During July 2025, Yates developed a backend concurrency control feature for the quantumlib/Cirq repository, focusing on reliability and quota management. They introduced a max_concurrent_jobs parameter to the Engine.get_sampler() method, enabling users to cap the number of concurrent jobs sent to the backend and thereby reduce the risk of quota violations under high load. The implementation emphasized robust Python API design and backend integration, with comprehensive unit tests verifying correct parameter passing and ProcessorSampler initialization. Yates’s work demonstrated a methodical approach to backend development and testing, delivering a targeted capability that enhances stability for high-throughput workloads without addressing bug fixes.