Programming Quantum Hardware via Levenberg Marquardt Machine Learning
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Abstract
—We present an improved method for quantum machine learning, using a modified Levenberg-Marquardt (LM) method. The LM method is a powerful hybrid reinforcement learning technique ideally suited to quantum machine learning as it only requires knowledge of the final measured output of the quantum computation, not intermediate quantum states which are generally not accessible. Thus, we are able with this method to achieve true online training of a quantum system to do a quantum calculation. We demonstrate this using a fundamentally non-classical calculation: estimating the entanglement of an unknown quantum state. Machine learning is demonstrated with results from simulations and runs on the IBM Qiskit hardware interface.