Summary
This project aims to serve the national interest by developing instructional materials that enhance student learning in three areas: introductory quantum computing (QC), quantum machine learning (QML), and QC applied to quantum chemistry (QCChem). This project falls under IUSE:EDU NSF 23-510 Track 1: Engaged Student Learning, Level 1. QC is significant because it has the potential to solve large-scale problems more efficiently than conventional computing, which could be transformative in areas such as drug discovery, artificial intelligence, financial modeling, and digital security. This project
