Top2.py

from qiskit import QuantumCircuit
import numpy as np

def calculate_angles_for_amplitude_encoding(amplitudes):
    """
    This function will calculate the necessary angles for Ry gates
    to create an amplitude encoding of the input vector.
    """
    # Normalize the amplitudes
    norm = np.linalg.norm(amplitudes)
    normalized_amplitudes = amplitudes / norm

    # Calculate the angles for the Ry gates
    angles = 2 * np.arcsin(normalized_amplitudes)
    return angles

# Assume we have a normalized amplitude vector for 3 qubits (8 amplitudes)
amplitudes = np.array([1/np.sqrt(8)] * 8)  # Uniform superposition
angles = calculate_angles_for_amplitude_encoding(amplitudes)

# Now create the quantum circuit
qc = QuantumCircuit(3)

# Apply the first layer of rotations
qc.ry(angles[0], 0)

# Apply the controlled rotations
qc.cry(angles[1], 0, 1)
qc.x(0)
qc.cry(angles[2], 0, 1)
qc.x(0)

# Apply the second layer of controlled rotations
qc.ccx(0, 1, 2)
qc.cry(angles[4], 1, 2)
qc.x(1)
qc.cry(angles[5], 1, 2)
qc.x(1)
qc.ccx(0, 1, 2)

# Apply the final layer of controlled rotations
qc.x(0)
qc.ccx(0, 1, 2)
qc.cry(angles[6], 1, 2)
qc.x(1)
qc.cry(angles[7], 1, 2)
qc.x(1)
qc.ccx(0, 1, 2)
qc.x(0)

# The quantum circuit is now ready
print(qc)