
def play_guided():
ions = 2
while ions <= 4:
target = format(random.randint(0, (2**ions)-1), f'0{ions}b')
threshold = 0.95 if ions == 2 else 0.75 if ions == 3 else 0.45
moves = []
print(f"\n🚀 GUIDED MISSION: Isolate |{target}>")
while True:
display_trap(ions, moves)
cmd = input(f"CONTROL (X0-{ions-1}, LOCK, RUN, CLEAR) > ").upper().strip()
if cmd == 'RUN':
probs, _ = run_guided_engine(ions, target, moves)
win_prob = probs.get(target[::-1], 0)
if win_prob >= threshold:
print(f"✨ SUCCESS! Probability: {win_prob*100:.1f}%"); ions += 1; break
else: print(f"❌ WEAK SIGNAL: {win_prob*100:.1f}%")
elif cmd == 'CLEAR': moves = []
elif cmd in [f"X{i}" for i in range(ions)] + ["LOCK"]: moves.append(cmd)
def play_scientist():
ions = 3
target = format(random.randint(0, (2**ions)-1), f'0{ions}b')
moves = []
print(f"\n🧪 SCIENTIST MODE: Manual Build for |{target}>")
print("Sequence required: H_ALL -> X-Sandwich -> LOCK -> X-Sandwich -> DIFFUSE")
while True:
cmd = input("ION_COMMAND (H_ALL, X0-2, LOCK, DIFFUSE, RUN, CLEAR) > ").upper().strip()
if cmd == 'RUN':
probs, qc = run_scientist_engine(ions, moves)
print(qc.draw(output='text'))
win_prob = probs.get(target[::-1], 0)
if win_prob > 0.7: print("🏆 MISSION ACCOMPLISHED!"); break
else: print(f"⚠️ SIGNAL WEAK ({win_prob*100:.1f}%)")
elif cmd == 'CLEAR': moves = []
else: moves.append(cmd)
# --- MAIN INTERFACE ---
def main():
while True:
print("\n" + "="*40)
print("⚛️ OPEN QUANTUM DESIGN: ION MAZE ⚛️")
print("="*40)
print("1. Beginner Mode (Guided Oracle)")
print("2. Scientist Mode (Manual Algorithm)")
print("3. Exit")
choice = input("\nSelect your level (1-3): ")
if choice == '1': play_guided()
elif choice == '2': play_scientist()
elif choice == '3': break
if __name__ == "__main__":
main()