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personal data approved: 2023. VI. 02.
Personal data
András Gilyén
name András Gilyén
name of institution
doctoral school
BME Doctoral School of Mathematics and Computer Sciences (Announcer of research topic)
ELTE Doctoral School of Informatics (Supervisor)
ELTE Doctoral School of Mathematics (Announcer of research topic)
ELTE Doctoral School of Physics (Announcer of research topic)
the share of work in the different doctoral schools. BME Doctoral School of Mathematics and Computer Sciences 100%
Contact details
E-mail address gilyenrenyi.hu
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2019
discipline to which degree belongs mathematics and computing
institution granting the degree University of Amsterdam
Employment
2021 - Rényi Alfréd Matematikai Kutatóintézet
other (not specified) (tudományos munkatárs)
Thesis topic supervisor
number of doctoral students supervised until now 0
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
Sára Pituk (PhD) (2026/08)  IDI2-ELTE
  Thesis topic proposals
Research
research area Quantum algorithms and complexity, with a particular focus on quantum linear algebra methods (quantum singular value transformation and the block-encoding framework), optimization, and quantum walks.
research field in which current research is conducted mathematics and computing
physics
Publications
2023

van Apeldoorn Joran, Cornelissen Arjan, Gilyén András, Nannicini Giacomo: Quantum tomography using state-preparation unitaries, In: Nagarajan, Viswanath; Bansal, Nikhil (szerk.) Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Society for Industrial and Applied Mathematics (2023) pp. 1265-1318.
type of document: Part of book/Proceedings Paper
number of independent citations: 22
language: English
URL 
2022

Chia Nai-Hui, Gilyen Andras Pal, Li Tongyang, Lin Han-Hsuan, Tang Ewin, Wang Chunhao: Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning, JOURNAL OF THE ACM 69: (5) 33
type of document: Journal paper/Article
number of independent citations: 52
language: English
URL 
2022

Gilyén A., Song Z., Tang E.: An improved quantum-inspired algorithm for linear regression, QUANTUM 6: 754
type of document: Journal paper/Article
number of independent citations: 23
language: English
URL 
2021

Gilyén A., Hastings M.B., Vazirani U.: (Sub)Exponential advantage of adiabatic Quantum computation with no sign problem, In: Khuller, S.; Williams, V.V. (szerk.) 53rd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2021, Association for Computing Machinery (ACM) (2021) pp. 1357-1369.
type of document: Part of book/Proceedings Paper
number of independent citations: 20
language: English
URL 
2020

Ben-David S., Childs A.M., Gilyen A., Kretschmer W., Podder S., Wang D.: Symmetries, graph properties, and quantum speedups, In: IEEE (szerk.) 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS), IEEE (2020) pp. 649-660.
type of document: Part of book/Proceedings Paper
number of independent citations: 14
language: English
URL 
2020

Ambainis A., Gilyén A., Jeffery S., Kokainis M.: Quadratic speedup for finding marked vertices by quantum walks, In: Chuzhoy, J.; Kamath, G.; Tulsiani, M.; Makarychev, Y.; Makarychev, K. (szerk.) 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, Association for Computing Machinery (ACM) (2020) pp. 412-424.
type of document: Part of book/Proceedings Paper
number of independent citations: 30
language: English
URL 
2020

van Apeldoorn J., Gilyén A., Gribling S., de Wolf R.: Convex optimization using quantum oracles, QUANTUM 4: p. 220.
type of document: Journal paper/Article
number of independent citations: 40
language: English
URL 
2020

van Apeldoorn J., Gilyén A., Gribling S., de Wolf R.: Quantum SDP-Solvers: Better upper and lower bounds, QUANTUM 4: p. 230.
type of document: Journal paper/Article
number of independent citations: 49
language: English
URL 
2019

Gilyén A., Su Y., Low G.H., Wiebe N.: Quantum singular value transformation and beyond: Exponential improvements for quantum matrix arithmetics, In: Charikar, M.; Cohen, E. (szerk.) STOC 2019 Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, Association for Computing Machinery (ACM) (2019) pp. 193-204.
type of document: Part of book/Proceedings Paper
number of independent citations: 273
language: English
URL 
2019

Gilyén A., Arunachalam S., Wiebe N.: Optimizing quantum optimization algorithms via faster quantum gradient computation, In: 30th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2019, Association for Computing Machinery (ACM) (2019) pp. 1425-1444.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 61
language: English
URL 
Number of independent citations to these publications:584 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
26
number of scientific publications:
26
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
996

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )