Insider Brief
USC researcher Ibrahim Sabek has received a $627,250 NSF CAREER Award to develop hybrid classical-quantum approaches for improving database system optimization.
The five-year project aims to integrate quantum processors into database engines to address complex optimization tasks such as query planning, transaction scheduling, and index selection.
The research will explore which database optimization problems could benefit from quantum advantages while developing practical tools for database developers.
The study is based on USC Viterbi research materials and story is taken directly from them.
