Lin Lin

According to our database, Lin Lin authored at least 81 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Worth Their Weight: Randomized and Regularized Block Kaczmarz Algorithms without Preprocessing.

Gil Goldshlager, Jiang Hu, Lin Lin

CoRR, February, 2025

2024

Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices.

Daan Camps, Lin Lin, Roel Van Beeumen, Chao Yang

SIAM J. Matrix Anal. Appl., March, 2024

Finite-size effects in periodic coupled cluster calculations.

Xin Xing, Lin Lin

J. Comput. Phys., March, 2024

Robust Iterative Method for Symmetric Quantum Signal Processing in All Parameter Regimes.

Yulong Dong, Lin Lin, Hongkang Ni, Jiasu Wang

SIAM J. Sci. Comput., 2024

Laplace transform based quantum eigenvalue transformation via linear combination of Hamiltonian simulation.

Dong An, Andrew M. Childs, Lin Lin, Lexing Ying

CoRR, 2024

A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions.

Gil Goldshlager, Nilin Abrahamsen, Lin Lin

CoRR, 2024

The ESPRIT Algorithm Under High Noise: Optimal Error Scaling and Noisy Super-Resolution.

Zhiyan Ding, Ethan N. Epperly, Lin Lin, Ruizhe Zhang

Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

2023

Time-marching based quantum solvers for time-dependent linear differential equations.

Di Fang, Lin Lin, Yu Tong

Quantum, March, 2023

Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation.

Jeffmin Lin, Gil Goldshlager, Lin Lin

J. Comput. Phys., February, 2023

Efficient long-range convolutions for point clouds.

Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez

J. Comput. Phys., 2023

Quantum algorithm for linear non-unitary dynamics with near-optimal dependence on all parameters.

Dong An, Andrew M. Childs, Lin Lin

CoRR, 2023

Dense outputs from quantum simulations.

Jin-Peng Liu, Lin Lin

CoRR, 2023

Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost.

Dong An, Jin-Peng Liu, Lin Lin

CoRR, 2023

2022

A Theory of Quantum Subspace Diagonalization.

Ethan N. Epperly, Lin Lin, Yuji Nakatsukasa

SIAM J. Matrix Anal. Appl., September, 2022

On the energy landscape of symmetric quantum signal processing.

Jiasu Wang, Yulong Dong, Lin Lin

Quantum, September, 2022

Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics and Superconvergence for Schrödinger Equation.

Dong An, Di Fang, Lin Lin

Quantum, 2022

Towards sharp error analysis of extended Lagrangian molecular dynamics.

Dong An, Lin Lin, Michael Lindsey

J. Comput. Phys., 2022

Parallel transport dynamics for mixed quantum states with applications to time-dependent density functional theory.

Dong An, Di Fang, Lin Lin

J. Comput. Phys., 2022

KSSOLV 2.0: An efficient MATLAB toolbox for solving the Kohn-Sham equations with plane-wave basis set.

Shizhe Jiao, Zhenlin Zhang, Kai Wu, Lingyun Wan, Huanhuan Ma, Jielan Li, Sheng Chen, Xinming Qin, Jie Liu, Zijing Ding, Jinlong Yang, Yingzhou Li, Wei Hu, Lin Lin, Chao Yang

Comput. Phys. Commun., 2022

Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices.

Yulong Dong, Lin Lin, Yu Tong

CoRR, 2022

Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrice.

Daan Camps, Lin Lin, Roel Van Beeumen, Chao Yang

CoRR, 2022

Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits.

Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2021

Low-Rank Representation of Tensor Network Operators with Long-Range Pairwise Interactions.

Lin Lin, Yu Tong

SIAM J. Sci. Comput., 2021

Time-dependent unbounded Hamiltonian simulation with vector norm scaling.

Dong An, Di Fang, Lin Lin

Quantum, 2021

Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks.

Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin

J. Comput. Phys., 2021

Convergence of stochastic-extended Lagrangian molecular dynamics method for polarizable force field simulation.

Dong An, Sara Y. Cheng, Teresa Head-Gordon, Lin Lin, Jianfeng Lu

J. Comput. Phys., 2021

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with <i>ab initio</i> accuracy.

Denghui Lu, Han Wang, Mohan Chen, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang

Comput. Phys. Commun., 2021

Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics.

Dong An, Di Fang, Lin Lin

CoRR, 2021

Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks.

Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Spare Aeroengine Demand Prediction Model Based on Deep Croston Method.

Jie Liu, Lin Lin, Zhen Li, Hao Guo, Yancheng Lv

J. Aerosp. Inf. Syst., February, 2020

Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization.

