activity
20172026
most citedTensor Network Python (TeNPy) version 1

56 citations · 142 across the 33 of their papers we have counts for

collaborators

33 papers

cond-mat.str-el2026

Spin-charge separation in the triangular-lattice Hofstadter-Hubbard model

Yuntian Gu, Hui Yang, Zhehao Dai +1

Recent experiments in moiré materials have enabled the realization of a variety of exotic quantum phases. In this context, the Hofstadter-Hubbard model has been proposed as a possi…

quant-ph2026

Quantum-classical crossover in fault-tolerant quantum dynamics simulation

Jinzhao Sun, Bozhen Zhou, Jue Xu +28

While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperforms the best classical algorith…

quant-ph2026

Efficient classical simulation of two-dimensional long-range systems: Rydberg arrays and beyond

Jia-Lin Chan, Tao Xiang, Yantao Wu

In variational Monte Carlo (VMC) calculations of -site quantum systems with arbitrary all-to-all two-body interactions, evaluating the local energy generally costs . We…

cond-mat.str-el2026

Resolving support-mismatch by local basis rotation in variational Monte Carlo

Jia-Lin Chen, Zhen Fan, Canhui Yan +2

Real-time dynamics after a local quench by a charged operator encodes the response functions measured in spectroscopic experiments, yet they have long posed a challenge for variati…

cond-mat.str-el2026

Disentangling Tensor Network States with Deep Neural Network

Chaohui Fan, Bo Zhan, Yuntian Gu +5

We introduce Neural Tensor Network States (TNS), a variational many-body wave-function ansatz that integrates deep neural networks with tensor-network architectures. In the T…

math.AP2026

Self-similar blow-up profile for the one-dimensional reduction of generalized SQG with infinite energy

Thomas Y. Hou, Xiang Qin, Yannick Sire +1

We study the singularity formation mechanisms of the inviscid generalized Surface Quasi-Geostrophic (gSQG) equation on the whole space and on the upper half-plane $\…

cond-mat.dis-nn2026

Variational Monte Carlo (VMC) with row-update Projected Entangled-Pair States (PEPS) and its applications in quantum spin glasses

Tao Chen, Jing Liu, Yantao Wu +2

Solving the quantum many-body ground state problem remains a central challenge in computational physics. In this context, the Variational Monte Carlo (VMC) framework based on Proje…

math.AP2026

Liquid crystals and topological vorticity: smoothness of mild solutions

Fanghua Lin, Yannick Sire, Yantao Wu +1

We introduce several new models whose common feature is to take into account effects from topological vorticity. The macroscopic unknown is driven by a dissipative anomalous diffus…

cond-mat.str-el2025

Real-Time Dynamics in Two Dimensions with Tensor Network States via Time-Dependent Variational Monte Carlo

Yantao Wu, Jannes Nys

Reliably simulating two-dimensional many-body quantum dynamics with projected entangled pair states (PEPS) has long been a difficult challenge. In this work, we overcome this barri…

quant-ph2025

No-go theorems for sequential preparation of two-dimensional chiral states via channel-state correspondence

Ruihua Fan, Yantao Wu, Yimu Bao +1

We investigate whether sequential unitary circuits can prepare two-dimensional chiral states, using a correspondence between sequentially prepared states, isometric tensor network…

cond-mat.str-el2025★ 3 cited

Solving the Hubbard model with Neural Quantum States

Yuntian Gu, Wenrui Li, Heng Lin +9

The rapid development of neural quantum states (NQS) has established it as a promising framework for studying quantum many-body systems. In this work, by leveraging the cutting-edg…

cond-mat.str-el2025

Algorithms for variational Monte Carlo calculations of fermion projected entangled pair states in the swap gates formulation and the detailed balance of tensor network sequential sampling

