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Will Simmons

PROFILE

Will Simmons

Will Simmons contributed to CQCL/tket by developing and refining core features and infrastructure for quantum circuit optimization and documentation. He modernized API bindings using C++ and Python, unified argument handling with std::variant, and migrated documentation from reStructuredText to MyST Markdown to improve clarity and maintainability. Will addressed complex bugs in ZX extraction and circuit transformation logic, enhancing determinism and robustness in graph cleanup and conditional operations. He strengthened CI pipelines and documentation coverage, ensuring reliable builds and onboarding. His work demonstrated depth in backend development, algorithm optimization, and dependency management, resulting in a more stable and user-friendly quantum software platform.

Overall Statistics

Feature vs Bugs

56%Features

Repository Contributions

13Total
Bugs
4
Commits
13
Features
5
Lines of code
21,719
Activity Months7

Work History

January 2026

1 Commits

Jan 1, 2026

January 2026: Delivered a reliability-focused improvement to ZXGraphlikeOptimisation in CQCL/tket by fixing a floating-point bug that impeded Clifford generator identification with large phase values. Introduced phase modulo 2 normalization and a generator creation method to ensure accurate Clifford calculations during quantum circuit optimizations. These changes enhance correctness, reduce erroneous optimizations, and improve downstream performance for Clifford-rich circuits.

July 2025

3 Commits • 2 Features

Jul 1, 2025

July 2025 monthly performance summary highlighting delivery of documentation quality improvements, CI robustness, and ecosystem clarity across CQCL/tket and CQCL/pytket-quantinuum. Focused on business value through improved onboarding, maintainability, and build stability.

June 2025

1 Commits

Jun 1, 2025

June 2025 monthly summary for CQCL/tket: Delivered a targeted backend compatibility fix that clarifies subclass specifications, improved internal cross-reference handling, and aligned documentation theming references. The work reduces maintenance risk, improves API clarity for subclassing, and enhances the reliability of the backend specification across downstream tooling.

May 2025

3 Commits • 1 Features

May 1, 2025

May 2025 focused on elevating documentation quality for CQCL/tket, delivering a cohesive set of improvements across build tooling, format migration, and CI governance. The work enhances user onboarding, reduces support load, and strengthens release confidence by ensuring docs are accurate, complete, and reliably rendered in the site.

April 2025

3 Commits • 2 Features

Apr 1, 2025

April 2025 monthly summary for CQCL/tket focusing on feature delivery, binding modernization, and interface improvements. The month centered on stabilizing API bindings, expanding DecomposeBoxes capabilities, and aligning documentation, enabling smoother downstream integration and future feature work.

February 2025

1 Commits

Feb 1, 2025

February 2025 (CQCL/tket): Delivered robust handling of nested conditional operations in circuit transformations. Refactored the internal representation of subcircuits and conditional operations, updated dependencies, and fixed tests to improve robustness. These changes reduce edge-case failures in nested conditionals, strengthen the circuit transformation pipeline, and improve downstream optimization stability. The work enhances correctness of compiled circuits and accelerates debugging and user adoption. Commit reference: 283dad5d501f6b84a15e407dd63eb5a13294a669; related issue #1775.

November 2024

1 Commits

Nov 1, 2024

November 2024 performance summary for CQCL/tket. Focused on stabilizing ZX extraction and improving determinism in graph cleanup. Delivered a deterministic ZX extraction cleanup by removing references to dead vertices in the clean_frontier routine, including bumping the tket version and removing tests that reflected the prior behavior. Result: non-deterministic ZX extraction errors eliminated, improving reliability of ZX-based circuit analysis and downstream tooling. Impact includes more predictable results, reduced debugging time, and steadier CI. Demonstrates proficiency in graph-cleanup logic, version management, and test maintenance within the CQCL/tket pipeline.

Activity

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Quality Metrics

Correctness89.2%
Maintainability90.0%
Architecture87.0%
Performance76.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++MarkdownPythonRSTShellYAML

Technical Skills

API DesignBackend DevelopmentBuild SystemsC++C++ DevelopmentC++ developmentCI/CDCircuit SynthesisCode FormattingCode RefactoringDependency ManagementDocumentationPythonPython DevelopmentQuantum Computing

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

CQCL/tket

Nov 2024 Jan 2026
7 Months active

Languages Used

C++PythonRSTMarkdownShellYAML

Technical Skills

C++ DevelopmentCircuit SynthesisDependency ManagementPython DevelopmentQuantum ComputingZX Calculus

CQCL/pytket-quantinuum

Jul 2025 Jul 2025
1 Month active

Languages Used

MarkdownPythonShellYAML

Technical Skills

CI/CDDocumentationPython DevelopmentShell Scripting

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