Join the Process Development Division, October 1st at 3:00 PM EST for our live webinar presentation, "Solving Unsolvable Problems: A Chemical Engineer’s Field Guide to Quantum Computing" presented by Austin Lin and David Bernal. Registration is open to all and can be done via the button below.
Presentation Abstract:
With a 2025 McKinsey study projecting that revenues from quantum computing will reach $72 billion by 2035, chemical sciences and chemical modeling has become the top application area of interest pursued by quantum technology companies. But the technology is still catching up to reality as quantum hardware, software and technology standards continue evolving. How can quantum computing affect chemical engineering? What are areas of research, and which companies are emerging in this space? This talk will present a high-level introduction to quantum computing, its differences between current, or classical, computing, including supercomputing, and its applications to chemical engineering. For quantum computing applications to be valuable, input from a wide range of interdisciplinary experts will be needed. This session is intended to start those conversations and show how chemical engineering expertise will be a critical area for applying quantum computing as the field continues to grow.
Speaker Bios:
Austin S. Lin serves as Chair of the United States National Committee to the IEC/ISO Joint Technical Committee on Quantum Technology Standards (JTC 3). He has served as a Director for Chemical Engineering Technology Operating Council (CTOC) and is Past Chair of the AIChE Management Division. He holds a B.S. in chemical engineering from Johns Hopkins University and is a Fellow of AIChE and of the American Society for Quality (ASQ).
David E. Bernal Neira is an Assistant Professor in the Davidson School of Chemical Engineering at Purdue University. His research focuses on the use of mathematical and computational methods to address scientific and engineering problems, particularly in process systems, energy, and chemical engineering. His core expertise lies in nonlinear discrete optimization, where he develops theory, algorithms, and software. He also conducts research in quantum computing and its intersection with optimization. He has co-authored several peer-reviewed publications, developed software tools, and delivered talks and seminars across academia, government, and industry. He has taught multiple courses, including one at the intersection of optimization, quantum computing, and machine learning, which he co-designed. He actively collaborates with researchers across academic institutions, national labs, government agencies, and industry.
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