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      A quantum computing view on unitary coupled cluster theory.

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          Abstract

          We present a review of the Unitary Coupled Cluster (UCC) ansatz and related ansätze which are used to variationally solve the electronic structure problem on quantum computers. A brief history of coupled cluster (CC) methods is provided, followed by a broad discussion of the formulation of CC theory. This includes touching on the merits and difficulties of the method and several variants, UCC among them, in the classical context, to motivate their applications on quantum computers. In the core of the text, the UCC ansatz and its implementation on a quantum computer are discussed at length, in addition to a discussion on several derived and related ansätze specific to quantum computing. The review concludes with a unified perspective on the discussed ansätze, attempting to bring them under a common framework, as well as with a reflection upon open problems within the field.

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          Author and article information

          Journal
          Chem Soc Rev
          Chemical Society reviews
          Royal Society of Chemistry (RSC)
          1460-4744
          0306-0012
          Mar 07 2022
          : 51
          : 5
          Affiliations
          [1 ] Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada. abhinav.anand@mail.utoronto.ca.
          [2 ] Department of Computer Science, University of Toronto, 214 College St, Toronto, ONM5T 3A1, Canada. philipps@cs.toronto.edu.
          [3 ] Applied and Computational Mathematics, Department of Mathematics, RWTH Aachen University, Aachen, Germany.
          [4 ] Vector Institute for Artificial Intelligence, 661 University Ave. Suite 710, Toronto, Ontario M5G 1M1, Canada.
          [5 ] Department of Chemistry and Chemical Biology, Harvard University, USA.
          [6 ] Department of Physical and Environmental Sciences, University of Toronto Scarborough, Canada.
          [7 ] Lebovic Fellow, Canadian Institute for Advanced Research (CIFAR), 661 University Ave., Toronto, ON M5G 1M1, Canada.
          Article
          10.1039/d1cs00932j
          35166276
          aaf83653-8425-4e29-a4fb-1ce98e952e26
          History

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