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In a recent paper [Bardella et al., Entropy 26 (6), 495 (2024)] we introduced a simplified Lattice Field Theory (LFT) framework that allows experimental recordings from major Brain-Computer Interfaces (BCIs) to be interpreted in a simple…

统计力学 · 物理学 2026-04-08 Simone Franchini , Giampiero Bardella

Using the density matrix renormalization group algorithm, we investigate the lattice model for spinless fermions in one dimension in the presence of a strong interaction and disorder. The phase sensitivity of the ground state energy is…

强关联电子 · 物理学 2009-10-30 P. Schmitteckert , T. Schulze , C. Schuster , P. Schwab , U. Eckern

With advances in quantum computing, new opportunities arise to tackle challenging calculations in quantum field theory. We show that trotterized time-evolution operators can be related by analytic continuation to the Euclidean transfer…

高能物理 - 格点 · 物理学 2021-12-08 Marcela Carena , Henry Lamm , Ying-Ying Li , Wanqiang Liu

Neural networks can be used as approximations of several complex control schemes such as model predictive control. We show in this paper which properties deep neural networks with rectifier linear units as activation functions need to…

系统与控制 · 电气工程与系统科学 2020-04-02 Benjamin Karg , Sergio Lucia

In this study, we propose a novel regularization/renormalization scheme that utilizes an auxiliary Feynman parameterization. This approach is employed to align a specified loop diagram with a designated unit of the form $1=\lambda/\lambda$.…

高能物理 - 唯象学 · 物理学 2025-04-23 Vladimir Sauli

Neural Networks (NNs) for causal effect estimation have shown strong empirical performance, yet endowing them with desirable semiparametric properties -- doubly robustness and fast convergence rates -- remains challenging. A common approach…

机器学习 · 计算机科学 2026-05-25 Jiahong Li , Zeqin Yang , Jixing Xu , Enzheng Hua , Zhichao Zou , Peng Zhen , Jiecheng Guo

The problem of the divergences which arise in beyond mean-field calculations, when a zero-range effective interaction is employed, has not been much considered so far. Some of us have proposed, quite recently, a scheme to regularize a…

核理论 · 物理学 2014-10-22 Marco Brenna , Gianluca Colò , Xavier Roca-Maza

Sparse neural networks are highly desirable in deep learning in reducing its complexity. The goal of this paper is to study how choices of regularization parameters influence the sparsity level of learned neural networks. We first derive…

机器学习 · 计算机科学 2024-08-07 Lixin Shen , Rui Wang , Yuesheng Xu , Mingsong Yan

We present a new parallel computational framework for the efficient solution of a class of $L^2$/$L^1$-regularized optimal control problems governed by semi-linear elliptic partial differential equations (PDEs). The main difficulty in…

最优化与控制 · 数学 2025-08-20 Gabriele Ciaramella , Michael Kartmann , Georg Müller

Low-energy tests of fundamental symmetries are extremely sensitive probes of physics beyond the Standard Model, reaching scales that are comparable, if not higher, than directly accessible at the energy frontier. The interpretation of…

高能物理 - 格点 · 物理学 2019-01-01 Emanuele Mereghetti

In this contribution, we show some recent progress in the study of neutron-proton scattering with Nuclear Lattice Effective Field Theory (NLEFT). We present preliminary studies of both, the uncertainties in the $np$ phase shifts extracted…

核理论 · 物理学 2015-11-17 Jose Manuel Alarcón

We formulate the next-to-leading order nuclear effective field theory without pions in the two-nucleon sector on a spatial lattice, and investigate nonperturbative renormalization group flows in the strong coupling region by diagonalizing…

核理论 · 物理学 2016-09-07 Koji Harada , Satoru Sasabe , Masanobu Yahiro

Effective Hamiltonians and effective electroweak operators are calculated with the Okubo-Lee-Suzuki formalism for two-nucleon systems. Working within a harmonic oscillator basis, first without and then with a confining harmonic oscillator…

We explore the lattice spacing dependence in Nuclear Lattice Effective Field Theory for few-body systems up to next-to-next-to leading order in chiral effective field theory including all isospin breaking and electromagnetic effects, the…

核理论 · 物理学 2018-08-15 Nico Klein , Serdar Elhatisari , Timo A. Lähde , Dean Lee , Ulf-G. Meißner

A novel lattice approach is presented for studying systems comprising a large number of interacting nonrelativistic fermions. The construction is ideally suited for numerical study of fermions near unitarity--a strongly coupled regime…

高能物理 - 格点 · 物理学 2015-03-17 Michael G. Endres , David B. Kaplan , Jong-Wan Lee , Amy N. Nicholson

Boundary conditions provide a simple and physically compelling Wilsonian renormalization method in coordinate space in the framework of effective field theory as applied to nucleon-nucleon interaction in the non perturbative regime,…

核理论 · 物理学 2007-05-23 M. Pavon Valderrama , E. Ruiz Arriola

Precision spectroscopic measurements of isotope shifts have recently reached a high level of accuracy. Tests of King non-linearity (NL) along isotope chains have been proposed as a tool to search for fifth-force mediators. At the same time,…

高能物理 - 唯象学 · 物理学 2025-12-10 Benoît Assi , Sam Carey , Sebastian Jäger , Gabriel Lee , Gil Paz , Gilad Perez , Jure Zupan

We improve the non-relativistic QCD (NRQCD) action by comparing the dispersion relation to that of the continuum through $\mathcal{O}(p^6)$ in perturbation theory. The one-loop matching coefficients of the $\mathcal{O}(p^4)$ kinetic…

Consider a distributed control problem with a communication channel connecting the observer of a linear stochastic system to the controller. The goal of the controller is to minimize a quadratic cost function in the state variables and…

信息论 · 计算机科学 2017-10-20 Victoria Kostina , Babak Hassibi

In this work I apply a recently proposed improvement procedure, originally conceived to reduce finite lattice spacing effects in transfer matrices for dilute Fermi systems, to tuning operators for the calculation of observables. I…

统计力学 · 物理学 2012-07-09 Joaquín E. Drut