Curator's Take
This guest post highlights a crucial but often overlooked shift in quantum computing priorities as the field matures beyond pure hardware demonstrations. While the industry has been fixated on qubit counts and error rates, the real bottleneck is increasingly becoming the software stack needed to actually program and run useful algorithms on these machines. As quantum computers transition from laboratory curiosities to practical tools, companies and researchers are discovering that having powerful hardware means little without robust compilers, error correction software, and user-friendly programming interfaces. This perspective from Moth's CEO reflects a growing recognition that the next phase of quantum advantage will be won by those who can best bridge the gap between quantum hardware capabilities and real-world applications.
— Mark Eatherly
Summary
Guest Post by Sean Harpur, CEO of Moth When people talk about the race to build quantum computers, the conversation usually focuses on hardware. How many qubits a machine has. How stable those qubits are. How close researchers are to overcoming the engineering challenges that have held the field back for decades. Those questions matter. […]