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Novel randomness-induced disordered ground states in two-dimensional (2D) quantum spin systems have been attracting much interest. For quantitative analysis of such random quantum spin systems, one of the most promising numerical approaches…

强关联电子 · 物理学 2020-11-03 Kouichi Seki , Toshiya Hikihara , Kouichi Okunishi

In this paper we study a novel spin chain with nearest-neighbors interactions depending on the sites coordinates, which in some sense is intermediate between the Heisenberg chain and the spin chains of Haldane-Shastry type. We show that…

高能物理 - 理论 · 物理学 2008-11-26 A. Enciso , F. Finkel , A. Gonzalez-Lopez , M. A. Rodriguez

The W-fusion scattering process W+W- --> ZZ for off-shell W bosons is studied, focusing on the issue of its high-energy behaviour which is known to be anomalous. It is shown that the unitarity violating terms can be isolated and extracted…

高能物理 - 唯象学 · 物理学 2011-09-13 K. Philippides , W. J. Stirling

Cluster molecular field approximations represent a substantial progress over the simple Weiss theory where only one spin is considered in the molecular field resulting from all the other spins. In this work we discuss a systematic way of…

统计力学 · 物理学 2009-11-07 Hans Behringer , Michel Pleimling , Alfred Huller

Using statistical learning methods to analyze stochastic simulation outputs can significantly enhance decision-making by uncovering relationships between different simulated systems and between a system's inputs and outputs. We focus on…

统计方法学 · 统计学 2026-05-28 Mohammadmahdi Ghasemloo , David J. Eckman

We consider the problem of identifying multiway block structure from a large noisy tensor. Such problems arise frequently in applications such as genomics, recommendation system, topic modeling, and sensor network localization. We propose a…

机器学习 · 统计学 2021-01-05 Miaoyan Wang , Yuchen Zeng

We develop a Non-Crossing Approximation (NCA) for the effective cluster problem of the recently developed Dynamical Cluster Approximation (DCA). The DCA technique includes short-ranged correlations by mapping the lattice problem onto a…

强关联电子 · 物理学 2009-10-31 Th. Maier , M. Jarrell , Th. Pruschke , J. Keller

Clustering is a data analysis method for extracting knowledge by discovering groups of data called clusters. Among these methods, state-of-the-art density-based clustering methods have proven to be effective for arbitrary-shaped clusters.…

机器学习 · 计算机科学 2023-10-26 Nabil El Malki , Robin Cugny , Olivier Teste , Franck Ravat

In this paper we continue the study of the truncated conformal space approach to perturbed conformal field theories, this time applied to bulk perturbations and focusing on the leading truncation-dependent corrections to the spectrum. We…

高能物理 - 理论 · 物理学 2011-06-14 Philip Giokas , Gerard Watts

By using the coupled cluster method (CCM) and the numerical exact diagonalization (ED) method, we investigated the properties of the one quasi-one-dimensional coupled spin triangles. The results of ED disclose that the system is in the…

强关联电子 · 物理学 2015-03-25 Jian-Jun Jiang , Yong-Jun Liu , Fei Tang , Cui-Hong Yang

Hamiltonian Truncation Effective Theory is a framework that aims to improve the results of Hamiltonian truncation in a systematic, order-by-order fashion using Effective Field Theory methodology. The result is a truncated effective…

高能物理 - 理论 · 物理学 2025-07-30 Ekrem Demiray , Kara Farnsworth , Rachel Houtz

The truncated Wigner approximation is an established approach that describes the dynamics of weakly interacting Bose gases beyond the mean-field level. Although it allows a quantum field to be expressed by a stochastic c-number field, the…

原子物理 · 物理学 2022-02-02 Christopher D. Mink , Axel Pelster , Jens Benary , Herwig Ott , Michael Fleischhauer

Tensor clustering, which seeks to extract underlying cluster structures from noisy tensor observations, has gained increasing attention. One extensively studied model for tensor clustering is the tensor block model, which postulates the…

统计理论 · 数学 2023-11-07 Yuchen Zhou , Yuxin Chen

Conventional clustering methods based on pairwise affinity usually suffer from the concentration effect while processing huge dimensional features yet low sample sizes data, resulting in inaccuracy to encode the sample proximity and…

机器学习 · 计算机科学 2023-02-06 Hongmin Cai , Fei Qi , Junyu Li , Yu Hu , Yue Zhang , Yiu-ming Cheung , Bin Hu

We describe a simple quantum mechanical method that can be used to obtain accurate numerical results over long time scales for the spin correlation tensor of an electron spin that is hyperfine coupled to a large number of nuclear spins.…

量子物理 · 物理学 2018-08-13 Lachlan P. Lindoy , David E. Manolopoulos

We introduce the time-dependent ghost Gutzwiller approximation (td-gGA), a non-equilibrium extension of the ghost Gutzwiller approximation (gGA), a powerful variational approach which systematically improves on the standard Gutzwiller…

强关联电子 · 物理学 2023-08-23 Daniele Guerci , Massimo Capone , Nicola Lanatà

Stepped-wedge cluster randomised trials (SW-CRTs) increasingly evaluate complex interventions, yet methodological guidance for analysing composite endpoints using generalized pairwise comparisons (GPC)remains limited. This work investigates…

We show that numerical quasi-one-dimensional renormalization group allows accurate study of weakly coupled chains with modest computational effort. We perform a systematic comparison with exact diagonalization results in two and three-leg…

强关联电子 · 物理学 2007-05-23 J. V. Alvarez , S. Moukouri

We present a minimalist, symmetry-guided interaction for microscopic cluster models based on Wigner-$SU(4)$ symmetry. Retaining only an $SU(4)$-invariant two-body attraction and a local three-body repulsion, this framework is implemented…

核理论 · 物理学 2026-05-21 Guo-Ping Li , Su-Yu Zhou , Dong Bai , Bo Zhou , Yu-Gang Ma

The rigorous coupled-wave analysis (RCWA) is one of the most successful and widely used methods for modeling periodic optical structures. It yields fast convergence of the electromagnetic far-field and has been adapted to model various…

光学 · 物理学 2015-07-24 Martin Weismann , Dominic F. G. Gallagher , Nicolae C. Panoiu