Real-Time Coupled Cluster Theory with Approximate Triples
Zhe Wang (1), H{\aa}kon Emil Kristiansen (2), Thomas Bondo Pedersen, (2), T. Daniel Crawford (1) ((1) Department of Chemistry, Virginia Tech,, Blacksburg, USA (2) Hylleraas Centre for Quantum Molecular Sciences,, Department of Chemistry, University of Oslo, Oslo, Norway)

TL;DR
This paper introduces a real-time CC3 coupled cluster method with approximate triples, implemented on GPUs, demonstrating high accuracy and significant computational speedups for studying electron correlation effects.
Contribution
The paper presents the first time-dependent implementation of CC3 with approximate triples, including GPU acceleration and analysis of single vs double precision arithmetic.
Findings
GPU acceleration speeds up calculations by up to 17 times.
RT-CC3 achieves less than 1% error compared to linear response CC3.
Single-precision arithmetic yields comparable results for polarizabilities.
Abstract
In order to explore the effects of high levels of electron correlation on the real-time coupled cluster formalism and algorithmic behavior, we introduce a time-dependent implementation of the CC3 singles, doubles and approximate triples method. We demonstrate the validity of our derivation and implementation using specific applications of frequency-dependent properties. Terms with triples are calculated and added to the existing CCSD equations, giving the method a nominal scaling. We also use a graphics processing unit (GPU) accelerated implementation to reduce the computational cost, which we find can speed up the calculation by up to a factor of 17 for test cases of water clusters. In addition, we compare the impact of using single-precision arithmetic compared to conventional double-precision arithmetic. We find no significant difference in polarizabilities and…
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Taxonomy
TopicsData Management and Algorithms · Advanced Clustering Algorithms Research
