Quantum Algorithms For Eigenvalue Problems Lin Lin

By Editorial Team · October 16, 2026 · 7 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 Unsupervised NNs for Quantum Eigenvalue Problems - NeurIPS ML4PS 2020 News
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Developments

Details Lin Lin: Quantum computation of Green's functions Update
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AN20: Solving Eigenvalue Problems in High Dimension
AN20: Solving Eigenvalue Problems in High Dimension
Lin Lin - Large scale hybrid DFT functionals: fast algorithms and finite-size effects - IPAM at UCLA
Lin Lin - Large scale hybrid DFT functionals: fast algorithms and finite-size effects - IPAM at UCLA
Quantum Linear Algebra With Near-Optimal Complexities
Quantum Linear Algebra With Near-Optimal Complexities
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
Lin Lin - Quantum numerical linear algebra
Lin Lin - Quantum numerical linear algebra
Lecture 27 - Eigenvalue Algorithm | Quantum computing
Lecture 27 - Eigenvalue Algorithm | Quantum computing
Near term algorithms | VQE | Variational Quantum Eigensolver
Near term algorithms | VQE | Variational Quantum Eigensolver
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

Deep Dive

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Last Updated: October 16, 2026

Final Thoughts

Information Dong An: Quantum algorithms for linear differential equations and eigenvalue... (QIP 2025) News
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Summary

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 USC CAMS Colloquium, October 11th, 2021. A brief explanation of Variational Recorded 27 January 2022. Jin-Peng Liu of the University of Maryland presents "Efficient

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