Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Communications in Theoretical Physics

Exact Numerical Solutions of Bose-Hubbard Model

Dan Zhang, Feng Pan

Published Feb 15, 2004• 0 citations
Publisher

Abstract

Hamiltonian of a one-dimensional Bose–Hubbard model is re-formulated by using differential realization of the boson algebra. Energy matrices can then be generated systematically by using a Mathematica package. The output can be taken as the input of other diagonalization codes. As examples, exact energy eigenvalues and the corresponding wavefunctions for some cases are obtained with a Fortran diagonalization code. Phase transition of the model is analyzed.

DOI
10.1088/0253-6102/41/2/183

Related papers

Exact Numerical Solutions of Bose-Hubbard Model

ZHANGDan, PANFeng

Hamiltonian of a one-dimensional Bose Hubbard model is re-formulated by using differential realization of the boson algebra.Energy matrices can then be generated systematically by using a Mathematica package.The output can be taken as the input of other diagonalization codes.As examples exact energy cigenvalues and the corresponding wavefunctions for some cases are obtained with a Fortran diagonalization code.Phase transition of the model is analyzed.

理论物理通讯：英文版•Jan 1, 2004•0 citations

Exact diagonalization: the Bose–Hubbard model as an example

J. M. Zhang, R X Dong

We take the Bose-Hubbard model to illustrate exact diagonalization techniques in a pedagogical way. We follow the road of first generating all the basis vectors, then setting up the Hamiltonian matrix with respect to this basis, and finally using the Lanczos algorithm to solve low lying eigenstates and eigenvalues. Emphasis is placed on how to enumerate all the basis vectors and how to use the hashing trick to set up the Hamiltonian matrix or matrices corresponding to other quantities. Although our route is not necessarily the most efficient one in practice, the techniques and ideas introduced are quite general and may find use in many other problems.

arXiv:1102.4006•European Journal of Physics•Apr 7, 2010•144 citations

Numerical study of quantum many body systems

Haoran Hu

This paper explores the numerical study of quantum many-body systems with an emphasis on exact diagonalization techniques. The complexity of strongly correlated systems, often governed by large Hilbert spaces, presents significant computational challenges, making exact solutions difficult. In this work, we examine methods to simplify these systems by leveraging techniques such as the Schrieffer-Wolff transformation, which decouples high-energy and low-energy states, and the use of symmetry operators to block-diagonalize Hamiltonians and so on. These approaches are demonstrated with examples such as the hydrogen atom and a lambda system. The second part of the paper focuses on specific case studies, including a one-dimensional spin model and Bose-Hubbard model. The latter is crucial for understanding the behavior of interacting bosons in lattice systems and phenomena such as the superfluid-Mott insulator transition. We present a detailed investigation of the phase diagram for the one-dimensional Bose-Hubbard model using both exact diagonalization and mean field theory, providing insights into its quantum phase transitions. This study underscores the potential of exact diagonalization in quantum simulations and highlights its relevance for experimental setups involving trapped ions and superconducting qubits.

Advances in Engineering Innovation•Oct 25, 2024•0 citations

Solution of One-Dimensional Bose–Hubbard Model in Large-U Limit

Yong Zheng

The one-dimensional Bose-Hubbard model in large-$U$ limit has been studied via reducing and mapping the Hamiltonian to a simpler one. The eigenstates and eigenvalues have been obtained exactly in the subspaces with fixed numbers of single- and double-occupancies but without multiple-occupancies, and the thermodynamic properties of the system have been calculated further. These eigenstates and eigenvalues also enable us to develop a new perturbation treatment of the model, with which the ground-state energy has been calculated exactly to first order in $1/U$.

arXiv:2104.08670•Journal of the Physical Society of Japan•Dec 20, 2021•1 citation

HubbardNet: Efficient predictions of the Bose-Hubbard model spectrum with deep neural networks

Ziyan Zhu, Marios Mattheakis, Weiwei Pan +1 more

We present a deep neural network (DNN) -based model (HubbardNet) to variationally find the ground-state and excited-state wave functions of the one-dimensional and two-dimensional Bose-Hubbard model. Using this model for a square lattice with $M$ sites, we obtain the energy spectrum as an analytical function of the on-site Coulomb repulsion, $U$, and the total number of particles, $N$, from a single training. This approach bypasses the need to solve a new Hamiltonian for each different set of values $(U,N)$ and generalizes well even for out-of-distribution $(U,N)$. Using HubbardNet, we identify the two ground-state phases of the Bose-Hubbard model (Mott insulator and superfluid). We show that the DNN-parametrized solutions are in excellent agreement with results from the exact diagonalization of the Hamiltonian, and it outperforms exact diagonalization in terms of computational scaling. These advantages suggest that our model is promising for efficient and accurate computation of exact phase diagrams of many-body lattice Hamiltonians.

