NVIDIA/cuda-quantum
Oct 2024 – Mar 2026
14 Months active
Languages Used
DockerfilePythonShellYAMLBashC++CMakeJSON
Technical Skills
Branching StrategiesBuild SystemsCI/CDCUDADependency ManagementDevOps
Bettina Heim
PROFILE
Bettina Heim
Over 14 months, contributed to NVIDIA/cuda-quantum by engineering features and infrastructure that advanced quantum computing workflows and deployment reliability. Developed core components such as a robust Python bridge for quantum kernels, enhanced operator frameworks in C++ for simulation fidelity, and implemented distributed-device-call support to improve device orchestration. Led CI/CD automation using Docker, GitHub Actions, and YAML, optimizing build pipelines and release processes for safer, faster deployments. Addressed critical bugs in compiler IR verification and test frameworks, improving correctness and stability. Work spanned API design, containerization, and quantum SDK integration, resulting in more maintainable code and streamlined onboarding for users and developers.
Overall Statistics
Feature vs Bugs
74%Features
Repository Contributions
58Total
Bugs
8
Commits
58
Features
23
Lines of code
89,623
Activity Months14
Your Network
39 peopleShared Repositories
39
Work History
March 2026
6 Commits • 3 Features
Mar 1, 2026March 2026: Key CI/CD and quality improvements across NVIDIA/cuda-quantum. Implemented a GitHub Actions workflow to migrate container images between registries with optional signing (NGC CLI or Cosign) and enforced source_build before deployment, enhancing release safety. Stabilized MacOS ARM64 CI by skipping runtime error tests to reduce flaky runs. Extended notebook execution timeouts to accommodate longer computations, enabling more complex experiments without premature failures. Expanded CUDA-Q Realtime documentation and released notes (v0.14.0), including a link fix to ensure accessible documentation. These changes collectively improve deployment reliability, reduce test churn on ARM64, support longer workloads, and improve product documentation and release communication.
6 Commits • 3 Features
Mar 1, 2026March 2026: Key CI/CD and quality improvements across NVIDIA/cuda-quantum. Implemented a GitHub Actions workflow to migrate container images between registries with optional signing (NGC CLI or Cosign) and enforced source_build before deployment, enhancing release safety. Stabilized MacOS ARM64 CI by skipping runtime error tests to reduce flaky runs. Extended notebook execution timeouts to accommodate longer computations, enabling more complex experiments without premature failures. Expanded CUDA-Q Realtime documentation and released notes (v0.14.0), including a link fix to ensure accessible documentation. These changes collectively improve deployment reliability, reduce test churn on ARM64, support longer workloads, and improve product documentation and release communication.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for NVIDIA/cuda-quantum: Focused on delivering a robust Quantum Kernels Python Bridge and finalizing outstanding bridge tasks to production readiness. This period emphasized enhancing developer ergonomics, improving error handling, and solidifying scoping rules to support more reliable quantum kernel development.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for NVIDIA/cuda-quantum: Focused on delivering a robust Quantum Kernels Python Bridge and finalizing outstanding bridge tasks to production readiness. This period emphasized enhancing developer ergonomics, improving error handling, and solidifying scoping rules to support more reliable quantum kernel development.
January 2026
4 Commits • 1 Features
Jan 1, 2026January 2026 - NVIDIA/cuda-quantum: Deployment workflow and Docker image build process optimizations to improve CI/CD reliability, reduce build times, and improve developer ergonomics. Implemented safeguards to prevent image pushes during scheduled events, added nightly cache updates, and introduced ergonomic deployment changes with new build-dev-container parameters and improved image stitching. This work increases deployment reliability, accelerates iteration cycles, and demonstrates strong DevOps and Docker proficiency.
4 Commits • 1 Features
Jan 1, 2026January 2026 - NVIDIA/cuda-quantum: Deployment workflow and Docker image build process optimizations to improve CI/CD reliability, reduce build times, and improve developer ergonomics. Implemented safeguards to prevent image pushes during scheduled events, added nightly cache updates, and introduced ergonomic deployment changes with new build-dev-container parameters and improved image stitching. This work increases deployment reliability, accelerates iteration cycles, and demonstrates strong DevOps and Docker proficiency.
