Harnessing problem structure for end-to-end quantum speed-ups
The research develops a framework to ensure quantum speed-ups survive when encoding classical data by exploiting inherent problem structure. It shows that using a recursive description of the problem's organization directly in state preparation can restore computational advantage, even when considering the cost of encoding. This means structured data representation is key to achieving genuine end-to-end quantum benefits.