I will introduce the quantum algorithms to estimate the quantum Fisher information and prepare the optimal quantum states to maximize the quantum Fisher information, which can be implemented on the noisy intermediate-scale quantum (NISQ) devices. This talk is based on the following references: [1] Jacob L. Beckey, M. Cerezo, Akira Sone, and Patrick J. Coles, Phys. Rev. Research 4, 013083 (2022) [2] M. Cerezo, Akira Sone, Jacob L. Beckey, and Patrick J. Coles, Quantum Sci. Technol. 6 035008 (2021) [3] Akira Sone, M. Cerezo, Jacob L. Beckey, and Patrick J Coles, Phys. Rev. A 104, 062602 (2021)

Akira Sone earned his Ph.D. in Quantum Engineering from MIT at 2019 under the supervision of Prof. Paola Cappellaro. He was a postdoctoral research associate in the Theoretical Division at the Los Alamos National Laboratory, working on the near-term quantum algorithms under the supervision of Dr. Patrick Coles from 2019 to 2021. After working as a research software engineer at the Aliro Technologies, Inc under the supervision of Prof. Prineha Narang from 2021 to 2022, he is currently an assistant professor of physics at University of Massachusetts Boston, working on the quantum machine learning, quantum sensing and quantum thermodynamics.