András Gilyén
Orcid: 0000-0001-5992-5743
  According to our database1,
  András Gilyén
  authored at least 26 papers
  between 2017 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on orcid.org
On csauthors.net:
Bibliography
  2025
    Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025
    
  
  2024
  2023
Limitations of the Macaulay matrix approach for using the HHL algorithm to solve multivariate polynomial systems.
    
  
    Quantum, July, 2023
    
  
    CoRR, 2023
    
  
    Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023
    
  
  2022
  2021
    Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021
    
  
    Proceedings of the 38th International Symposium on Theoretical Aspects of Computer Science, 2021
    
  
  2020
    CoRR, 2020
    
  
    CoRR, 2020
    
  
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning.
    
  
    Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020
    
  
    Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020
    
  
Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension.
    
  
    Proceedings of the 31st International Symposium on Algorithms and Computation, 2020
    
  
    Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020
    
  
    Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020
    
  
  2019
Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics.
    
  
    Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019
    
  
    Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019
    
  
The Power of Block-Encoded Matrix Powers: Improved Regression Techniques via Faster Hamiltonian Simulation.
    
  
    Proceedings of the 46th International Colloquium on Automata, Languages, and Programming, 2019
    
  
    Proceedings of the 46th International Colloquium on Automata, Languages, and Programming, 2019
    
  
  2018
Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension.
    
  
    CoRR, 2018
    
  
  2017
On Preparing Ground States of Gapped Hamiltonians: An Efficient Quantum Lovász Local Lemma.
    
  
    Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017
    
  
    Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017