Quantum computers have the potential to transform critical sectors such as drug discovery, materials engineering, logistics, and energy infrastructure by solving complex decision-making and resource allocation problems, commonly known as optimization problems, that challenge even the most powerful classical supercomputers. Nations worldwide are investing heavily in the development of large-scale quantum systems capable of running increasingly sophisticated programs. However, realizing practical value from quantum computing requires more than advances in hardware; it demands new approaches that coordinate hardware and software so these systems can operate reliably, efficiently, and securely. Rather than viewing useful quantum computing as dependent solely on fully error-corrected, general-purpose quantum computers designed to run a wide range of tasks, this award advances a scalable and complementary path centered on quantum optimization as a unifying and strategically important application area. By establishing design principles that align software and hardware around optimization workloads, the project seeks to accelerate the transition of quantum technologies from experimental demonstrations to practical computing tools while helping shape the architecture of future scalable systems. The integrated education plan will prepare the next generation of quantum engineers through research-based undergraduate courses, partnerships with regional colleges that have historically had limited access to quantum research, and accessible training resources for industry. Through its educational and workforce development pathways, the project will expand who contributes to and benefits from the rapidly growing field of quantum technology. This project redefines the quantum computing stack by aligning its layers around a single high-impact application: optimization workloads. A central innovation elevates the application layer into the system-level design process, enabling arc