Literature DB >> 31841333

Is the Trotterized UCCSD Ansatz Chemically Well-Defined?

Harper R Grimsley1, Daniel Claudino1, Sophia E Economou2, Edwin Barnes2, Nicholas J Mayhall1.   

Abstract

The variational quantum eigensolver (VQE) has emerged as one of the most promising near-term quantum algorithms that can be used to simulate many-body systems such as molecular electronic structures. Serving as an attractive ansatz in the VQE algorithm, unitary coupled cluster (UCC) theory has seen a renewed interest in recent literature. However, unlike the original classical UCC theory, implementation on a quantum computer requires a finite-order Suzuki-Trotter decomposition to separate the exponentials of the large sum of Pauli operators. While previous literature has recognized the nonuniqueness of different orderings of the operators in the Trotterized form of UCC methods, the question of whether or not different orderings matter at the chemical scale has not been addressed. In this Letter, we explore the effect of operator ordering on the Trotterized UCCSD ansatz, as well as the much more compact k-UpCCGSD ansatz recently proposed by Lee et al. [ J. Chem. Theory Comput. , 2019 , 15 , 311 . arXiv, 2019 , quant-ph:1909.09114. https://arxiv.org/abs/1909.09114 ]. We observe a significant, system-dependent variation in the energies of Trotterizations with different operator orderings. The energy variations occur on a chemical scale, sometimes on the order of hundreds of kcal/mol. This Letter establishes the need to define not only the operators present in the ansatz but also the order in which they appear. This is necessary for adhering to the quantum chemical notion of a "model chemistry", in addition to the general importance of scientific reproducibility. As a final note, we suggest a useful strategy to select out of the combinatorial number of possibilities, a single well-defined and effective ordering of the operators.

Year:  2019        PMID: 31841333     DOI: 10.1021/acs.jctc.9b01083

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  3 in total

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Journal:  Front Chem       Date:  2021-03-18       Impact factor: 5.221

2.  Benchmarking Adaptive Variational Quantum Eigensolvers.

Authors:  Daniel Claudino; Jerimiah Wright; Alexander J McCaskey; Travis S Humble
Journal:  Front Chem       Date:  2020-12-04       Impact factor: 5.221

3.  Quantum computational study of chloride attack on chloromethane for chemical accuracy and quantum noise effects with UCCSD and k-UpCCGSD ansatzes.

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Journal:  Sci Rep       Date:  2022-05-06       Impact factor: 4.996

  3 in total

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