arXiv:2212.13678•Physical Review Research•Oct 26, 2023•9 citations

Exact Solution of Two-Site Bose–Hubbard Model with Generic Open Boundaries*

Zhirong Xin, Tao Yang, Kun Hao +1 more

Abstract The Bose–Hubbard model is a paradigm for the study of strongly correlated bosonic systems. We study the two-site Bose–Hubbard model with generic integrable open boundaries specified by the most general non-diagonal reflecting matrices. Besides the inhomogeneous parameters, the model itself has three free boundary parameters, which break the U(1)-symmetry, in other words, break the particle number conservation. The Hamiltonian H under these circumstances is constructed. With the help of the off-diagonal Bethe Ansatz method, we successfully obtain the corresponding Bethe Ansatz equations as well as the eigenvalues.

Communications in Theoretical Physics•Dec 1, 2015•1 citation
Hamiltonian of a one-dimensional Bose–Hubbard model is re-formulated by using differential realization of the boson algebra. Energy matrices can then be generated systematically by using a Mathematica package. The output can be taken as the input of other diagonalization codes. As examples, exact energy eigenvalues and the corresponding wavefunctions for some cases are obtained with a Fortran diagonalization code. Phase transition of the model is analyzed.
We take the Bose-Hubbard model to illustrate exact diagonalization techniques in a pedagogical way. We follow the road of first generating all the basis vectors, then setting up the Hamiltonian matrix with respect to this basis, and finally using the Lanczos algorithm to solve low lying eigenstates and eigenvalues. Emphasis is placed on how to enumerate all the basis vectors and how to use the hashing trick to set up the Hamiltonian matrix or matrices corresponding to other quantities. Although our route is not necessarily the most efficient one in practice, the techniques and ideas introduced are quite general and may find use in many other problems.
This paper explores the numerical study of quantum many-body systems with an emphasis on exact diagonalization techniques. The complexity of strongly correlated systems, often governed by large Hilbert spaces, presents significant computational challenges, making exact solutions difficult. In this work, we examine methods to simplify these systems by leveraging techniques such as the Schrieffer-Wolff transformation, which decouples high-energy and low-energy states, and the use of symmetry operators to block-diagonalize Hamiltonians and so on. These approaches are demonstrated with examples such as the hydrogen atom and a lambda system. The second part of the paper focuses on specific case studies, including a one-dimensional spin model and Bose-Hubbard model. The latter is crucial for understanding the behavior of interacting bosons in lattice systems and phenomena such as the superfluid-Mott insulator transition. We present a detailed investigation of the phase diagram for the one-dimensional Bose-Hubbard model using both exact diagonalization and mean field theory, providing insights into its quantum phase transitions. This study underscores the potential of exact diagonalization in quantum simulations and highlights its relevance for experimental setups involving trapped ions and superconducting qubits.
The one-dimensional Bose-Hubbard model in large-UUU limit has been studied via reducing and mapping the Hamiltonian to a simpler one. The eigenstates and eigenvalues have been obtained exactly in the subspaces with fixed numbers of single- and double-occupancies but without multiple-occupancies, and the thermodynamic properties of the system have been calculated further. These eigenstates and eigenvalues also enable us to develop a new perturbation treatment of the model, with which the ground-state energy has been calculated exactly to first order in 1/U1/U1/U.
We present a deep neural network (DNN) -based model (HubbardNet) to variationally find the ground-state and excited-state wave functions of the one-dimensional and two-dimensional Bose-Hubbard model. Using this model for a square lattice with MMM sites, we obtain the energy spectrum as an analytical function of the on-site Coulomb repulsion, UUU, and the total number of particles, NNN, from a single training. This approach bypasses the need to solve a new Hamiltonian for each different set of values (U,N)(U,N)(U,N) and generalizes well even for out-of-distribution (U,N)(U,N)(U,N). Using HubbardNet, we identify the two ground-state phases of the Bose-Hubbard model (Mott insulator and superfluid). We show that the DNN-parametrized solutions are in excellent agreement with results from the exact diagonalization of the Hamiltonian, and it outperforms exact diagonalization in terms of computational scaling. These advantages suggest that our model is promising for efficient and accurate computation of exact phase diagrams of many-body lattice Hamiltonians.
Abstract The Bose–Hubbard model is a paradigm for the study of strongly correlated bosonic systems. We study the two-site Bose–Hubbard model with generic integrable open boundaries specified by the most general non-diagonal reflecting matrices. Besides the inhomogeneous parameters, the model itself has three free boundary parameters, which break the U(1)-symmetry, in other words, break the particle number conservation. The Hamiltonian H under these circumstances is constructed. With the help of the off-diagonal Bethe Ansatz method, we successfully obtain the corresponding Bethe Ansatz equations as well as the eigenvalues.