quantumlib/Cirq
Jan 2025 – Sep 2025
5 Months active
Languages Used
PythonC++
Technical Skills
Circuit SimulationError MitigationPythonQuantum ComputingTestingAlgorithm Development
ddddddanni
PROFILE
Ddddddanni
Danni Wang developed advanced quantum circuit measurement and benchmarking features for the quantumlib/Cirq repository, focusing on improving experimental accuracy and efficiency. Over five months, Danni engineered tools for shuffled circuit execution, Pauli string measurement with readout error mitigation, and parameter sweep support, leveraging Python and C++ for algorithm development and circuit simulation. Their work included robust input validation, comprehensive test suites, and refactoring of benchmarking utilities to enhance reliability. By implementing qubit-wise commuting grouping and stabilizing statistical tests, Danni addressed both performance and reproducibility challenges, enabling more scalable and accurate quantum experiments while strengthening the reliability of Cirq’s measurement workflows.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
5
Lines of code
3,693
Activity Months5
Your Network
4191 people
Work History
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.
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)").
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
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.
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.
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.
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
Activity
Loading activity data...
Quality Metrics
Correctness91.6%
Maintainability80.0%
Architecture81.6%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Algorithm DevelopmentCircuit SimulationError MitigationNumerical AnalysisParameter SweepsPythonQuantum ComputingReadout Error MitigationSoftware EngineeringTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline