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Luis Zuluaga

Luis F. Zuluaga

Associate Professor at Lehigh University

Luis F. Zuluaga earned his Ph.D. in operations research from the Tepper School of Business, Carnegie Mellon University. Luis also has a master’s degree in industrial engineering, and bachelor degrees in physics and electrical engineering from the University of Los Andes (Colombia). Currently, Luis is serving as Associate Professor at the Industrial and Systems Engineering (ISE) Department, Lehigh University. Luis has authored multiple articles in journals such as Operations Research, SIAM Journal on Optimization, Mathematical Programming, and Mathematics of Operations Research. Luis’ research is mainly focused on developing solution schemes and effective algorithms for problems involving optimization over polynomials; especially those arising from integer programming, probability, finance applications, and quantum computing. In the area of quantum computing, Luis recently established, in collaboration with Professors Tamás Terlaky and Xiu Yang the Quantum Computing and Optimization Laboratory (QCOL) at the ISE Department, Lehigh University. QCOL is being funded by a DARPA ONISQ grant and its purpose is to research how the potential of quantum computers can be exploited to solve complex decision-making problems. Other research by Luis has been funded by NSF, AFOSR, PITA, and the US Army OSBP. Besides his academic work, Luis has served as consultant to organizations such as the State Department of Colombia, General Re-New England Asset Management Inc., IBM Global Business Services, and PricewaterhouseCoopers, and done industry collaboration research projects with Air Products and Johnson & Johnson for the deployment of decision-making support tools.



Track: Emerging Analytics

The Quantum Computing Revolution: Challenges, Trends, Impact and Perspectives

The Quantum Computing (QC) revolution, amplified by the National Quantum Initiative Act, is spreading fast and has the potential of disrupting all industries. It is widely established that QC can revolutionize the way we perform and think about computation and be the backbone of thrilling new technologies and products. Governments and private investors are already investing hundreds of millions of dollars annually to accelerate developments in QC technologies to explore a myriad of potential applications.

The focus of this presentation will be on the impact of Quantum Computing on decision making, the potential of making decision faster and better, let it be engineering design, systems performance, supply chain, or finance. Specifically, in the mathematical optimization area, Quantum Computing has the potential to speed up problem solving tremendously and solve problems that are not solvable before. Just to mention, almost all results about “Quantum Supremacy” are about solving optimization problems.

The presentation introduces concepts of Quantum Computing, reviews state-of-the-art of QC hardware, algorithms, and software in the era of NISQ (Noisy Intermediate Scale Quantum). Projected trends of QC hardware development with challenges ahead are discussed. Computing, algorithmic, and software stack developments, along with actual and potential applications of QC Optimization, and related areas will be discussed.