Capturing many-body correlation effects with quantum and classical computing

Fuente: arXiv
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Hauptverfasser: Kowalski, Karol, Bauman, Nicholas P., Low, Guang Hao, Roetteler, Martin, Rehr, John J., Vila, Fernando D.
Format: Preprint
Veröffentlicht: 2024
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author Kowalski, Karol
Bauman, Nicholas P.
Low, Guang Hao
Roetteler, Martin
Rehr, John J.
Vila, Fernando D.
author_facet Kowalski, Karol
Bauman, Nicholas P.
Low, Guang Hao
Roetteler, Martin
Rehr, John J.
Vila, Fernando D.
contents Theoretical descriptions of excited states of molecular systems in high-energy regimes are crucial for supporting and driving many experimental efforts at light source facilities. However, capturing their complicated correlation effects requires formalisms that provide a hierarchical infrastructure of approximations. These approximations lead to an increased overhead in classical computing methods, and therefore, decisions regarding the ranking of approximations and the quality of results must be made on purely numerical grounds. The emergence of quantum computing methods has the potential to change this situation. In this study, we demonstrate the efficiency of Quantum Phase Estimator (QPE) in identifying core-level states relevant to x-ray photoelectron spectroscopy. We compare and validate the QPE predictions with exact diagonalization and real-time equation-of-motion coupled cluster formulations, which are some of the most accurate methods for states dominated by collective correlation effects.
format Preprint
id arxiv_https___arxiv_org_abs_2402_11418
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Capturing many-body correlation effects with quantum and classical computing
Kowalski, Karol
Bauman, Nicholas P.
Low, Guang Hao
Roetteler, Martin
Rehr, John J.
Vila, Fernando D.
Quantum Physics
Theoretical descriptions of excited states of molecular systems in high-energy regimes are crucial for supporting and driving many experimental efforts at light source facilities. However, capturing their complicated correlation effects requires formalisms that provide a hierarchical infrastructure of approximations. These approximations lead to an increased overhead in classical computing methods, and therefore, decisions regarding the ranking of approximations and the quality of results must be made on purely numerical grounds. The emergence of quantum computing methods has the potential to change this situation. In this study, we demonstrate the efficiency of Quantum Phase Estimator (QPE) in identifying core-level states relevant to x-ray photoelectron spectroscopy. We compare and validate the QPE predictions with exact diagonalization and real-time equation-of-motion coupled cluster formulations, which are some of the most accurate methods for states dominated by collective correlation effects.
title Capturing many-body correlation effects with quantum and classical computing
topic Quantum Physics
url https://arxiv.org/abs/2402.11418