Quantum computing's potential industrial impact hinges on bridging the gap between theoretical advancements and practical applications. Despite a growing list of mathematically sound algorithmic speedups, actual implementation relies heavily on integrating these solutions into real-world industrial contexts. This entails working backwards from specific industrial challenges to identify what needs to be computed, validated, and integrated1. The field's progress cannot be driven solely by theoretical breakthroughs, but rather requires a multidirectional approach that considers the complexities of industrial decision-making. By acknowledging this gap, researchers can refocus their efforts on developing quantum computing solutions that address concrete industrial needs. This shift in approach is crucial for unlocking the true potential of quantum computing, as it will enable the development of practical, industry-ready solutions that can drive meaningful impact, so what matters most to practitioners is the ability to translate theoretical advancements into tangible, industry-specific applications.