{"id":4534,"date":"2026-04-09T15:14:37","date_gmt":"2026-04-09T19:14:37","guid":{"rendered":"https:\/\/sites.miamioh.edu\/cse-senior-design-expo\/?p=4534"},"modified":"2026-04-16T15:52:42","modified_gmt":"2026-04-16T19:52:42","slug":"solving-combinatorial-optimization-with-qc","status":"publish","type":"post","link":"https:\/\/sites.miamioh.edu\/cse-senior-design-expo\/2026\/04\/solving-combinatorial-optimization-with-qc\/","title":{"rendered":"Solving Combinatorial Optimization with QC"},"content":{"rendered":"\n
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Vision<\/td>\n Explore how quantum computing can be applied to combinatorial optimization in a practical and meaningful way. The project began with building a strong foundation in quantum computing concepts, Qiskit, and optimization methods, and it has now evolved toward implementation and demonstration.<\/td>\n <\/tr>\n\n
Mission<\/td>\n The mission of this project is to build and apply the skills needed to solve selected optimization problems with quantum computing tools. We are doing this by studying relevant theory, implementing algorithms such as QAOA in Qiskit, testing them on small benchmark problems, and presenting our progress and results clearly as a team.<\/td>\n <\/tr>\n\n
Team Members<\/td>\n Hanwen Xing, Matteo Johnson, and Anthony Gelasi<\/td>\n <\/tr>\n \n
Client<\/td>\n Dr. Zulal Sevkli<\/td>\n <\/tr>\n\n
Site<\/td>\n Project Page<\/a><\/td>\n <\/tr>\n <\/table>\n\n