Overview

Quantum computing has been attracting public attention recently. This interest is driven by the advancements in hardware, software and algorithms required for its successful usage and the promise that it entails the potential acceleration of computational tasks compared to classical computing. This perspective talk presents a review of quantum computing, how this computational approach solves problems and three fields that quantum computing can potentially impact the most while relevant to chemical engineering: computational chemistry, optimisation, and machine learning.

Here, we present a series of chemical engineering applications, the developments, potential improvements concerning classical computing and challenges that quantum computing faces in each field. The first part of this talk intends to provide a clear picture of the challenges and potential advantages that quantum technology may yield for chemical engineering, together with an invitation for our colleagues to join us in the adoption and development of quantum computing. This part corresponds to the recent invited publication on Perspectives on Quantum Computing for Chemical Engineering at the AIChE Journal and received the best talk award at the Quantum Computing Applications in Chemical and Biochemical Engineering Workshop at Copenhagen.

Speaker

David E Bernal Neira, Incoming Assistant Professor, Purdue University

David is the principal investigator of the Systems Engineering via Classical and Quantum Optimization for Industrial Application (SECQUOIA) research group at Purdue University. He specialises in applying mathematical and computer science tools to address problems relevant to science and engineering, for example, physics and chemical, process and energy systems engineering. He is an Assistant Professor in the Davidson School of Chemical Engineering at Purdue University and a visiting scientist at Research Institute of Advanced Computer Science at the Universities Space Research Association and the Quantum Artificial Intelligence Laboratory at NASA Ames Research center.

The material presented in this webinar has not been peer-reviewed. Any opinions are the presenter's own and do not necessarily represent those of IChemE or the Computer Aided Process Engineering SIG. The information is given in good faith but without any liability on the part of IChemE.

Webinar archive

This webinar is free of charge and open to all to attend, but if you wish to access the slides and a recording to replay on demand then you will need to be a member of the CAPE Special Interest Group.