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Tamás Terlaky
Tamás Terlaky

Tamás Terlaky

Alcoa Foundation Endowed Chair Professor, Lehigh University;
President and Co-Founder, Optamo LLC
Bio

Dr. Terlaky is the Alcoa Foundation Endowed Chair Professor at Lehigh University, and also President and Co-Founder of Optamo LLC, a start-up company specialized to optimize the business processes of large correctional systems.

Dr. Terlaky has published four books, edited over ten books and journal special issues and published over 240 research papers. Topics include theoretical and algorithmic foundations of mathematical optimization; nuclear reactor core reloading, oil refinery, VLSI design, radiation therapy treatment, and inmate assignment optimization; quantum computing.

Dr. Terlaky is Editor-in-Chief of the Journal of Optimization Theory and Applications. He has served as associate editor of ten journals and has served as conference chair, conference organizer, and distinguished invited speaker at conferences all over the world. He was general Chair of the INFORMS 2015 Annual Meeting, a former Chair of INFORMS’ Optimization Society, Chair of the ICCOPT Steering Committee of the Mathematical Optimization Society, Chair of the SIAM AG Optimization, and Vice President of INFORMS. He received the MITACS Mentorship Award; Award of Merit of the Canadian Operational Research Society, Egerváry Award of the Hungarian Operations Research Society, H.G. Wagner Prize of INFORMS, Outstanding Innovation in Service Science Engineering Award of IISE. He is Fellow of INFORMS, SIAM, IFORS, The Fields Institute, and elected Fellow of the Canadian Academy of Engineering.


QC&OR: Where we are and what to expect - with historic perspectives

This talk helps to understand why an OR and Analytics practitioner should care about Quantum Computing (QC) as this new computing technology is expected to impact Analytics and OR.

One of the main goal is to give an independent review of where we are, what is the state of QC hardware. Numerous device developer using a wide range of rapidly evolving technologies. We reflect what to expect as developments point towards achieving fault tolerant quantum computers, hopefully operating on room temperature.

We also discuss some of the key algorithm classes and what optimization/business problems they intend to solve, with available software stacks. We flesh some novel, quantum and quantum inspired algorithms, such as Quantum  Interior Point Methods, while many algorithms today may operate on quantum simulators and hybrid computing environments. Historic perspectives may relate quantum computing developments to main milestones of digital computing developments. We need well informed OR/analytics user/practitioners who are well prepared for embracing the emerging quantum computing revolution.  How soon the revolution completes is anyone’s guess, but it pays to stay informed and understand what’s realistic.

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