Quantum Algorithms For Eigenvalue Problems Lin Lin

By Editorial Team · September 28, 2026 · 8 min read

Quantum Algorithms For Eigenvalue Problems Lin Lin Information Guide

  1. About to Quantum Algorithms For Eigenvalue Problems Lin Lin
  2. Key Details
  3. Developments
  4. Deep Dive
  5. Final Thoughts

About to Quantum Algorithms For Eigenvalue Problems Lin Lin

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Key Details

Details How to Find a Quantum Ground State Without Diagonalizing a Huge Matrix News
Explore the primary sources for Quantum Algorithms For Eigenvalue Problems Lin Lin.

Developments

Details Dong An: Quantum algorithms for linear differential equations and eigenvalue... (QIP 2025) Update
Stay updated on Quantum Algorithms For Eigenvalue Problems Lin Lin's newest achievements.

Quantum Linear Algebra With Near-Optimal Complexities
Quantum Linear Algebra With Near-Optimal Complexities
Lin Lin: Quantum computation of Green's functions
Lin Lin: Quantum computation of Green's functions
Unsupervised NNs for Quantum Eigenvalue Problems - NeurIPS ML4PS 2020
Unsupervised NNs for Quantum Eigenvalue Problems - NeurIPS ML4PS 2020
Rolando Somma: Quantum Algorithms for Systems of Linear Equations
Rolando Somma: Quantum Algorithms for Systems of Linear Equations
AN20: Solving Eigenvalue Problems in High Dimension
AN20: Solving Eigenvalue Problems in High Dimension
Eigenvalue Problems Derivation of Methods (Eric de Sturler, VaTech)
Eigenvalue Problems Derivation of Methods (Eric de Sturler, VaTech)
Rolando Somma - The Quantum Linear Systems Problem - IPAM at UCLA
Rolando Somma - The Quantum Linear Systems Problem - IPAM at UCLA
Lin Lin - Quantum impurity and quantum embedding theory - IPAM at UCLA
Lin Lin - Quantum impurity and quantum embedding theory - IPAM at UCLA
0118_1530_ALG_A Quantum Speed Up for Approximating the Top Eigenvector of a Matrix_Yanlin Chen
0118_1530_ALG_A Quantum Speed Up for Approximating the Top Eigenvector of a Matrix_Yanlin Chen
Jin-Peng Liu - Efficient quantum algorithms for nonlinear ODEs and PDEs - IPAM at UCLA
Jin-Peng Liu - Efficient quantum algorithms for nonlinear ODEs and PDEs - IPAM at UCLA
4-1 Introduction to eigenvalue problems
4-1 Introduction to eigenvalue problems

Deep Dive

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Last Updated: September 28, 2026

Final Thoughts

Information Lin Lin - Large scale hybrid DFT functionals: fast algorithms and finite-size effects - IPAM at UCLA News
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Summary

How can we estimate the ground-state energy of a large Video summary of our work on unsupervised neural networks for Thursday, July 16 12:00 PM - 12:45 PM The leading Lecture delivered at 2012 Summer School on Computational Materials Science: " Recorded 24 January 2022. Rolando Somma of Los Alamos National Laboratory presents "The Recorded 27 January 2022. Jin-Peng Liu of the University of Maryland presents "Efficient Link to slides: dropbox.com/s/qwn0y38trwnmudh/4-1%20introduction%20to%20eigenvalue%20problems.pdf?dl=0 In ...

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