quantumlib/Cirq
Jul 2025 – Dec 2025
3 Months active
Languages Used
Python
Technical Skills
API DesignBackend DevelopmentTestingAPI developmentPythonasynchronous programming
Devon Yates
PROFILE
Devon Yates
During three months working on the quantumlib/Cirq repository, Dev Yates delivered a series of backend and API enhancements focused on quantum processor configuration and sampler access. Dev designed and implemented Python APIs to streamline configuration retrieval and simplify experiment setup, including direct sampler access from processor configurations and new methods for enumerating processor configs. Their approach emphasized robust backend integration, asynchronous programming, and comprehensive unit testing to ensure reliability and reproducibility. By refactoring core interfaces and improving documentation, Dev enabled more efficient, scalable workflows for quantum experiments, demonstrating depth in API design, backend development, and collaborative software engineering within the quantum computing domain.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
2,158
Activity Months3
Your Network
4433 peopleSame Organization
@google.com4393
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — Key features delivered: - Quantum Engine API Enhancements: Sampler access simplification. Engine.get_sampler and Processor.get_sampler now retrieve a sampler directly from a processor configuration, removing the need for run_name and snapshot_id. - list_configs(): Added engine.list_configs and processor.list_configs to enumerate and manage quantum processor configurations (including revision references via Run/Snapshot). Major bugs fixed: - Fixed bug 435217087 in get_sampler usage, stabilizing sampler retrieval across Run and Snapshot contexts. Overall impact and accomplishments: - Streamlined experiment setup and configurability, enabling faster, more reliable iterations and better governance of processor configurations. Contributed to API stability and developer experience, laying groundwork for scalable multi-processor work. Technologies/skills demonstrated: - Python API design and refactoring, cross-module integration between Engine and Processor, configuration management; improved documentation/examples; collaboration across teams.
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — Key features delivered: - Quantum Engine API Enhancements: Sampler access simplification. Engine.get_sampler and Processor.get_sampler now retrieve a sampler directly from a processor configuration, removing the need for run_name and snapshot_id. - list_configs(): Added engine.list_configs and processor.list_configs to enumerate and manage quantum processor configurations (including revision references via Run/Snapshot). Major bugs fixed: - Fixed bug 435217087 in get_sampler usage, stabilizing sampler retrieval across Run and Snapshot contexts. Overall impact and accomplishments: - Streamlined experiment setup and configurability, enabling faster, more reliable iterations and better governance of processor configurations. Contributed to API stability and developer experience, laying groundwork for scalable multi-processor work. Technologies/skills demonstrated: - Python API design and refactoring, cross-module integration between Engine and Processor, configuration management; improved documentation/examples; collaboration across teams.
December 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 — Key API enhancement delivered to streamline quantum processor configuration management. Implemented a QuantumProcessorConfig retrieval API across Engine and EngineProcessor, including processor-level and engine-level access paths, with practical usage examples. This work lays the foundation for consistent configuration handling across components and improves reproducibility of experiments. No major bugs fixed this month; focus centered on API design, documentation, and code quality. Technologies demonstrated include Python, CirqGoogle integration, and collaborative development (co-authored by Michael Qian).
September 2025
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 — Key API enhancement delivered to streamline quantum processor configuration management. Implemented a QuantumProcessorConfig retrieval API across Engine and EngineProcessor, including processor-level and engine-level access paths, with practical usage examples. This work lays the foundation for consistent configuration handling across components and improves reproducibility of experiments. No major bugs fixed this month; focus centered on API design, documentation, and code quality. Technologies demonstrated include Python, CirqGoogle integration, and collaborative development (co-authored by Michael Qian).
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for quantumlib/Cirq: Feature delivery focused on backend concurrency control and test coverage. Key feature: Engine.get_sampler() now accepts max_concurrent_jobs to cap the number of concurrent jobs sent to the backend, reducing quota-violation risk and improving reliability under high load. The change includes tests verifying correct parameter passing and ProcessorSampler initialization. No major bugs fixed in this repo this month; emphasis on delivering capability and improving stability.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for quantumlib/Cirq: Feature delivery focused on backend concurrency control and test coverage. Key feature: Engine.get_sampler() now accepts max_concurrent_jobs to cap the number of concurrent jobs sent to the backend, reducing quota-violation risk and improving reliability under high load. The change includes tests verifying correct parameter passing and ProcessorSampler initialization. No major bugs fixed in this repo this month; emphasis on delivering capability and improving stability.
July 2025
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture95.0%
Performance85.0%
AI Usage45.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DesignAPI developmentBackend DevelopmentPythonTestingasynchronous programmingquantum computingsoftware engineeringunit testing
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