
Variational Matrix Product State Approach for Non-Hermitian System Based on a
Companion Hermitian Hamiltonian
Zhen Guo,1Zheng-Tao Xu,1Meng Li,1Li You,1, 2, 3, 4, ∗and Shuo Yang1, 2, 3, †
1State Key Laboratory of Low Dimensional Quantum Physics,
Department of Physics, Tsinghua University, Beijing 100084, China
2Frontier Science Center for Quantum Information, Beijing, China
3Hefei National Laboratory, Hefei, 230088, China
4Beijing Academy of Quantum Information Sciences, Beijing 100193, China
Non-Hermitian systems exhibiting topological properties are attracting growing interest. In this
work, we propose an algorithm for solving the ground state of a non-Hermitian system in the matrix
product state (MPS) formalism based on a companion Hermitian Hamiltonian. If the eigenvalues
of the non-Hermitian system are known, the companion Hermitian Hamiltonian can be directly
constructed and solved using Hermitian variational methods. When the eigenvalues are unknown,
a gradient descent along with the companion Hermitian Hamiltonian yields both the ground state
eigenenergy and the eigenstate. With the variational principle as a solid foundation, our algorithm
ensures convergence and provides results in excellent agreement with the exact solutions of the non-
Hermitian Su-Schrieffer-Heeger (nH-SSH) model as well as its interacting extension. The approach
we present avoids solving any non-Hermitian matrix and overcomes numerical instabilities commonly
encountered in large non-Hermitian systems.
Introduction.— The idea of using non-Hermitian
Hamiltonian to effectively describe open system back-
dates to the mid-1900s [1–3], not long after the birth
of Quantum Mechanics. Over the years, non-Hermitian
Hamiltonians have arisen in a variety of non-conservative
systems, both classical [4–10] and quantum [11–19]. In
systems exhibiting non-Hermitian skin effects, the con-
ventional bulk-boundary correspondence (BBC) is bro-
ken [20–26]. Significant efforts are being made to charac-
terize non-Hermitian BBC, such as defining BBC through
singular value gap [27], detecting BBC using entangle-
ment entropy [28–30], and understanding BBC by gener-
alized Bloch theory [31–33].
Most studies of non-Hermitian systems focus on single-
particle Hamiltonians, but not all properties of non-
Hermitian many-body states can be directly derived from
single-particle wave functions, even in the non-interacting
case [22]. Beyond the single-particle research, standard
methods for many-body non-Hermitian systems are of-
ten limited to small system size [25, 28, 34, 35] due to
the exponential growth of Hilbert space. Fortunately,
not all quantum states in the many-body Hilbert space
are equally important to the main physics. For Hermitian
systems, low energy states of realistic Hamiltonians are
constrained by locality and obey the entanglement area
law [36, 37]. Tensor network (TN) states can be con-
structed based on this property, allowing them to natu-
rally capture the most relevant states in Hilbert space. In
recent years, TN has emerged as a powerful tool to study
strongly correlated quantum many-body systems. When
solving the ground state of a one-dimensional (1D) Her-
mitian Hamiltonian, the variational matrix product state
∗lyou@tsinghua.edu.cn
†shuoyang@tsinghua.edu.cn
(VMPS) method [38, 39] and the equivalent density ma-
trix renormalization group (DMRG) algorithm [40] al-
ways converge, as guaranteed by the variational princi-
ple. For large strongly correlated non-Hermitian systems,
analogous principles and stable algorithms are desired.
Although DMRG has been successfully applied to cer-
tain non-Hermitian problems [41–45], debates remain re-
garding the choices of density matrices [41, 44–51] and
numerical difficulties remain for some approaches. For
instance, Ref. [51] points out that the convergence char-
acteristics of non-Hermitian algorithms are less favorable
than in the Hermitian case, with the storage and com-
puting time more than doubled due to the inequivalent
left and right eigenspaces. Reference [43] reports an in-
stability of non-Hermitian DMRG even after many it-
erations and attributes this to non-Hermiticity. Refer-
ences [45, 48, 52] introduce biorthonormal DMRG ap-
proaches capable of providing accurate results while re-
maining problematic at exceptional points. Our study
ascribes the latter to the biorthonormal condition itself
since nearly orthogonal left and right eigenvectors are
commonly found in non-Hermitian systems exhibiting
skin effect [53].
In this work, we introduce two practical VMPS ap-
proaches for a non-Hermitian system based on a compan-
ion Hermitian Hamiltonian. The Hermitian variational
principle consequently guarantees convergence, and we
avoid all numerical difficulties by not directly solving any
non-Hermitian matrix.
Variational principle.— The VMPS method, like
other Hermitian variational methods, relies on the fact
that a ground state has the lowest energy. To go beyond
this Hermitian paradigm, the first step is to define the
ground state of a non-Hermitian system and its energy
gradient. Two common definitions of ground states are
used, depending on whether the real or imaginary parts
arXiv:2210.14858v1 [quant-ph] 26 Oct 2022