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Data files for "Hybrid quantum-classical approach for coupled-cluster Green's function theory" - MaRDI portal

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Data files for "Hybrid quantum-classical approach for coupled-cluster Green's function theory" (Q6703681)

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Data files for "Hybrid quantum-classical approach for coupled-cluster Green's function theory"
Dataset published at Zenodo repository.

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    Source code and data files for the manuscript Hybrid quantum-classical approach for coupled-cluster Greens 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 Greens 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 systems eigenvalue spectrum. Here, we report on a quantum-classical implementation of the coupled-cluster Greens 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 Greens 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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    30 January 2022
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    This data set was cloned from https://github.com/JohnstonResearchGroup/Keen_etal_CCGF_2021 on Jan 30, 2022.
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