pasqal-io/Pulser
Aug 2025 – Mar 2026
7 Months active
Languages Used
PythonNumPyPyTorchJSON
Technical Skills
API DesignBackend DevelopmentData AggregationTestingHamiltonian SimulationNoise Modeling
Anton Quelle
PROFILE
Anton Quelle
Worked on the pasqal-io/Pulser repository, delivering features and fixes that advanced quantum simulation fidelity, backend robustness, and data aggregation. Developed systems for aggregating simulation results, standardized noise modeling units, and enabled dynamic per-run noise trajectories to improve realism. Enhanced backend reliability through strict configuration validation, schema-based data validation, and robust serialization. Contributed a user-facing quantum programming tutorial and expanded test coverage to ensure correctness and maintainability. Leveraged Python, NumPy, and PyTorch for backend development, data modeling, and simulation logic. The work emphasized test-driven development, backward compatibility, and collaborative documentation to support scientific accuracy and ease of adoption.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
18Total
Bugs
6
Commits
18
Features
9
Lines of code
5,036
Activity Months7
Your Network
35 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for pasqal-io/Pulser focused on delivering more realistic quantum backend simulations and expanding test coverage. The key feature delivered this month enhances per-run noise realism for the QutipBackendV2, with changes that ensure noise trajectories differ across runs and are validated via automated tests.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for pasqal-io/Pulser focused on delivering more realistic quantum backend simulations and expanding test coverage. The key feature delivered this month enhances per-run noise realism for the QutipBackendV2, with changes that ensure noise trajectories differ across runs and are validated via automated tests.
March 2026
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026: Enhanced end-to-end QPU experience and backend reliability for Pulser. This period delivered a user-facing Quantum Programming Tutorial for QPU, plus backend state persistence improvements and stability fixes, with added tests and collaboration that strengthen maintainability and adoption.
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026: Enhanced end-to-end QPU experience and backend reliability for Pulser. This period delivered a user-facing Quantum Programming Tutorial for QPU, plus backend state persistence improvements and stability fixes, with added tests and collaboration that strengthen maintainability and adoption.
January 2026
4 Commits • 2 Features
Jan 1, 2026Monthly summary for 2026-01 for the pasqal-io/Pulser project. Key features delivered include strict QutipConfig argument validation to prevent misconfigurations and improve backend reliability, and the introduction of aggregation and density-matrix averaging in QutipBackendV2 to enable more robust multi-run simulations. Major bugs fixed include the EnergySecondMoment JSON schema validation to ensure all observables are validated, and fixes to honor user-defined evaluation times for observables, improving reliability of results. Overall impact: reduced misconfigurations, improved data integrity, and more accurate simulation analytics, contributing to stronger back-end stability and scientific fidelity. Technologies/skills demonstrated: Python validation logic, JSON schema validation, simulation result aggregation, density-matrix averaging, and rigorous testing practices.
4 Commits • 2 Features
Jan 1, 2026Monthly summary for 2026-01 for the pasqal-io/Pulser project. Key features delivered include strict QutipConfig argument validation to prevent misconfigurations and improve backend reliability, and the introduction of aggregation and density-matrix averaging in QutipBackendV2 to enable more robust multi-run simulations. Major bugs fixed include the EnergySecondMoment JSON schema validation to ensure all observables are validated, and fixes to honor user-defined evaluation times for observables, improving reliability of results. Overall impact: reduced misconfigurations, improved data integrity, and more accurate simulation analytics, contributing to stronger back-end stability and scientific fidelity. Technologies/skills demonstrated: Python validation logic, JSON schema validation, simulation result aggregation, density-matrix averaging, and rigorous testing practices.
January 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — Pulser repository focused on expanding simulation capabilities and delivering a scalable noise-modeling feature. Key achievements delivered this month include enabling multiple noise trajectories in HamiltonianData with upfront pre-computation, improving simulation coverage and planning efficiency. No major bugs fixed this period. Impact: broader applicability of Pulser's simulations, faster scenario analysis, and a cleaner path for future noise-modeling features. Technologies/skills demonstrated: noise modeling, data pre-computation strategies, code quality, and collaboration around issue #955.
