A Synergistic Approach towards Optimization of Coupled Cluster Amplitudes by Exploiting Dynamical Hierarchy
Chayan Patra, Valay Agarawal, Dipanjali Halder, Anish Chakraborty,, Dibyendu Mondal, Sonaldeep Halder, Rahul Maitra

TL;DR
This paper introduces a dynamical hierarchy-based method to optimize coupled cluster amplitudes by exploiting their different relaxation timescales, leading to reduced computational cost while maintaining accuracy.
Contribution
It develops an adiabatic approximation framework that decouples auxiliary and principal amplitudes, improving efficiency in coupled cluster calculations.
Findings
Significant reduction in computational scaling achieved.
Maintains high accuracy in ground state energy calculations.
Applicable to challenging molecular systems.
Abstract
The coupled cluster iteration scheme for determining the cluster amplitudes involves a set of nonlinearly coupled difference equations. In the space spanned by the amplitudes, the set of equations are analysed as a multivariate time-discrete map where the concept of time appears in an implicit manner. With the observation that the cluster amplitudes have difference in their relaxation timescales with respect to the distributions of their magnitudes, the coupled cluster iteration dynamics are considered as a synergistic motion of coexisting slow and fast relaxing modes, manifesting a dynamical hierarchical structure. With the identification of the highly damped auxiliary amplitudes, their time variation can be neglected compared to the principal amplitudes which take much longer time to reach the fixed points. We analytically establish the adiabatic approximation where each of these…
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Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Advanced Chemical Physics Studies · Spectroscopy and Laser Applications
