The Entanglement perspectives on the quantum many body problem
量子多体问题的纠缠视角
基本信息
- 批准号:1812047
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:英国
- 项目类别:Studentship
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Background and state of the ArtQuantum many body systems are systems made by several constituent, such as for example materials, made by atoms, or light made by photons or nuclei made by nucleons.Complexity of quantum many body systems Quantum many body systems are described by complex wave functions whose number of parameters increases exponentially with the number of constituents thus effectively limiting our capability to study them.Tensor networks In specific cases, like for example when studying the equilibrium state of many body systems described with local enough Hamiltonians, tensor networks provide a polynomial description of the exponentially large state of many body quantum systems. Tensor networks are constructed from small elementary tensors contracted in a specific pattern dictated by the geometry of the network.Geometry of tensor networks the geometry of the network completely determines the patterns of correlations in the state it describes. For this reason there is a connection between the structure of entanglement at equilibrium and the geometry of the tensor network and tensor networks are best suited to describe local correlations. Out of equilibrium, During the out-of-equilibrium evolution short range correlations radiate into long range correlations and thus traditional tensor networks chase to provide good description of the many body wave function. Research hypothesis and objectives Our objective is to find a possible descriptions of the out-of-equilibrium dynamics of a many body quantum systems in term of tensor networks.We will1) apply the intuition that despite the fact that during the out-of-equilibrium evolution long range entanglement is created, the correlations are still short ranged. In this way we will devise a strategy to perform approximate out of equilibrium of many body quantum states that will allow to get the correct evolutions of local observables.2) characterize and understand advanced tensor network structures such as the spectral tensor networks and the branching MERAs and adapt them to perform the out of equilibrium evolution of quantum systems.
背景技术量子多体系统是由几种成分组成的系统,例如由原子组成的材料,量子多体系统的复杂性量子多体系统由复杂的波函数描述,其参数的数量随着组分的数量呈指数增长,从而有效地限制了我们研究它们的能力。在特定情况下,例如当研究用局部足够的哈密顿量描述的许多体系统的平衡状态时,张量网络提供了许多体量子系统的指数大状态的多项式描述。张量网络是由小的基本张量按照网络的几何结构所决定的特定模式收缩而成的。张量网络的几何结构网络的几何结构完全决定了它所描述的状态中的相关模式。由于这个原因,在平衡时纠缠的结构和张量网络的几何结构之间存在联系,张量网络最适合描述局部相关性。在非平衡演化过程中,短程关联辐射成长程关联,传统的张量网络只能对多体波函数进行很好的描述。研究假设和目的我们的目标是用张量网络来描述多体量子系统的非平衡动力学,我们将1)应用这样的直觉:尽管在非平衡演化过程中产生了长程纠缠,但关联仍然是短程的。通过这种方式,我们将设计一种策略来执行许多体量子态的近似平衡,这将允许获得局部可观测值的正确演化。2)表征和理解高级张量网络结构,如谱张量网络和分支MERA,并使其适应量子系统的平衡演化。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Simulating the out-of-equilibrium dynamics of local observables by trading entanglement for mixture
通过用混合物的纠缠来模拟局部可观测量的不平衡动力学
- DOI:10.1103/physrevb.99.235115
- 发表时间:2019
- 期刊:
- 影响因子:3.7
- 作者:Surace J
- 通讯作者:Surace J
Long-Lived Mesoscopic Entanglement Between Two Damped Infinite Harmonic Chains
- DOI:10.1007/s10955-017-1817-8
- 发表时间:2017-05
- 期刊:
- 影响因子:1.6
- 作者:F. Benatti;F. Benatti;F. Carollo;F. Carollo;R. Floreanini;J. Surace
- 通讯作者:F. Benatti;F. Benatti;F. Carollo;F. Carollo;R. Floreanini;J. Surace
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
- DOI:
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- 影响因子:0
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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- 影响因子:0
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