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We study and exactly solve the two-photon and k-photon Jaynes-Cummings models by using a novelty algebraic method. This algebraic method is based on the Pauli matrices realization and the tilting transformation of the $SU(2)$ group and let…

Quantum Physics · Physics 2018-08-29 E. Choreño , D. Ojeda-Guillén , V. D. Granados

A new technique towards finding asymptotic normalization coefficients in the complex-ranged Gaussian basis is presented. It is shown that a diagonalisation procedure for the total Hamiltonian matrix in the given basis results in…

Nuclear Theory · Physics 2019-10-29 D. A. Sailaubek , O. A. Rubtsova

We derive the analytical expression of the ground state of the Hubbard model with unconstrained hopping at half filling and for arbitrary lattice sites.

solv-int · Physics 2009-10-30 Mario Salerno

Many fields of science and engineering require finding eigenvalues and eigenvectors of large matrices. The solutions can represent oscillatory modes of a bridge, a violin, the disposition of electrons around an atom or molecule, the…

Quantum Physics · Physics 2008-06-10 Eric J. Heller , Lev Kaplan , Frank Pollmann

Methods for modeling large driven dissipative quantum systems are becoming increasingly urgent due to recent experimental progress in a number of photonic platforms. We demonstrate the positive-P method to be ideal for this purpose across a…

Quantum Physics · Physics 2021-02-09 Piotr Deuar , Alex Ferrier , Michał Matuszewski , Giuliano Orso , Marzena H. Szymańska

Factorization method is developed for a family of discretely spiked harmonic oscillators. Two sets of intertwining and ladder operators are presented to algebraically generate eigenstates with energies isomorphic to those of the ordinary…

Quantum Physics · Physics 2007-05-23 Jan Skibinski

We investigate an exactly solvable two-dimensional Lorentzian coupled quantum system that in a certain parameter regime can be transformed to a higher time derivative theory (HTDT) with preserved symplectic structure. By transforming the…

Quantum Physics · Physics 2025-06-27 Andreas Fring , Takano Taira , Bethan Turner

In this paper we compare numerical results for the ground state of the Hubbard model obtained by Quantum-Monte-Carlo simulations with results from exact and stochastic diagonalizations. We find good agreement for the ground state energy and…

Condensed Matter · Physics 2015-06-25 Thomas Husslein , Werner Fettes , Ingo Morgenstern

The attractive two-site Bose-Hubbard model is studied within the framework of the analytical solution obtained by the application of Quantum Inverse Scattering Method. The structure of the ground and excited states is analyzed in terms of…

Quantum Physics · Physics 2018-02-28 Igor Ermakov , Tim Byrnes , Nikolay Bogoliubov

We study the extended Bose--Hubbard model describing an ultracold gas of dipolar molecules in an optical lattice, taking into account all on-site and nearest-neighbor interactions, including occupation-dependent tunneling and pair tunneling…

Quantum Gases · Physics 2013-04-10 Tomasz Sowiński , Omjyoti Dutta , Philipp Hauke , Luca Tagliacozzo , Maciej Lewenstein

We consider bosonic atoms that rotate in an anharmonic trapping potential. Using numerical diagonalization of the Hamiltonian, we identify the various phases of the gas as the rotational frequency of the trap and the coupling between the…

Other Condensed Matter · Physics 2009-11-11 S. Bargi , G. M. Kavoulakis , S. M. Reimann

One of the defining features of many-body localization is the presence of extensively many quasi-local conserved quantities. These constants of motion constitute a corner-stone to an intuitive understanding of much of the phenomenology of…

Statistical Mechanics · Physics 2018-05-03 M. Goihl , M. Gluza , C. Krumnow , J. Eisert

In spectral clustering, one defines a similarity matrix for a collection of data points, transforms the matrix to get the Laplacian matrix, finds the eigenvectors of the Laplacian matrix, and obtains a partition of the data using the…

Machine Learning · Computer Science 2012-10-19 Leonard K. M. Poon , April H. Liu , Tengfei Liu , Nevin Lianwen Zhang

We reformulate the Lanczos tau method for the discretization of time-delay systems in terms of a pencil of operators, allowing for new insights into this approach. As a first main result, we show that, for the choice of a shifted Legendre…

Numerical Analysis · Mathematics 2024-11-14 Evert Provoost , Wim Michiels

The Lanczos method is one of the most powerful and fundamental techniques for solving an extremal symmetric eigenvalue problem. Convergence-based error estimates depend heavily on the eigenvalue gap. In practice, this gap is often…

Numerical Analysis · Mathematics 2020-09-17 John C. Urschel

A new step-by-step diagonalization procedure for evaluating exact solutions of the nuclear deformed mean-field plus pairing interaction model is proposed via a simple Bethe ansatz in each step from which the eigenvalues and corresponding…

Nuclear Theory · Physics 2009-11-06 Feng Pan , Ming-Xia Xie , Xin Guan , Lian-Rong Dai , J. P. Draayer

We study high-dimensional covariance/precision matrix estimation under the assumption that the covariance/precision matrix can be decomposed into a low-rank component L and a diagonal component D. The rank of L can either be chosen to be…

Methodology · Statistics 2018-02-19 Yilei Wu , Yingli Qin , Mu Zhu

For a matrix *-algebra B, consider the matrix *-algebra A consisting of the symmetric tensors in the n-fold tensor product of B. Examples of such algebras in coding theory include the Bose-Mesner algebra and Terwilliger algebra of the…

Optimization and Control · Mathematics 2009-10-26 Dion Gijswijt

In this work, we study the accuracy and efficiency of hierarchical matrix ($\mathcal{H}$-matrix) based fast methods for solving dense linear systems arising from the discretization of the 3D elastodynamic Green's tensors. It is well known…

Numerical Analysis · Mathematics 2017-10-25 Stéphanie Chaillat , Luca Desiderio , Patrick Ciarlet

The localization landscape gives direct access to the localization of bottom-of-band eigenstates in non-interacting disordered systems. We generalize this approach to eigenstates at arbitrary energies in systems with or without internal…

Disordered Systems and Neural Networks · Physics 2020-07-08 Loïc Herviou , Jens H. Bardarson