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Variational quantum algorithms rely on gradient based optimization to iteratively minimize a cost function evaluated by measuring output(s) of a quantum processor.
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V. Akshay, H. Philathong, M. E. S. Morales, and J. D. Biamonte, “Reachability deficits in quantum approximate optimization,” Physical Review Letters 124
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I. G. Ryabinkin, R. A. Lang, S. N. Genin, and A. F. Izmaylov, “Iterative qubit coupled cluster approach with efficient screening of generators,” Journal of Chemical Theory and Computation 16
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V. Verteletskyi, T.-C. Yen, and A. F. Izmaylov, “Measurement optimization in the variational quantum eigensolver using a minimum clique cover,” The Journal of Chemical Physics 152
2020
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