Increased Reliability for Near-Term Quantum Computers via Low-Level Control

Quantum computing faces a significant challenge in effectively utilizing near-term quantum processors. Current software stacks lack device-specific optimizations, leading to suboptimal performance due to quantum resource scarcity and their susceptibility to noise. This gap hampers the realization of commercially relevant quantum computing applications. This issue is addressed by developing software that integrates deep understanding of quantum hardware with end-user applications. This full-stack quantum compilation approach is tailored for device-specific optimizations, enhancing quantum program success rates. During Phase I and II, an optimizing compiler was developed for quantum computers. The compiler achieved significant advances, such as pulse-level optimized decomposition and low-level error mitigation, improving quantum program execution by at least 10 times compared to existing compilers. These efforts were validated through various academic papers, external software contributions, and the open beta release of the compiler product. The proposed Phase IIB project focuses on four technical objectives: efficient quantum characterization, optimized compilation for mid-circuit measurement, low-level compilation, and experimental demonstration of pristine resource state distillation. These are each aimed at further advancing the capabilities of quantum software to act as a force-multiplier towards commercially relevant applications. The anticipated public benefits of this research include advancements in various fields such as drug discovery, chemical simulations, aircraft design, logistics planning, and energy sector innovations. The project's success can lead to substantial improvements in agricultural yields, reductions in greenhouse gases, and enhanced competitiveness in American manufacturing.