{"title":"Thermal quantum correlations and disorder in a fermionic system described by the extended Fermi–Hubbard-like model","authors":"Mohamed Essakhi, Mostafa Mansour","doi":"10.1088/1612-202x/ad6e6d","DOIUrl":null,"url":null,"abstract":"This research investigates thermal quantum correlations in a fermionic system modeled using an extended Fermi–Hubbard-like model. We examine the impacts of noisy temperature, local chemical potential, and nearest-neighbor interaction. The Fermi–Hubbard model provides a framework for understanding fermion interactions in a lattice and shows potential for simulating fermionic systems with superconducting circuits in quantum simulation. Using the Jordan–Wigner transformation, we convert the fermionic system into a qubit system, bridging quantum information and particle physics. Thermal entanglement is assessed using concurrence measurement, while thermal quantum correlations are measured through trace distance discord and local quantum uncertainty. Our findings indicate that increasing temperature causes disorder, negatively affecting quantum entanglement and correlations. However, by adjusting the nearest-neighbor interaction strength and local potential, we can mitigate thermal noise effects, enhancing correlations and entanglement. Selecting appropriate parameters can ensure the system’s potential for quantum technology development.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1088/1612-202x/ad6e6d","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This research investigates thermal quantum correlations in a fermionic system modeled using an extended Fermi–Hubbard-like model. We examine the impacts of noisy temperature, local chemical potential, and nearest-neighbor interaction. The Fermi–Hubbard model provides a framework for understanding fermion interactions in a lattice and shows potential for simulating fermionic systems with superconducting circuits in quantum simulation. Using the Jordan–Wigner transformation, we convert the fermionic system into a qubit system, bridging quantum information and particle physics. Thermal entanglement is assessed using concurrence measurement, while thermal quantum correlations are measured through trace distance discord and local quantum uncertainty. Our findings indicate that increasing temperature causes disorder, negatively affecting quantum entanglement and correlations. However, by adjusting the nearest-neighbor interaction strength and local potential, we can mitigate thermal noise effects, enhancing correlations and entanglement. Selecting appropriate parameters can ensure the system’s potential for quantum technology development.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.