December 2025
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — Pulser repository focused on expanding simulation capabilities and delivering a scalable noise-modeling feature. Key achievements delivered this month include enabling multiple noise trajectories in HamiltonianData with upfront pre-computation, improving simulation coverage and planning efficiency. No major bugs fixed this period. Impact: broader applicability of Pulser's simulations, faster scenario analysis, and a cleaner path for future noise-modeling features. Technologies/skills demonstrated: noise modeling, data pre-computation strategies, code quality, and collaboration around issue #955.
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025: Core Pulser backend enhancements to boost simulation fidelity and data reliability, focusing on noise handling and robust data aggregation. Delivered targeted QutipBackendV2 improvements with updated backend interface documentation, plus a stability fix for dictionary-based bag unions to prevent flaky results in non-Counter cases. These changes improve accuracy of quantum simulations, simplify configuration, and strengthen test coverage.
3 Commits • 1 Features
Nov 1, 2025November 2025: Core Pulser backend enhancements to boost simulation fidelity and data reliability, focusing on noise handling and robust data aggregation. Delivered targeted QutipBackendV2 improvements with updated backend interface documentation, plus a stability fix for dictionary-based bag unions to prevent flaky results in non-Counter cases. These changes improve accuracy of quantum simulations, simplify configuration, and strengthen test coverage.
November 2025
September 2025
6 Commits • 1 Features
Sep 1, 2025September 2025 performance highlights for pasqal-io/Pulser. Focused on increasing simulation fidelity, backend robustness, and consistency across units. Implemented critical fixes to interaction masking, Hamiltonian construction, and noise modeling, accompanied by comprehensive tests to validate edge cases (including noisy interaction matrices and 3D Register usage). Standardized detuning noise units to reduce errors and improve cross-backend compatibility.
September 2025
6 Commits • 1 Features
Sep 1, 2025September 2025 performance highlights for pasqal-io/Pulser. Focused on increasing simulation fidelity, backend robustness, and consistency across units. Implemented critical fixes to interaction masking, Hamiltonian construction, and noise modeling, accompanied by comprehensive tests to validate edge cases (including noisy interaction matrices and 3D Register usage). Standardized detuning noise units to reduce errors and improve cross-backend compatibility.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 — Pulser (pasqal-io/Pulser): Delivered the Results Aggregation System enabling aggregation of multiple simulation results using strategies (mean, bag union). Updated the Results class to store and handle aggregation strategies and added tests to ensure backward compatibility with earlier versions. This work enhances result analytics, enables cross-run comparisons, and lays groundwork for future analytics features. Technologies/skills demonstrated include Python data modeling, test-driven development, backward-compatibility testing, and git-based release traceability.
1 Commits • 1 Features
Aug 1, 2025August 2025 — Pulser (pasqal-io/Pulser): Delivered the Results Aggregation System enabling aggregation of multiple simulation results using strategies (mean, bag union). Updated the Results class to store and handle aggregation strategies and added tests to ensure backward compatibility with earlier versions. This work enhances result analytics, enables cross-run comparisons, and lays groundwork for future analytics features. Technologies/skills demonstrated include Python data modeling, test-driven development, backward-compatibility testing, and git-based release traceability.
August 2025
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Quality Metrics
Correctness90.0%
Maintainability85.6%
Architecture85.6%
Performance82.8%
AI Usage28.8%
Skills & Technologies
Programming Languages
JSONNumPyPyTorchPython
Technical Skills
API DesignBackend DevelopmentData AggregationHamiltonian SimulationNoise ModelingNumerical MethodsPythonQuantum ComputingQuantum Computing SimulationQuantum SimulationSimulationSoftware DevelopmentSoftware EngineeringSoftware RefactoringTesting
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