
Will Shanks enhanced the Qiskit/qiskit-ibm-runtime repository by expanding local testing capabilities and improving backend data consistency. He implemented support for noise models and level 1 data in BackendSamplerV2, mapping execution parameters into run options to enable more realistic and comprehensive local test scenarios. Using Python and leveraging his expertise in API integration and quantum computing, Will also refactored backend data loading to apply fractional gate filtering earlier in the API pipeline, resolving configuration mismatches. Additionally, he clarified rzz gate error messaging, updating documentation and release notes to improve user guidance and maintainability, demonstrating strong attention to technical detail.

June 2025 — Qiskit IBM Runtime: Improved rzz gate error messaging to clarify that out-of-range angle values are user-provided input, not backend errors; updated release notes. This improves user guidance, reduces support tickets, and aligns validation behavior with user expectations. Linked to issue #2276; commit df98508f5080ee244c5887a102fbde1beb7cfc63.
June 2025 — Qiskit IBM Runtime: Improved rzz gate error messaging to clarify that out-of-range angle values are user-provided input, not backend errors; updated release notes. This improves user guidance, reduces support tickets, and aligns validation behavior with user expectations. Linked to issue #2276; commit df98508f5080ee244c5887a102fbde1beb7cfc63.
November 2024 (Qiskit/qiskit-ibm-runtime): Delivered two critical changes to improve local testing realism and backend data consistency. Local testing enhancements expand BackendSamplerV2 test coverage by supporting noise models and level 1 data, translating execution.meas_type into run_options for more representative local runs. Additionally, data loading stability was improved by applying fractional gate filtering earlier in the API processing, ensuring consistency between backend configuration, properties, and target.
November 2024 (Qiskit/qiskit-ibm-runtime): Delivered two critical changes to improve local testing realism and backend data consistency. Local testing enhancements expand BackendSamplerV2 test coverage by supporting noise models and level 1 data, translating execution.meas_type into run_options for more representative local runs. Additionally, data loading stability was improved by applying fractional gate filtering earlier in the API processing, ensuring consistency between backend configuration, properties, and target.
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