Yuehaw Khoo, Lin Lin, Michael Lindsey, Lexing Ying

SIAM J. Sci. Comput., 2020

Near-optimal ground state preparation.

Lin Lin, Yu Tong

Quantum, 2020

Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems.

Lin Lin, Yu Tong

Quantum, 2020

Quantum Dynamics with the Parallel Transport Gauge.

Dong An, Lin Lin

Multiscale Model. Simul., 2020

Mesh independence of the generalized Davidson algorithm.

C. T. Kelley, Jerry Bernholc, E. L. Briggs, Steven P. Hamilton, Lin Lin, Chao Yang

J. Comput. Phys., 2020

ELSI - An open infrastructure for electronic structure solvers.

Victor Wen-zhe Yu, Carmen Campos, William Dawson, Alberto García, Ville Havu, Ben Hourahine, William P. Huhn, Mathias Jacquelin, Weile Jia, Murat Keçeli, Raul Laasner, Yingzhou Li, Lin Lin, Jianfeng Lu, Jonathan Moussa, José E. Román, Álvaro Vázquez-Mayagoitia, Chao Yang, Volker Blum

Comput. Phys. Commun., 2020

Reinforcement Learning for Many-Body Ground State Preparation based on Counter-Diabatic Driving.

Jiahao Yao, Lin Lin, Marin Bukov

CoRR, 2020

Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions.

Yu Tong, Dong An, Nathan Wiebe, Lin Lin

CoRR, 2020

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy.

Denghui Lu, Han Wang, Mohan Chen, Jiduan Liu, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang

CoRR, 2020

Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the needle in a haystack.

Jiefu Zhang, Leonardo Zepeda-Núñez, Yuan Yao, Lin Lin

CoRR, 2020

Split representation of adaptively compressed polarizability operator.

Dong An, Lin Lin, Ze Xu

CoRR, 2020

Pushing the limit of molecular dynamics with <i>ab initio</i> accuracy to 100 million atoms with machine learning.

Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang

Proceedings of the International Conference for High Performance Computing, 2020

Policy Gradient based Quantum Approximate Optimization Algorithm.

Jiahao Yao, Marin Bukov, Lin Lin

Proceedings of Mathematical and Scientific Machine Learning, 2020

2019

Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints.

Jiang Hu, Bo Jiang, Lin Lin, Zaiwen Wen, Ya-Xiang Yuan

SIAM J. Sci. Comput., 2019

Projection-Based Embedding Theory for Solving Kohn-Sham Density Functional Theory.

Lin Lin, Leonardo Zepeda-Núñez

Multiscale Model. Simul., 2019

Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators.

Yingzhou Li, Lin Lin

Multiscale Model. Simul., 2019

A Multiscale Neural Network Based on Hierarchical Matrices.

Yuwei Fan, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez

Multiscale Model. Simul., 2019

Variational Formulation for Wannier Functions with Entangled Band Structure.

Anil Damle, Antoine Levitt, Lin Lin

Multiscale Model. Simul., 2019

Fast real-time time-dependent hybrid functional calculations with the parallel transport gauge and the adaptively compressed exchange formulation.

Weile Jia, Lin Lin

Comput. Phys. Commun., 2019

Universal approximation of symmetric and anti-symmetric functions.

Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang

CoRR, 2019

Solving quantum linear system problem with near-optimal complexity.

Lin Lin, Yu Tong

CoRR, 2019

Variational embedding for quantum many-body problems.

Lin Lin, Michael Lindsey

CoRR, 2019

Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm.

Dong An, Lin Lin

CoRR, 2019

Numerical methods for Kohn-Sham density functional theory.

Lin Lin, Jianfeng Lu, Lexing Ying

Acta Numer., 2019

Parallel transport time-dependent density functional theory calculations with hybrid functional on summit.

Weile Jia, Lin-Wang Wang, Lin Lin

Proceedings of the International Conference for High Performance Computing, 2019

2018

A Structure Preserving Lanczos Algorithm for Computing the Optical Absorption Spectrum.

Meiyue Shao, Felipe H. da Jornada, Lin Lin, Chao Yang, Jack Deslippe, Steven G. Louie

SIAM J. Matrix Anal. Appl., 2018

PSelInv - A distributed memory parallel algorithm for selected inversion: The non-symmetric case.

Mathias Jacquelin, Lin Lin, Chao Yang

Parallel Comput., 2018

Disentanglement via Entanglement: A Unified Method for Wannier Localization.

Anil Damle, Lin Lin

Multiscale Model. Simul., 2018

ELSI: A unified software interface for Kohn-Sham electronic structure solvers.

Victor Wen-zhe Yu, Fabiano Corsetti, Alberto García, William P. Huhn, Mathias Jacquelin, Weile Jia, Björn Lange, Lin Lin, Jianfeng Lu, Wenhui Mi, Ali Seifitokaldani, Álvaro Vázquez-Mayagoitia, Chao Yang, Haizhao Yang, Volker Blum

Comput. Phys. Commun., 2018

Accelerating Optical Absorption Spectra and Exciton Energy Computation via Interpolative Separable Density Fitting.

Wei Hu, Meiyue Shao, Andrea Cepellotti, Felipe H. da Jornada, Lin Lin, Kyle Thicke, Chao Yang, Steven G. Louie

Proceedings of the Computational Science - ICCS 2018, 2018

A Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory Systems.

Mathias Jacquelin, Lin Lin, Weile Jia, Yonghua Zhao, Chao Yang

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2018

2017

PSelInv - A Distributed Memory Parallel Algorithm for Selected Inversion: The Symmetric Case.

Mathias Jacquelin, Lin Lin, Chao Yang

ACM Trans. Math. Softw., 2017

Computing Localized Representations of the Kohn-Sham Subspace Via Randomization and Refinement.

Anil Damle, Lin Lin, Lexing Ying

SIAM J. Sci. Comput., 2017

Localized spectrum slicing.

Lin Lin

Math. Comput., 2017

Adaptively Compressed Polarizability Operator for Accelerating Large Scale <i>Ab Initio</i> Phonon Calculations.

Lin Lin, Ze Xu, Lexing Ying

Multiscale Model. Simul., 2017

Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework II: Force, vibration, and molecular dynamics calculations.

Gaigong Zhang, Lin Lin, Wei Hu, Chao Yang, John E. Pask

J. Comput. Phys., 2017

SCDM-k: Localized orbitals for solids via selected columns of the density matrix.

Anil Damle, Lin Lin, Lexing Ying

J. Comput. Phys., 2017

2016

Approximating Spectral Densities of Large Matrices.

Lin Lin, Yousef Saad, Chao Yang

SIAM Rev., 2016

Enhancing Scalability and Load Balancing of Parallel Selected Inversion via Tree-Based Asynchronous Communication.

Mathias Jacquelin, Lin Lin, Nathan Wichmann, Chao Yang

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015

Numerical integration for ab initio many-electron self energy calculations within the GW approximation.

Fang Liu, Lin Lin, Derek Vigil-Fowler, Johannes Lischner, Alexander F. Kemper, Sahar Sharifzadeh, Felipe H. da Jornada, Jack Deslippe, Chao Yang, Jeffrey B. Neaton, Steven G. Louie

J. Comput. Phys., 2015

Enhancing the scalability and load balancing of the parallel selected inversion algorithm via tree-based asynchronous communication.

Mathias Jacquelin, Lin Lin, Nathan Wichmann, Chao Yang

CoRR, 2015

2014

Pole Expansion for Solving a Type of Parametrized Linear Systems in Electronic Structure Calculations.

Anil Damle, Lin Lin, Lexing Ying

SIAM J. Sci. Comput., 2014

Parallel eigenvalue calculation based on multiple shift-invert Lanczos and contour integral based spectral projection method.

Hasan Metin Aktulga, Lin Lin, Christopher Haine, Esmond G. Ng, Chao Yang

Parallel Comput., 2014

Analysis of Time Reversible Born-Oppenheimer Molecular Dynamics.

Lin Lin, Jianfeng Lu, Sihong Shao

Entropy, 2014

2013

Elliptic Preconditioner for Accelerating the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory.

Lin Lin, Chao Yang

SIAM J. Sci. Comput., 2013

Efficient iterative method for solving the Dirac-Kohn-Sham density functional theory.

Lin Lin, Sihong Shao, Weinan E

J. Comput. Phys., 2013

2012

Optimized local basis set for Kohn-Sham density functional theory.

Lin Lin, Jianfeng Lu, Lexing Ying, Weinan E

J. Comput. Phys., 2012

Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation.

Lin Lin, Jianfeng Lu, Lexing Ying, Weinan E

J. Comput. Phys., 2012

2011

SelInv - An Algorithm for Selected Inversion of a Sparse Symmetric Matrix.

Lin Lin, Chao Yang, Juan C. Meza, Jianfeng Lu, Lexing Ying, Weinan E

ACM Trans. Math. Softw., 2011

A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calculations.

Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Weinan E

SIAM J. Sci. Comput., 2011

Fast construction of hierarchical matrix representation from matrix-vector multiplication.

Lin Lin, Jianfeng Lu, Lexing Ying

J. Comput. Phys., 2011