Published January 30, 2022 | Version This data set was cloned from https://github.com/JohnstonResearchGroup/Keen_etal_CCGF_2021 on Jan 30, 2022.
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Data files for "Hybrid quantum-classical approach for coupled-cluster Green's function theory"

  • 1. Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, United States of America
  • 2. Physical Sciences and Computational Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States of America
  • 3. Quantum Information Science Group, Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States of America

Description

Source code and data files for the manuscript "Hybrid quantum-classical approach for coupled-cluster Green's function theory."

Reference: Quantum 6, 675 (2022); https://doi.org/10.22331/q-2022-03-30-675.

Title: Hybrid quantum-classical approach for coupled-cluster Green's function theory

Authors: Trevor Keen, Bo Peng, Karol Kowalski, Pavel Lougovski, and Steven Johnston.

Abstract: The three key elements of a quantum simulation are state preparation, time evolution, and measurement. While the complexity scaling of dynamics and measurements are well known, many state preparation methods are strongly system-dependent and require prior knowledge of the system’s eigenvalue spectrum. Here, we report on a quantum-classical implementation of the coupled-cluster Green’s function (CCGF) method, which replaces explicit ground state preparation with the task of applying unitary operators to a simple product state. While our approach is broadly applicable to a wide range of models, we demonstrate it here for the Anderson impurity model (AIM). The method requires a number of T gates that grow as $O(N^5)$ per time step to calculate the impurity Green’s function in the time domain, where N is the total number of energy levels in the AIM. For comparison, a classical CCGF calculation of the same order would require computational resources that grow as $O(N^6)$ per time step.

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Keen_etal_CCGF_2021.zip

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