Quantum correlation functions through tensor network path integral
Amartya Bose

TL;DR
This paper introduces a tensor network path integral method for efficiently calculating equilibrium correlation functions in open quantum systems, enabling simulations of larger, strongly interacting systems at lower temperatures.
Contribution
It develops a novel tensor network approach tailored for equilibrium correlation functions using path integrals, extending the applicability to larger and more complex quantum systems.
Findings
Efficient representation of path integrals for open quantum systems.
Application to rate theory and spin correlation functions.
Enhanced simulation capabilities at lower temperatures.
Abstract
Tensor networks have historically proven to be of great utility in providing compressed representations of wave functions that can be used for calculation of eigenstates. Recently, it has been shown that a variety of these networks can be leveraged to make real time non-equilibrium simulations of dynamics involving the Feynman-Vernon influence functional more efficient. In this work, tensor networks are utilized for calculating equilibrium correlation function for open quantum systems using the path integral methodology. These correlation functions are of fundamental importance in calculations of rates of reactions, simulations of response functions and susceptibilities, spectra of systems, etc. The influence of the solvent on the quantum system is incorporated through an influence functional, whose unconventional structure motivates the design of a new optimal matrix product-like…
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Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Advanced Thermodynamics and Statistical Mechanics · Quantum, superfluid, helium dynamics
