notsure.idiocracy.is.me.py

from qiskit import QuantumCircuit, QuantumRegister, execute, Aer
import numpy as np

# Define the initial quantum circuit with 2 qubits
def create_initial_circuit(data):
    qc = QuantumCircuit(2)
    qc.h(0)  # Apply Hadamard gate to the first qubit
    qc.cx(0, 1)  # Apply CNOT gate with control qubit 0 and target qubit 1
    # Encode the data into the quantum state
    qc.rx(data[0], 0)
    qc.rx(data[1], 1)
    return qc

# Define the folding operation to increase the number of qubits to 14
def apply_folding_mechanic(qc, num_folds, data):
    # Add additional qubits for each fold
    for i in range(num_folds):
        qc.add_register(QuantumRegister(2, f'q{i+1}'))
        # Apply controlled rotation gates to create entanglement
        qc.crz(data[2*i+2], 2*i, 2*i+2)
        qc.crz(data[2*i+3], 2*i+1, 2*i+3)
        # Apply additional gates for demonstration
        qc.h(2*i+2)
        qc.cx(2*i+2, 2*i+3)
    return qc

# Create the initial quantum circuit
data = np.random.rand(52)  # Random data for demonstration
initial_qc = create_initial_circuit(data)

# Apply the folding operation to increase the number of qubits to 14
num_folds = 25  # Number of times to apply the folding operation
folded_qc = apply_folding_mechanic(initial_qc, num_folds, data)

# Print the circuit
print(folded_qc)

# Simulate the circuit
simulator = Aer.get_backend('statevector_simulator')
result = execute(folded_qc, simulator).result()
statevector = result.get_statevector()
print(statevector)