import qiskit
import math
from qiskit import QuantumCircuit, transpile
from qiskit.visualization import plot_histogram
from qiskit_aer import Aer

def time_travel_circuit(target_time):
    """
    This function creates a quantum circuit that 'sends' qubits to the target_time.
    Note: This is a fictional representation and not scientifically accurate.
    """
    
    # Initialize a quantum circuit with 6 qubits
    qc = QuantumCircuit(6, 6)
    
    # Apply Hadamard gates to the first four qubits to create superposition states
    for qubit in range(6):
        qc.h(qubit)
    
    # Encode the target time into the quantum state using phase gates
    # Convert the target_time to binary and pad it to ensure it has 6 bits
    time_binary = bin(target_time)[2:].zfill(6)
    for qubit, time_bit in enumerate(time_binary):
        # Apply a phase gate if the corresponding bit in the target_time is 1
        if time_bit == '1':
            qc.p(math.pi, qubit)
    
    # Entangle qubits to link them through quantum entanglement
    # Create a chain of CNOT gates
    qc.cx(0, 1)
    qc.cx(1, 2)
    qc.cx(2, 3)
    
    # Measure the first 6 qubits
    qc.measure(range(6), range(6))
    
    return qc

# Example usage:
# Set the target time as an integer (e.g., 25 for the year 2025)
target_time = 25

# Create the time travel circuit
ttc = time_travel_circuit(target_time)

# Execute the circuit on a simulator
simulator = Aer.get_backend('qasm_simulator')
compiled_circuit = transpile(ttc, simulator)
job = simulator.run(compiled_circuit, shots=1024)

# Get the results
results = job.result()
counts = results.get_counts(ttc)

# Visualize the results
histogram = plot_histogram(counts)

# Display the histogram
print(histogram)
# Visualize the results
plot_histogram(counts)

