The quantum computing landscape is undergoing a significant shift, with the focus transitioning from hardware development to software innovation. Previously, the emphasis was on creating machines with a high number of qubits and achieving stability, but now the attention is on developing practical applications and algorithms that can harness the power of quantum computing. This shift is driven by the realization that quantum computers require sophisticated software to unlock their potential. As a result, researchers are now concentrating on developing software frameworks, tools, and techniques that can optimize quantum computing performance and address the complexities of quantum error correction1. The implications of this shift are profound, as quantum computing developments are poised to challenge existing assumptions about computation and cryptography. So what matters to practitioners is that they must now prioritize software development to stay ahead in the quantum computing race.