People – quantum.lehigh.edu

Tamás Terlaky

Tamás Terlaky’s is the George N. and Soteria Kledaras ’87 Endowed Chair Professor, Industrial, and Systems Engineering Department, Lehigh University.

Terlaky brings to the team his fundamental expertise in interior-point methods, perceptron-like, and high-performance computational optimization algorithms. Terlaky is co-author of seminal work in copositive optimization, where conic optimization, techniques beyond semidefinite optimization are used to address difficult combinatorial problems.

Terlaky’s expertise is crucial for the group’s research objectives regarding the development of new hybrid Quantum Computing-Optimization algorithms, the study of numerical complexity in Quantum Computing, and the use of Conic Optimization in Quantum Information theory. Currently, Terlakys’s research is looking at developing and studying the complexity of Quantum Interior Point Methods.

Email: tat208@lehigh.edu

Phone Number: (610) 758-2903

Online: https://cor al.ise.lehigh.edu/terlaky

Luis Zuluaga

Luis F. Zuluaga is Associate Professor, Industrial and Systems Engineering, Lehigh University

Zuluaga brings to the team his fundamental expertise in general Conic Optimization, particularly in copositive and polynomial optimization. These techniques are crucial to enlarge the class of problems that can be addressed with Quantum Interior Point Methods. Zuluaga also brings knowledge of quantum mechanics and different decomposition techniques.

Zuluaga’s expertise in these areas is crucial for the group’s research objectives regarding the development of new hybrid Quantum Computing-Optimization algorithms, the use of Conic Optimization in Quantum Information theory, and the use of Quantum Computing Algorithms for general Optimization problems. Currently, Zuluaga’s research is looking at obtaining new and improved QUBO reformulations for certain classes of Combinatorial Optimization Problems.

Email: luz212@lehigh.edu

Phone Number: (610) 758-4034

Online: https://cor al.ise.lehigh.edu/luiszuluaga

Xiu Yang

Xiu Yang is an Assistant Professor, Industrial and Systems Engineering Department, Lehigh University

Yang brings to the team his fundamental knowledge of computational quantum chemistry, computational mathematics, stochastic processes, uncertainty quantification, and many-particle systems. Furthermore, Yang is an expert in using high-performance computing resources.

Yang’s expertise in these areas is crucial for the group’s research objectives regarding the development of new hybrid Quantum Computing-Optimization algorithms, the use of Conic Optimization in Quantum Information theory, and the use of Quantum Computing Algorithms for general Optimization problems. Currently, Yang’s research is looking at studying the best ways to estimate and filter noise in Noisy Intermediate Size Quantum (NISQ) Devices.

Email: xiy518@lehigh.edu

Phone Number: (610)758-6816

Online: https://wordpress.lehigh.edu/xiy518/

Arielle Carr

Arielle Carr is an assistant professor in the Computer Science and Engineering Department, Lehigh University

Carr brings to the team a strong background in applied linear algebra and numerical analysis. Her main area of expertise lies at the intersection of iterative methods, Krylov subspace methods, and preconditioning techniques.

Carr’s expertise is crucial for the group’s research objectives regarding the development of new hybrid Quantum Computing-Optimization algorithms, the study of numerical complexity in Quantum Computing, and the use of Quantum Linear Algebra techniques to create new and improve upon existing, optimization methods. Her recent work has focused on recycling strategies for and parallel implementations of Krylov methods and preconditioners to approximately solve very large-scale linear systems and eigenproblems, including mitigation strategies for ill-conditioned Quantum Linear Systems arising in the Quantum Interior Point method.

Email: arg318@lehigh.edu

Phone Number: (610)-758-6492

Online: http://www.cse.lehigh.edu/~acarr/

Giacomo Nannicini

Giacomo Nannicini is an Associate Professor in the Daniel J. Epstein Department of Industrial & Systems Engineering.

Nannicini brings to the team his knowledge of quantum computing (QC) algorithms, complexity, and optimization. This expertise is crucial to support the work in all the proposal objectives.

His involvement in the world-wide recognized IBM’s QC research group will give the team first-hand access to IBM’s latest QC research and knowledge of the software stack

Email: g.nannicini@usc.edu

Online: https://sites.usc.edu/nannicini/

Alain Sarlette

Alain Sarlette is a Senior Researcher at QUANTIC lab (https://team.inria.fr/quantic/index.html), INRIA, Paris, and an associate professor at Ghent University, Belgium.

Alain brings to the team his expertise in quantum information (QI), quantum dynamics of typical physical systems, and applied mathematics (dynamical systems and signals, feedback and control theory).

Email: alain.sarlette@inria.fr

Online: https://users.ugent.be/~asarlet/

Stefan Wild

Stefan Wild is the Deputy Director of the Mathematics and Computer Science Division, Argonne National Laboratory (https://www.anl.gov/) and Senior Fellow at Northwestern University (https://www.northwestern.edu/).

Wild brings to the team his fundamental knowledge in computational mathematics and optimization under uncertainty. Wild is directing and performing research in quantum chemistry and Quantum Information.

His expertise is crucial to support the work in all the proposal objectives. Moreover, his involvement with Argonne will give the team first-hand access to Argonne’s computing resources and their research results on Quantum Computing.

Email: wild@anl.gov

Online: https://www.anl.gov/profile/stefan-m-wild