Beyond Hardware: Adaptive Algorithmic Control by State-Proxy Equalization
The paper introduces Adaptive Algorithmic Control (A2C), a software method that optimizes quantum computation by focusing on computational hardness rather than physical time. It uses a State-Proxy Equalization theorem to determine the best way to distribute computational resources along an algorithm's path, showing that adapting the schedule based on state dynamics significantly improves performance across various problem sizes.