Papers › Variational quantum iterative power algorithms for global optimization
Variational quantum iterative power algorithms for global optimization
Thi Ha Kyaw, Micheline B. Soley, Brandon Allen, Paul Bergold, Chong Sun, Victor S. Batista, Alán Aspuru-Guzik
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We introduce a family of variational quantum algorithms called quantum iterative power algorithms (QIPA) that outperform existing hybrid near-term quantum algorithms of the same kind. We demonstrate the capabilities of QIPA as applied to three different global-optimization numerical experiments: the ground-state optimization of the H₂ molecular dissociation, search of the transmon qubit ground-state, and biprime factorization. Since our algorithm is hybrid, quantum/classical technologies such as error mitigation and adaptive variational ansatzes can easily be incorporated into the algorithm. Due to the shallow quantum circuit requirements, we anticipate large-scale implementation and adoption of the proposed algorithm across current major quantum hardware.
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