Tamas Terlaky

Tamas Terlaky

Lehigh University

H-index: 51

North America-United States

About Tamas Terlaky

Tamas Terlaky, With an exceptional h-index of 51 and a recent h-index of 23 (since 2020), a distinguished researcher at Lehigh University, specializes in the field of optimization, operations research.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Efficient Quantum Algorithm for Linear System Problem in Tensor Format

Accurately solving linear systems with quantum oracles

On semidefinite representations of second-order conic optimization problems

An inexact feasible interior point method for linear optimization with high adaptability to quantum computers

Quantum Computing Inspired Iterative Refinement for Semidefinite Optimization

Solving the semidefinite relaxation of QUBOs in matrix multiplication time, and faster with a quantum computer

Quantum Interior Point Methods for Conic Linear Optimization

A quantum central path algorithm for linear optimization

Tamas Terlaky Information

University

Position

Endowed Chair Professor Industrial and Systems Engineering

Citations(all)

11297

Citations(since 2020)

2833

Cited By

9641

hIndex(all)

51

hIndex(since 2020)

23

i10Index(all)

177

i10Index(since 2020)

59

Email

University Profile Page

Lehigh University

Google Scholar

View Google Scholar Profile

Tamas Terlaky Skills & Research Interests

optimization

operations research

Top articles of Tamas Terlaky

Title

Journal

Author(s)

Publication Date

An Efficient Quantum Algorithm for Linear System Problem in Tensor Format

arXiv preprint arXiv:2403.19829

Zeguan Wu

Sidhant Misra

Tamás Terlaky

Xiu Yang

Marc Vuffray

2024/3/28

Accurately solving linear systems with quantum oracles

APS March Meeting Abstracts

Mohammadhossein Mohammadisiahroudi

Ramin Fakhimi

Brandon Augustino

Tamás Terlaky

Giacomo Nannicini

2023

On semidefinite representations of second-order conic optimization problems

arXiv preprint arXiv:2301.12007

Pouya Sampourmahani

Mohammadhossein Mohammadisiahroudi

Tamás Terlaky

2023/1/27

An inexact feasible interior point method for linear optimization with high adaptability to quantum computers

Mohammadhossein Mohammadisiaroudi

Ramin Fakhimi

Tamas Terlaky

2021

Quantum Computing Inspired Iterative Refinement for Semidefinite Optimization

arXiv preprint arXiv:2312.11253

Mohammadhossein Mohammadisiahroudi

Brandon Augustino

Pouya Sampourmahani

Tamás Terlaky

2023/12/18

Solving the semidefinite relaxation of QUBOs in matrix multiplication time, and faster with a quantum computer

arXiv preprint arXiv:2301.04237

Brandon Augustino

Giacomo Nannicini

Tamás Terlaky

Luis Zuluaga

2023/1/10

Quantum Interior Point Methods for Conic Linear Optimization

Brandon Augustino

Tamás Terlaky

2023/7/11

A quantum central path algorithm for linear optimization

arXiv preprint arXiv:2311.03977

Brandon Augustino

Jiaqi Leng

Giacomo Nannicini

Tamás Terlaky

Xiaodi Wu

2023/11/7

Quantum IPMs for Linear Optimization

MOHAMMADHOSSEIN MOHAMMADISIAHROUDI

TAMÁS TERLAKY

2023/1/5

A bayesian approach for characterizing and mitigating gate and measurement errors

ACM Transactions on Quantum Computing

Muqing Zheng

Ang Li

Tamás Terlaky

Xiu Yang

2023/2/24

Improvements to quantum interior point method for linear optimization

arXiv preprint arXiv:2310.07574

Mohammadhossein Mohammadisiahroudi

Zeguan Wu

Brandon Augustino

Arriele Carr

Tamás Terlaky

2023/10/11

On Hamiltonians of the Max k-cut Problem

RAMIN FAKHIMI

HAMIDREZA VALIDI

ILLYA V HICKS

TAMÁS TERLAKY

LUIS F ZULUAGA

2023

An inexact feasible quantum interior point method for linearly constrained quadratic optimization

quantum

Brandon Augustino

GIACOMO NANNICINI

TAMÁS TERLAKY

Luis F Zuluaga

2021/4/29

Quantum interior point methods for semidefinite optimization

Quantum

Brandon Augustino

Giacomo Nannicini

Tamás Terlaky

Luis F Zuluaga

2023/9/11

Polyhedral Structure of Penalty Constants in Quadratic Unconstrained Binary Optimization and Applications to Quantum Computing

APS March Meeting Abstracts

Rodolfo Alexander Quintero Ospina

Luis Zuluaga

Tamás Terlaky

Juan Vera

2023

Generating linear, semidefinite, and second-order cone optimization problems for numerical experiments

arXiv preprint arXiv:2302.00711

Mohammadhossein Mohammadisiahroudi

Ramin Fakhimi

Brandon Augustino

Tamás Terlaky

2023/2/1

On relaxations of the max k-cut problem formulations

Operations Research Letters

Ramin Fakhimi

Hamidreza Validi

Illya V Hicks

Tamás Terlaky

Luis F Zuluaga

2023/9/1

Characterization of QUBO reformulations for the maximum k-colorable subgraph problem

Quantum Information Processing

Rodolfo Quintero

David Bernal

Tamás Terlaky

Luis F Zuluaga

2022/3

Quantum-enhanced regression analysis using state-of-the-art QLSAs and QIPMs

Mohammadhossein Mohammadisiahroudi

Zeguan Wu

Brandon Augustino

Tamás Terlaky

Arielle Carr

2022/12/5

Celebrating 20 years of EUROpt

Miguel F Anjos

Tibor Illés

Tamás Terlaky

2022/1/1

See List of Professors in Tamas Terlaky University(Lehigh University)

Co-Authors

H-index: 54
C. Roos

C. Roos

Technische Universiteit Delft

H-index: 49
Michael Sharpe

Michael Sharpe

University of Toronto

H-index: 34
Ted Ralphs

Ted Ralphs

Lehigh University

H-index: 31
François Glineur

François Glineur

Université Catholique de Louvain

H-index: 26
Pietro Belotti

Pietro Belotti

Politecnico di Milano

H-index: 19
Akiko Yoshise

Akiko Yoshise

University of Tsukuba

academic-engine