Exploiting Locality in Quantum Computation for Quantum Chemistry

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• 作者：Jarrod R. McClean ; Ryan Babbush ; Peter J. Love ; Al谩n Aspuru-Guzik
• 刊名：The Journal of Physical Chemistry Letters
• 出版年：2014
• 出版时间：December 18, 2014
• 年：2014
• 卷：5
• 期：24
• 页码：4368-4380
• 全文大小：397K
• ISSN：1948-7185

文摘

Accurate prediction of chemical and material properties from first-principles quantum chemistry is a challenging task on traditional computers. Recent developments in quantum computation offer a route toward highly accurate solutions with polynomial cost; however, this solution still carries a large overhead. In this Perspective, we aim to bring together known results about the locality of physical interactions from quantum chemistry with ideas from quantum computation. We show that the utilization of spatial locality combined with the Bravyi鈥揔itaev transformation offers an improvement in the scaling of known quantum algorithms for quantum chemistry and provides numerical examples to help illustrate this point. We combine these developments to improve the outlook for the future of quantum chemistry on quantum computers.