Overcoming Compilation Bottlenecks in Utility-Scale Quantum Computing

As we move toward utility-scale quantum computing, unforeseen challenges arise in compilation—the process that converts high-level algorithms into gate-level instructions for quantum hardware. Compilation inefficiencies, such as increased circuit depth and gate counts, significantly impact performance, leading to error accumulation and algorithm failure. Effective compilers must navigate noise, hardware constraints, leverage efficient gates, and streamline circuits while balancing optimization time with quality. These challenges obstruct practical quantum applications, where minor inefficiencies can lead to significant losses.

In this work, we introduce Q-CTRL's advanced compiler, demonstrating its design and benchmarking results against industry competitors. Our compiler reduces two-qubit gate counts by up to 93% and cuts circuit duration by 94%, resulting in considerable gains in efficiency, speed, and performance. Verified on hardware, we observed an 8X improvement in success metrics. These results highlight that efficient compilation is essential to overcoming scalability challenges, playing a pivotal role in the success of utility-scale quantum computing