Shi-Ju Ran

发表

Few-body systems capture many-body physics: Tensor network approach

M. Lewenstein, Shi-Ju Ran, A. Piga, 2017, 1703.09814.

Controlling the phase diagram of finite spin- 12 chains by tuning the boundary interactions

M. Lewenstein, Shi-Ju Ran, C. Peng, 2017, Physical Review B.

Tensor Network: Basic Definitions and Properties

M. Lewenstein, Shi-Ju Ran, C. Peng, 2020 .

Machine learning by unitary tensor network of hierarchical tree structure

M. Lewenstein, Ding Liu, P. Wittek, 2017, New Journal of Physics.

Generative Tensor Network Classification for Supervised Learning

Ding Liu, Shi-Ju Ran, C. Peng, 2020 .

Tensor Network Contraction and Multi-Linear Algebra

M. Lewenstein, Shi-Ju Ran, C. Peng, 2020 .

Phase transitions and thermodynamics of the two-dimensional Ising model on a distorted kagome lattice

Song Gao, Shi-Ju Ran, G. Su, 2010, 1010.5297.

Identifying Criticality in Higher Dimensions by Time Matrix Product State

M. Lewenstein, Shi-Ju Ran, C. Peng, 2017, 1708.07288.

Unsupervised Recognition of Informative Features via Tensor Network Machine Learning and Quantum Entanglement Variations

Shi-Ju Ran, Sheng-Chen Bai, Yifan Tang, 2022, 2207.06031.

Tensor Network Contractions

M. Lewenstein, Shi-Ju Ran, C. Peng, 2017, Lecture Notes in Physics.

Unsupervised Recognition of Informative Features via Tensor Network Machine Learning and Quantum Entanglement Variations

Shi-Ju Ran, Sheng-Chen Bai, Yifan Tang, 2022, Chinese Physics Letters.

Non-Parametric Semi-Supervised Learning in Many-Body Hilbert Space with Rescaled Logarithmic Fidelity

Shi-Ju Ran, Wei-Ming Li, 2021, Mathematics.

Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations

Jie Hu, Bin Xi, Shi-Ju Ran, 2022, ArXiv.

Theory of network contractor dynamics for exploring thermodynamic properties of two-dimensional quantum lattice models

Bin Xi, Shi-Ju Ran, G. Su, 2013, 1301.6439.

Optimized decimation of tensor networks with super-orthogonalization for two-dimensional quantum lattice models

Bin Xi, Shi-Ju Ran, G. Su, 2012, 1205.5636.

Linearized tensor renormalization group algorithm for the calculation of thermodynamic properties of quantum lattice models.

Bin Xi, Shi-Ju Ran, G. Su, 2010, Physical review letters.

Criticality in Two-Dimensional Quantum Systems: Tensor Network Approach

M. Lewenstein, Shi-Ju Ran, C. Peng, 2016, 1609.06852.

Criticality and Excitation Gap in Quantum Systems: Applications of Continuous Matrix Product States in Imaginary Time

M. Lewenstein, Shi-Ju Ran, E. Tirrito, 2016 .

Studying Criticality and Excitations of One Dimensional Systems by Time Matrix Product States

M. Lewenstein, Shi-Ju Ran, L. Tagliacozzo, 2016, 1608.06544.

Ab initio optimization principle for the ground states of translationally invariant strongly correlated quantum lattice models.

Shi-Ju Ran, 2015, Physical review. E.

Phase identification in many-body systems by virtual configuration binarization.

Shi-Ju Ran, G. Su, Yuan-Chi Yang, 2021, Physical review. E.

Fermionic algebraic quantum spin liquid in an octa-kagome frustrated antiferromagnet

Shi-Ju Ran, C. Peng, G. Su, 2017, 1705.06006.

Featureless quantum spin liquid, 1/3-magnetization plateau state, and exotic thermodynamic properties of the spin-1/2 frustrated Heisenberg antiferromagnet on an infinite Husimi lattice

Shi-Ju Ran, G. Su, Wei Li, 2013, 1308.3988.

Quantum compiling with variational instruction set for accurate and fast quantum computing

S. Fei, P. Zhou, Shi-Ju Ran, 2022, 2203.15574.

Tensor network efficiently representing Schmidt decomposition of quantum many-body states

P. Zhou, Shi-Ju Ran, Yinghe Lu, 2022, 2210.08166.

Visualizing quantum phases and identifying quantum phase transitions by nonlinear dimensional reduction

Shi-Ju Ran, G. Su, Yuan-Chi Yang, 2020 .

Learning Quantum Phases by Visualization

Shi-Ju Ran, G. Su, Yuan-Chi Yang, 2020, 2006.08461.

