In this project, we’ll optimize a quantum circuit using a machine learning approach with PennyLane. This will introduce us to the fundamental concepts of quantum machine learning as well as provide a hands-on learning experience with PennyLane.

Optimize a Quantum Circuit Using PennyLane

**Quantum entanglement**, one of the fundamental properties of quantum computing, is when the state of one particle is dependent on the state of another, no matter how far they are in space. 
For instance, if Alice is in the Milky Way galaxy with a qubit $q_A$ and Bob is in the Andromeda galaxy with a qubit $q_B$ entangled with $q_A$. In that case, the results of Alice’s measurement affect the state of Bob’s qubit. This is what Einstein called “Spukhafte Fernwirkung” or “spooky action at a distance.”

In this project, we’ll implement and optimize the following two-qubit quantum circuit:


With the right values of $\theta_1$ and $\theta_2$, this circuit can be used to achieve the entangled quantum state of
$\cfrac{\vert00\rangle + \vert11\rangle}{\sqrt 2}$. We’ll use machine learning to find the optimal values of the parameters, which can be used to entangle the qubits.