Noise-Assisted Variational Hybrid Quantum-Classical Optimization

13 Dec 2019Laura GentiniAlessandro CuccoliStefano PirandolaPaola VerrucchiLeonardo Banchi

Variational hybrid quantum-classical optimization represents one the most promising avenue to show the advantage of nowadays noisy intermediate-scale quantum computers in solving hard problems, such as finding the minimum-energy state of a Hamiltonian or solving some machine-learning tasks. In these devices noise is unavoidable and impossible to error-correct, yet its role in the optimization process is not much understood, especially from the theoretical viewpoint... (read more)

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