Reentrance of the topological phase in a spin-1 frustrated Heisenberg chain

Shi-Ju Ran, G. Su, S. Gong, 2019, Physical Review B.

Machine learning by unitary tensor network of hierarchical tree structure

Gang Su, Peter Wittek, Ding Liu, 2017, New Journal of Physics.

Machine Learning by Two-Dimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures

Raúl Blázquez García, M. Lewenstein, Ding Liu, 2017 .

Thermodynamics of spin-1/2 Kagomé Heisenberg antiferromagnet: algebraic paramagnetic liquid and finite-temperature phase diagram.

Shi-Ju Ran, C. Peng, G. Su, 2017, Science bulletin.

Emergent spin-1 trimerized valence bond crystal in the spin-1/2 Heisenberg model on the star lattice

A. Weichselbaum, J. Delft, Shi-Ju Ran, 2015, 1508.03451.

Honeycomb Heisenberg spin ladder: Unusual ground state and thermodynamic properties

Song Gao, Bin Xi, Shi-Ju Ran, 2013, 1307.5945.

Efficient Simulation of Quantum Many-body Thermodynamics by Tailoring Zero-temperature Tensor Network

M. Lewenstein, Guo‐Feng Zhang, Shi-Ju Ran, 2022, 2202.00244.

Functional tensor network solving many-body Schrödinger equation

Shi-Ju Ran, A. Ji, Yanli Xiao, 2022, Physical Review B.

Tangent-Space Gradient Optimization of Tensor Network for Machine Learning

Shi-Ju Ran, G. Su, Zheng-Zhi Sun, 2020, Physical review. E.

Encoding of matrix product states into quantum circuits of one- and two-qubit gates

Shi-Ju Ran, Shi-Ju Ran, 2019, Physical Review A.

Introduction

Shi-Ju Ran, C. Peng, L. Tagliacozzo, 2020, Tensor Network Contractions.

Two-Dimensional Tensor Networks and Contraction Algorithms

Cheng Peng, Gang Su, Shi-Ju Ran, 2020, Tensor Network Contractions.

Tensor Network Approaches for Higher-Dimensional Quantum Lattice Models

M. Lewenstein, Shi-Ju Ran, C. Peng, 2020, Tensor Network Contractions.

Efficient quantum simulation for thermodynamics of infinite-size many-body systems in arbitrary dimensions

M. Lewenstein, Bin Xi, Shi-Ju Ran, 2018, Physical Review B.

Characterizing the quantum field theory vacuum using temporal Matrix Product states

M. Lewenstein, N. Robinson, Shi-Ju Ran, 2018, 1810.08050.

Review of Tensor Network Contraction Approaches

M. Lewenstein, Shi-Ju Ran, C. Peng, 2017 .

Exploring Interacting Topological Insulators with Ultracold Atoms: the Synthetic Creutz-Hubbard Model

M. Rizzi, A. Bermudez, M. Lewenstein, 2016, 1612.02996.

Experimental realization of a quantum image classifier via tensor-network-based machine learning

Shi-Ju Ran, Peng Xue, Lei Xiao, 2020, Photonics Research.

Quantum image classifier with single photons.

Wei Yi, Lei Xiao, Kunkun Wang, 2020 .

Boundary-induced Exotic Bulk Entropy in Strongly-correlated Systems at Finite Temperatures

M. Lewenstein, Guo‐Feng Zhang, Shi-Ju Ran, 2022 .

Boundary-induced singularity in strongly-correlated quantum systems at finite temperature

M. Lewenstein, Shi-Ju Ran, Guo-Feng Zhang, 2022, 2204.06817.

Cold atoms meet lattice gauge theory

M. Lewenstein, A. Dauphin, A. Bermudez, 2021, Philosophical Transactions of the Royal Society A.

Accurate simulation and thermal tuning by temperature-adaptive boundary interactions on quantum many-body systems

M. Lewenstein, Guo‐Feng Zhang, Shi-Ju Ran, 2021, 2104.15054.

Noise-tolerant signature of ZN topological order in quantum many-body states

M. Lewenstein, Shi-Ju Ran, G. Su, 2018, Physical Review B.

An efficient perturbation theory of density matrix renormalization group

M. Lewenstein, I. McCulloch, A. Ferris, 2018 .

Efficient perturbation theory to improve the density matrix renormalization group

M. Lewenstein, I. McCulloch, A. Ferris, 2016, 1605.00940.

Circuit encapsulation for efficient quantum computing based on controlled many-body dynamics

S. Fei, P. Zhou, Shi-Ju Ran, 2022, ArXiv.

Phase diagram and exotic spin-spin correlations of anisotropic Ising model on the Sierpiński gasket

Gang Su, Shi-Ju Ran, Qing-Rong Zheng, 2013, 1311.1502.

