World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
4674
World Ranking
2250
National Ranking
948

Lin Lin publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Lin Lin sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 150 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Lin Lin D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Lin Lin sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Lin Lin is a researcher affiliated with the University of California, Berkeley in the United States. Their work spans multiple disciplines within computer science and physics, focusing on the intersection of quantum computing and physical sciences.

The scientist's main fields of study are:

  • Computer Science
  • Physics and Astronomy

Within these fields, Lin Lin has contributed extensively to several subfields, including:

  • Artificial Intelligence
  • Atomic and Molecular Physics, and Optics
  • Materials Chemistry
  • Condensed Matter Physics
  • Computational Theory and Mathematics

The research topics frequently addressed by Lin Lin involve:

  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Quantum and electron transport phenomena
  • Advanced Chemical Physics Studies
  • Machine Learning in Materials Science
  • Physics of Superconductivity and Magnetism
  • Spectroscopy and Quantum Chemical Studies

Lin Lin's recent published papers include:

  • "Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry" (2023), published in Nature Communications
  • "86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy" (2020), published in Computer Physics Communications
  • "Heisenberg-Limited Ground-State Energy Estimation for Early Fault-Tolerant Quantum Computers" (2022), published in PRX Quantum
  • "Efficient phase-factor evaluation in quantum signal processing" (2021), published in Physical Review A
  • "Ground-State Preparation and Energy Estimation on Early Fault-Tolerant Quantum Computers via Quantum Eigenvalue Transformation of Unitary Matrices" (2022), published in PRX Quantum

Frequent coauthors collaborating with Lin Lin are:

  • Yulong Dong
  • Dong An
  • Zhiyan Ding
  • Garnet Kin-Lic Chan
  • Fabian M. Faulstich

The scholar's work appears regularly in the following publication venues:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • Quantum
  • PRX Quantum
  • Physical Review B

Best Publications

  • GW100: Benchmarking G0W0 for Molecular Systems

    Michiel J. van Setten;Michiel J. van Setten;Fabio Caruso;Fabio Caruso;Sahar Sharifzadeh;Sahar Sharifzadeh;Xinguo Ren;Xinguo Ren

  • Adaptively Compressed Exchange Operator.

    Lin Lin;Lin Lin

  • Heisenberg-limited ground state energy estimation for early fault-tolerant quantum computers

    Lin Lin;Yu Tong

  • 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

  • Approximating Spectral Densities of Large Matrices

    Lin Lin;Yousef Saad;Chao Yang

  • Large-scale ab initio simulations based on systematically improvable atomic basis

    Pengfei Li;Xiaohui Liu;Mohan Chen;Peize Lin

  • Fast algorithm for extracting the diagonal of the inverse matrix with application to the electronic structure analysis of metallic systems

    Lin Lin;Jianfeng Lu;Lexing Ying;Roberto Car

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

    Lin Lin;Chao Yang;Juan C. Meza;Jianfeng Lu

  • Efficient phase-factor evaluation in quantum signal processing

    Yulong Dong;Xiang Meng;K. Birgitta Whaley;Lin Lin;Lin Lin

  • Compressed Representation of Kohn-Sham Orbitals via Selected Columns of the Density Matrix.

    Anil Damle;Lin Lin;Lin Lin;Lexing Ying

  • ELSI: A Unified Software Interface for Kohn-Sham Electronic Structure Solvers

    Victor Wen-zhe Yu;Fabiano Corsetti;Alberto García;William P. Huhn

  • Near-optimal ground state preparation

    Lin Lin;Lin Lin;Yu Tong

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

    Lin Lin;Jianfeng Lu;Lexing Ying

  • Accelerating Atomic Orbital-based Electronic Structure Calculation via Pole Expansion and Selected Inversion

    Lin Lin;Mohan Chen;Chao Yang;Lixin He

  • Interpolative Separable Density Fitting Decomposition for Accelerating Hybrid Density Functional Calculations with Applications to Defects in Silicon

    Wei Hu;Lin Lin;Lin Lin;Chao Yang

  • Using models to improve optimizers for variational quantum algorithms

    Kevin Jeffery Sung;Kevin Jeffery Sung;Jiahao Yao;Matthew P Harrigan;Nicholas Rubin

  • Fast inversion, preconditioned quantum linear system solvers, fast Green's-function computation, and fast evaluation of matrix functions

    Yu Tong;Dong An;Nathan Wiebe;Nathan Wiebe;Nathan Wiebe;Lin Lin;Lin Lin

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

    Lin Lin;Chao Yang

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

    Jiahao Yao;Lin Lin;Marin Bukov

  • Tunneling and delocalization in hydrogen bonded systems: a study in position and momentum space

    Joseph A. Morrone;Lin Lin;Roberto Car

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

    Jiahao Yao;Lin Lin;Marin Bukov

  • Pole-Based approximation of the Fermi-Dirac function

    Lin Lin;Jianfeng Lu;Lexing Ying;E. Weinan

  • Systematically Improvable Tensor Hypercontraction: Interpolative Separable Density-Fitting for Molecules Applied to Exact Exchange, Second- and Third-Order Møller–Plesset Perturbation Theory

    Joonho Lee;Lin Lin;Martin Head-Gordon;Martin Head-Gordon

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

    Lin Lin;Lin Lin;Yu Tong

  • DGDFT: A Massively Parallel Method for Large Scale Density Functional Theory Calculations

    Wei Hu;Lin Lin;Lin Lin;Chao Yang

Frequent Co-Authors

Lexing Ying
Lexing Ying Stanford University
Jianfeng Lu
Jianfeng Lu Duke University
Wei Hu
Wei Hu Nanjing University
Roberto Car
Roberto Car Princeton University
Weinan E
Weinan E Princeton University
Steven G. Louie
Steven G. Louie University of California, Berkeley
Jinlong Yang
Jinlong Yang University of Science and Technology of China
Teresa Head-Gordon
Teresa Head-Gordon University of California, Berkeley
Lin-Wang Wang
Lin-Wang Wang Lawrence Berkeley National Laboratory

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