Yantao Wu, Zhehao Dai

In recent years, the variational Monte Carlo (VMC) calculations of projected entangled pair states (PEPS) has emerged as a competitive method for computing the ground states of man…

cond-mat.str-el2025

Accurate Gauge-Invariant Tensor Network Simulations for Abelian Lattice Gauge Theory in (2+1)D: ground state and real-time dynamics

Yantao Wu, Wen-Yuan Liu

We propose a novel tensor network method to achieve accurate and efficient simulations of Abelian lattice gauge theories (LGTs) in (2+1)D for both ground state and real-time dynami…

quant-ph2025

Alternating and Gaussian fermionic Isometric Tensor Network States

Yantao Wu, Zhehao Dai, Sajant Anand +5

Isometric tensor networks in two dimensions enable efficient and accurate study of quantum many-body states, yet the effect of the isometric restriction on the represented quantum…

stat.ML2024

Conditional regression for the Nonlinear Single-Variable Model

Yantao Wu, Mauro Maggioni

Regressing a function on without incurring the statistical and computational curse of dimensionality requires exploitable structure. Compositional models $F=f\ci…

cond-mat.str-el2024★ 56 cited

Tensor Network Python (TeNPy) version 1

Johannes Hauschild, Jakob Unfried, Sajant Anand +27

TeNPy (short for 'Tensor Network Python') is a python library for the simulation of strongly correlated quantum systems with tensor networks. The philosophy of this library is to a…

math.AP2023

Global Existence of Weak Solutions to the Two Dimensional Nematic Liquid Crystal Flow with Partially Free Boundary

Yannick Sire, Yantao Wu, Yifu Zhou

We consider a nematic liquid crystal flow with partially free boundary in a smooth bounded domain in . We prove regularity estimates and the global existence of weak…

cond-mat.str-el2022★ 3 cited

Two Dimensional Isometric Tensor Networks on an Infinite Strip

Yantao Wu, Sajant Anand, Sheng-Hsuan Lin +2

The exact contraction of a generic two-dimensional (2D) tensor network state (TNS) is known to be exponentially hard, making simulation of 2D systems difficult. The recently introd…

cond-mat.str-el2022★ 7 cited

Fermionic Isometric Tensor Network States in Two Dimensions

Zhehao Dai, Yantao Wu, Taige Wang +1

We generalize isometric tensor network states to fermionic systems, paving the way for efficient adaptations of 1D tensor network algorithms to 2D fermionic systems. As the first a…

quant-ph2022

Gate Based Implementation of the Laplacian with BRGC Code for Universal Quantum Computers

Ermal Rrapaj, Kenneth S. McElvain, Chia Cheng Chang +2

We study the gate-based implementation of the binary reflected Gray code (BRGC) and binary code of the unitary time evolution operator due to the Laplacian discretized on a lattice…

math.AT2021

Halperin's conjecture in formal dimensions up to 20

Lee Kennard, Yantao Wu

A 1976 conjecture of Halperin on positively elliptic spaces was recently confirmed in formal dimensions up to 16. In this article, we shorten the proof and extend the result up to…

quant-ph2021★ 7 cited

Improving Schrödinger Equation Implementations with Gray Code for Adiabatic Quantum Computers

Chia Cheng Chang, Kenneth S. McElvain, Ermal Rrapaj +1

We reformulate the continuous space Schrödinger equation in terms of spin Hamiltonians. For the kinetic energy operator, the critical concept facilitating the reduction in model co…

cond-mat.stat-mech2020

Dissipative dynamics in isolated quantum spin chains after a local quench

Yantao Wu

We provide numerical evidence that after a local quench in an isolated infinite quantum spin chain, the quantum state locally relaxes to the ground state of the post-quenched Hamil…

cond-mat.stat-mech2020★ 8 cited

Time-dependent variational principle of mixed matrix product states in the thermodynamic limit

Yantao Wu

We describe a time evolution algorithm for quantum spin chains whose Hamiltonians are composed of an infinite uniform left and right bulk part, and an arbitrary finite region in be…