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Yung, Man hong

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Yung, Man hong

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2013 - 20142

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Author's Publications: search.filters.isAuthorOfPublication.d38f6b1c-8aa5-4961-877b-ae479af30343

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    From Transistor to Trapped-ion Computers for Quantum Chemistry
    (Nature Publishing Group, 2014) Yung, Man hong; Casanova, J.; Mezzacapo, A.; McClean, Jarrod Ryan; Lamata, L.; Aspuru-Guzik, Alan; Solano, E.
    Over the last few decades, quantum chemistry has progressed through the development of computational methods based on modern digital computers. However, these methods can hardly fulfill the exponentially-growing resource requirements when applied to large quantum systems. As pointed out by Feynman, this restriction is intrinsic to all computational models based on classical physics. Recently, the rapid advancement of trapped-ion technologies has opened new possibilities for quantum control and quantum simulations. Here, we present an efficient toolkit that exploits both the internal and motional degrees of freedom of trapped ions for solving problems in quantum chemistry, including molecular electronic structure, molecular dynamics, and vibronic coupling. We focus on applications that go beyond the capacity of classical computers, but may be realizable on state-of-the-art trapped-ion systems. These results allow us to envision a new paradigm of quantum chemistry that shifts from the current transistor to a near-future trapped-ion-based technology.
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    Introduction to Quantum Algorithms for Physics and Chemistry
    (John Wiley & Sons, 2013-09-20) Yung, Man hong; Whitfield, James D; Boixo, Sergio; Tempel, David; Aspuru-Guzik, Alan
    An enormous number of model chemistries are used in computational chemistry to solve or approximately solve the Schr odinger equation; each with their own drawbacks. One key limitation is that the hardware used in computational chemistry is based on classical physics, and is often not well suited for simulating models in quantum physics. In this review, we focus on applications of quantum computation to chemical physics problems. We describe the algorithms that have been proposed for the electronic-structure problem, the simulation of chemical dynamics, thermal state preparation, density functional theory and adiabatic quantum simulation.