quantumlib/Cirq
Jan 2025 – Feb 2026
8 Months active
Languages Used
PythonC++
Technical Skills
Circuit SimulationError MitigationPythonQuantum ComputingTestingAlgorithm Development
ddddddanni
PROFILE
Ddddddanni
Danni Wang developed advanced quantum measurement and error mitigation features for the quantumlib/Cirq repository over eight months, focusing on Pauli string measurement, readout benchmarking, and calibration workflows. Leveraging Python and C++, Danni engineered tools for efficient measurement of qubit-wise commuting Pauli strings, implemented parameter sweeps, and optimized readout error mitigation, reducing experimental overhead and improving measurement accuracy. The work included robust input validation, comprehensive testing, and enhancements to calibration logic, enabling flexible, scalable quantum experiments. Danni also addressed critical bugs affecting measurement alignment and test stability, demonstrating depth in algorithm development, circuit simulation, and software engineering for quantum computing applications.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
10Total
Bugs
2
Commits
10
Features
7
Lines of code
4,660
Activity Months8
Your Network
4446 peopleSame Organization
@google.com4406
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for quantumlib/Cirq focusing on enhancements to the Pauli strings measurement framework, optimizing readout calibration, and enabling postselection-enabled measurements across qubit subsets. The work reduced calibration overhead, increased measurement flexibility, and accelerated research workflows.
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for quantumlib/Cirq focusing on enhancements to the Pauli strings measurement framework, optimizing readout calibration, and enabling postselection-enabled measurements across qubit subsets. The work reduced calibration overhead, increased measurement flexibility, and accelerated research workflows.
February 2026
December 2025
1 Commits
Dec 1, 2025December 2025: Delivered a critical bug fix in Cirq that aligns measurement circuits with the qubits involved in Pauli strings, improving accuracy of readout and calibration workflows and reducing mis-measurement risks in simulations.
December 2025
1 Commits
Dec 1, 2025December 2025: Delivered a critical bug fix in Cirq that aligns measurement circuits with the qubits involved in Pauli strings, improving accuracy of readout and calibration workflows and reducing mis-measurement risks in simulations.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for quantumlib/Cirq: Delivered a new feature and stabilized tests to enhance experimental flexibility and reliability. Key feature: Pauli string measurement parameter sweep with readout mitigation, enabling parameterized circuits and sweep-based measurement/benchmarking for Pauli strings in Cirq. Major bug fix: stability improvement for Pauli string measurement tests by increasing np.isclose tolerance, reducing flaky failures in mitigated expectation estimates. These improvements enable more scalable quantum experiments and a more robust test suite, reinforcing measurement accuracy and benchmarking workflows across Cirq deployments.
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for quantumlib/Cirq: Delivered a new feature and stabilized tests to enhance experimental flexibility and reliability. Key feature: Pauli string measurement parameter sweep with readout mitigation, enabling parameterized circuits and sweep-based measurement/benchmarking for Pauli strings in Cirq. Major bug fix: stability improvement for Pauli string measurement tests by increasing np.isclose tolerance, reducing flaky failures in mitigated expectation estimates. These improvements enable more scalable quantum experiments and a more robust test suite, reinforcing measurement accuracy and benchmarking workflows across Cirq deployments.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08: Delivered readout error benchmarking with sweep operations in Cirq, enabling benchmarking with sweep parameters without circuit shuffling. Refactored benchmarking utilities for robustness and improved usability. No major bugs fixed this month. Impact: more accurate readout performance insights, faster iteration for hardware-aware optimization, and stronger reliability of benchmarking workflows. Technologies demonstrated: Python, benchmarking tooling, parameter sweeping, and code refactoring with solid commit traceability.
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08: Delivered readout error benchmarking with sweep operations in Cirq, enabling benchmarking with sweep parameters without circuit shuffling. Refactored benchmarking utilities for robustness and improved usability. No major bugs fixed this month. Impact: more accurate readout performance insights, faster iteration for hardware-aware optimization, and stronger reliability of benchmarking workflows. Technologies demonstrated: Python, benchmarking tooling, parameter sweeping, and code refactoring with solid commit traceability.
June 2025
1 Commits • 1 Features
Jun 1, 2025Concise monthly summary for 2025-06 focused on key features delivered, major fixes, impact, and skills demonstrated in the Cirq development work. Repository covered: quantumlib/Cirq.
1 Commits • 1 Features
Jun 1, 2025Concise monthly summary for 2025-06 focused on key features delivered, major fixes, impact, and skills demonstrated in the Cirq development work. Repository covered: quantumlib/Cirq.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered Efficient Pauli string measurement with qubit-wise commuting (QWC) grouping in Cirq (quantumlib/Cirq). Implemented support for measuring groups of Pauli strings using the same set of measurement results via measure_pauli_strings; added validation for QWC groups and updated processing to ensure correct expectation value calculations, yielding improved efficiency for multi-string measurements. Linked to commit 63b0f178d4b532068b507a291ff84b16b901f9e3 ("Add the capability to accept group Paulis that can be measured using same measurement results (#7236)").
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered Efficient Pauli string measurement with qubit-wise commuting (QWC) grouping in Cirq (quantumlib/Cirq). Implemented support for measuring groups of Pauli strings using the same set of measurement results via measure_pauli_strings; added validation for QWC groups and updated processing to ensure correct expectation value calculations, yielding improved efficiency for multi-string measurements. Linked to commit 63b0f178d4b532068b507a291ff84b16b901f9e3 ("Add the capability to accept group Paulis that can be measured using same measurement results (#7236)").
March 2025
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03: Delivered a new Pauli String Measurement Tool with Readout Error Mitigation in Cirq, enabling measurement of expectation values of Pauli strings with coefficients and mitigating readout errors. Refactored and hardened the measurement pipeline to support coefficients, added input validation, and built a comprehensive test suite to ensure accuracy and robustness. This work improves measurement reliability in noisy quantum runs, enabling more accurate calibration and benchmarking and reducing downstream experimentation time and costs. Technologies demonstrated include Python tooling, test-driven development, input validation patterns, and practical readout error mitigation techniques.
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03: Delivered a new Pauli String Measurement Tool with Readout Error Mitigation in Cirq, enabling measurement of expectation values of Pauli strings with coefficients and mitigating readout errors. Refactored and hardened the measurement pipeline to support coefficients, added input validation, and built a comprehensive test suite to ensure accuracy and robustness. This work improves measurement reliability in noisy quantum runs, enabling more accurate calibration and benchmarking and reducing downstream experimentation time and costs. Technologies demonstrated include Python tooling, test-driven development, input validation patterns, and practical readout error mitigation techniques.
March 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a new Cirq feature enabling shuffled execution with readout benchmarking, plus associated validation and analysis to report measurement outcomes and readout error rates. Contributed end-to-end workflow from circuit shuffling to benchmarking results.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a new Cirq feature enabling shuffled execution with readout benchmarking, plus associated validation and analysis to report measurement outcomes and readout error rates. Contributed end-to-end workflow from circuit shuffling to benchmarking results.
Activity
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Quality Metrics
Correctness93.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Algorithm DevelopmentCircuit SimulationError MitigationNumerical AnalysisParameter SweepsPythonQuantum ComputingReadout Error MitigationSoftware EngineeringTestingquantum computingtesting
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