András Gilyén

Orcid: 0000-0001-5992-5743

According to our database1, András Gilyén authored at least 22 papers between 2017 and 2023.

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Bibliography

2023
Limitations of the Macaulay matrix approach for using the HHL algorithm to solve multivariate polynomial systems.
Quantum, July, 2023

On variants of multivariate quantum signal processing and their characterizations.
CoRR, 2023

Quantum tomography using state-preparation unitaries.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

2022
An improved quantum-inspired algorithm for linear regression.
Quantum, 2022

Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning.
J. ACM, 2022

2021
Scalable Benchmarks for Gate-Based Quantum Computers.
CoRR, 2021

(Sub)Exponential advantage of adiabatic Quantum computation with no sign problem.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

A Unified Framework of Quantum Walk Search.
Proceedings of the 38th International Symposium on Theoretical Aspects of Computer Science, 2021

2020
Quantum SDP-Solvers: Better upper and lower bounds.
Quantum, 2020

Convex optimization using quantum oracles.
Quantum, 2020

(Sub)Exponential advantage of adiabatic quantum computation with no sign problem.
CoRR, 2020

Quantum algorithm for Petz recovery channels and pretty good measurements.
CoRR, 2020

Quadratic speedup for finding marked vertices by quantum walks.
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

Distributional Property Testing in a Quantum World.
Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

Symmetries, Graph Properties, and Quantum Speedups.
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

Optimizing quantum optimization algorithms via faster quantum gradient computation.
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

Improvements in Quantum SDP-Solving with Applications.
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


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