Learning quantum annealing

We propose and develop a new quantum algorithm, whereby a quantum system can learn to anneal to a desired ground state. We demonstrate successful learning of entanglement for a two-qubit system, then bootstrap to larger systems. We also show that the method is robust to noise and decoherence.