Exotic entanglement scaling of Heisenberg antiferromagnet on honeycomb lattice

M. Lewenstein, Shi-Ju Ran, C. Peng, 2018, The European Physical Journal B.

Entanglement-Based Feature Extraction by Tensor Network Machine Learning

Xiao Zhang, Yuhan Liu, Shi-Ju Ran, 2018, Frontiers in Applied Mathematics and Statistics.

Automatically Differentiable Quantum Circuit for Many-qubit State Preparation pdf

Shi-Ju Ran, Peng-Fei Zhou, Rui Hong, 2021, Physical Review A.

Bayesian Tensor Network and Optimization Algorithm for Probabilistic Machine Learning pdf

Shi-Ju Ran, Shi-Ju Ran, 2019, ArXiv.

Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine Learning

Shi-Ju Ran, Shi-Ju Ran, 2019, 1912.12923.

Tensor network compressed sensing with unsupervised machine learning

Shao-Ming Fei, Maciej Lewenstein, Shi-Ju Ran, 2020, Physical Review Research.

Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning pdf

Gang Su, Shao-Ming Fei, Shi-Ju Ran, 2019, ArXiv.

Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity pdf

Shi-Ju Ran, Wei-Ming Li, Shi-Ju Ran, 2021, ArXiv.

Quantum compiling with variational instruction set for accurate and fast quantum computing

S. Fei, P. Zhou, Shi-Ju Ran, 2022, 2203.15574.

Generative Tensor Network Classification Model for Supervised Machine Learning pdf

Gang Su, Ding Liu, Cheng Peng, 2019, Physical Review B.

Quantum compiling with a variational instruction set for accurate and fast quantum computing

S. Fei, P. Zhou, Shi-Ju Ran, 2022, Physical Review Research.

Entanglement-Based Feature Extraction by Tensor Network Machine Learning

Gang Su, Shi-Ju Ran, Maciej Lewenstein, 2021, Frontiers in Applied Mathematics and Statistics.

Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling pdf

Jie Hu, Shi-Ju Ran, Peng-Fei Zhou, 2021, SciPost Physics Core.

Tensor Network Efficiently Representing Schmidt Decomposition of Quantum Many-Body States.

P. Zhou, Shi-Ju Ran, Yinghe Lu, 2022, Physical review letters.

Nature of the 1/9-magnetization plateau in the spin- 12 kagome Heisenberg antiferromagnet

Shi-Ju Ran, Dawei Fang, Gang Su, 2023, Physical Review B.

Boundary-induced singularity in strongly-correlated quantum systems at finite temperature

M. Lewenstein, Shi-Ju Ran, Guo-Feng Zhang, 2022, Quantum Science and Technology.

Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains

Shi-Ju Ran, Xiao-Han Wang, Peilu Shi, 2023, ArXiv.

Eigenstate thermalization and its breakdown in quantum spin chains with inhomogeneous interactions

Shi-Ju Ran, Javier Arguello-Luengo, P. Sierant, 2023, Physical Review B.

Quantum Entanglement Simulation Inspired by Tensor Network

M. Lewenstein, Shi-Ju Ran, C. Peng, 2020 .

Compressing neural network by tensor network with exponentially fewer variational parameters

P. Zhou, Shi-Ju Ran, Ke Li, 2023, ArXiv.

Residual Matrix Product State for Machine Learning

Shi-Ju Ran, Chao Gao, Jing Zhang, 2020, SciPost Physics.

Tensor network compressed sensing with unsupervised machine learning

M. Lewenstein, S. Fei, Shi-Ju Ran, 2019, Physical Review Research.

2 3 O ct 2 01 8 Machine Learning by Two-Dimensional Hierarchical Tensor Networks : A Quantum Information Theoretic Perspective on Deep Architectures

Raúl Blázquez García, M. Lewenstein, Ding Liu, 2018 .

Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition pdf

Xiao Zhang, Yuhan Liu, Shi-Ju Ran, 2018, ArXiv.

Visual configuration segmentation of quantum states for phase identification in many-body systems

Yuan Yang, Gang Su, Shi-Ju Ran, 2020, 2009.06259.

Deep neural network predicts parameters of quantum many-body Hamiltonians by learning visualized wave-functions pdf

Shi-Ju Ran, Z. C. Tu, Xinran Ma, 2020, ArXiv.

Deep Learning Quantum States for Hamiltonian Estimation

Z. C. Tu, Shi-Ju Ran, Xinran Ma, 2020, Chinese Physics Letters.