This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $200,000 to Purdue University to advance quantum computing and constrained optimization algorithms. The project, titled "CQIS: CONSTRAINED OPTIMIZATION ON A VARIATIONAL QUANTUM COMPUTER: PROBLEM MODELING, ALGORITHMIC DESIGN, AND PERFORMANCE ANALYSIS", aims to develop a comprehensive hybrid quantum/classical computing framework for solving optimization problems with constraints using variational quantum circuits (VQCs). The key objectives are to: 1) devise novel iterative algorithms for optimizing VQC parameters to handle constrained optimization problems, 2) chart the types of optimization problems that could be addressed by this framework, and 3) analyze the performance impacts of solving optimization problems in variational quantum form rather than their original form. This research is expected to significantly expand the applicability of VQCs and inform the development of future optimization software packages integrating quantum processing capabilities. The award period is from September 1, 2024 to August 31, 2027.
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