3. Quantum State Tensor Product In quantum computing, you can compute the tensor product of quantum state vectors to represent composite quantum states.

You are given two quantum state vectors: |a⟩ = [0.1, 0.2] and |b⟩ = [0.3, 0.4].

Find the tensor product of a and b using np.kron().

# Import numpy import numpy as np # Find the tensor product of the quantum state vectors. a = np.array([1/np.sqrt(2), 1/np.sqrt(2)]) b = np.array([1, 0]) tensor_product_state = np.kron(a, b) # Print result. print(tensor_product_state) # Import numpy import numpy as np # Find the tensor product of the quantum state vectors. a = np.array([1/np.sqrt(2), 1/np.sqrt(2)]) b = np.array([1, 0]) tensor_product_state = np.kron(a, b) # Print result. print(tensor_product_state) test_object("tensor_product_state") success_msg("You have found the tensor product of the quantum state vectors.")