January 2026
November 2025
2 Commits • 1 Features
Nov 1, 2025In November 2025, NVIDIA/cuda-quantum delivered targeted stability and capability improvements to the test framework and Python bridge, strengthening reliability and MLIR integration for cross-language workflows.
November 2025
2 Commits • 1 Features
Nov 1, 2025In November 2025, NVIDIA/cuda-quantum delivered targeted stability and capability improvements to the test framework and Python bridge, strengthening reliability and MLIR integration for cross-language workflows.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for NVIDIA/cuda-quantum. Focused on boosting robustness and usability of the Python bridge for quantum programming. Implemented enhancements to list comprehensions, tuple deconstruction, and attribute access, along with corrections in type conversions and error handling to improve reliability of the Python interface when constructing and running quantum operations. Changes were delivered via a targeted commit addressing Python bridge fixes and improvements (commit: fe4014f8f6ab53e3185a8a7a5bd6f06b60b5ef2f, #3489).
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for NVIDIA/cuda-quantum. Focused on boosting robustness and usability of the Python bridge for quantum programming. Implemented enhancements to list comprehensions, tuple deconstruction, and attribute access, along with corrections in type conversions and error handling to improve reliability of the Python interface when constructing and running quantum operations. Changes were delivered via a targeted commit addressing Python bridge fixes and improvements (commit: fe4014f8f6ab53e3185a8a7a5bd6f06b60b5ef2f, #3489).
October 2025
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary for NVIDIA/cuda-quantum focusing on reliability and correctness of qubit-level operations in the IR verification and pattern matching pipeline; key bug fix enabling arith::SelectOp on qubits along with added tests to prevent regressions; aligned with ongoing quality and robustness goals for CUDA-Quantum compiler features.
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary for NVIDIA/cuda-quantum focusing on reliability and correctness of qubit-level operations in the IR verification and pattern matching pipeline; key bug fix enabling arith::SelectOp on qubits along with added tests to prevent regressions; aligned with ongoing quality and robustness goals for CUDA-Quantum compiler features.
August 2025
1 Commits • 1 Features
Aug 1, 2025Delivered significant feature work on distributed-device-call support and QIR generation pipeline for NVIDIA/cuda-quantum, enabling improved device orchestration and compiler reliability. Implemented testing infrastructure for device calls and updated platform configurations to include the new 'distributed-device-call' pass, with alignments to MLIR passes and internal helpers.
1 Commits • 1 Features
Aug 1, 2025Delivered significant feature work on distributed-device-call support and QIR generation pipeline for NVIDIA/cuda-quantum, enabling improved device orchestration and compiler reliability. Implemented testing infrastructure for device calls and updated platform configurations to include the new 'distributed-device-call' pass, with alignments to MLIR passes and internal helpers.
August 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for NVIDIA/cuda-quantum centered on delivering Version 0.11.0 with strong onboarding and deployment readiness. The release includes user-facing features (qubit state initialization, configurable simulator backends) and performance improvements, packaged with complete download assets to simplify adoption. Key release packaging assets were prepared (Docker image, Python wheel, C++ installer) along with updated documentation and example sets, improving reproducibility and time-to-value for users. The work is traceable to commit 3c9a04a8f51e1929ba6b19de46dbda24d6839405 and aligns with release process goal #2913.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for NVIDIA/cuda-quantum centered on delivering Version 0.11.0 with strong onboarding and deployment readiness. The release includes user-facing features (qubit state initialization, configurable simulator backends) and performance improvements, packaged with complete download assets to simplify adoption. Key release packaging assets were prepared (Docker image, Python wheel, C++ installer) along with updated documentation and example sets, improving reproducibility and time-to-value for users. The work is traceable to commit 3c9a04a8f51e1929ba6b19de46dbda24d6839405 and aligns with release process goal #2913.
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 monthly review for NVIDIA/cuda-quantum focusing on business value and technical achievements. Key deliverables include modernization of the Quantum Operator Infrastructure with migration from Python to C++ bindings, enabling clearer operator-type distinctions and improved handling performance. Implemented efficient matrix evaluation for boson/fermion and fermion operators using sparse representations, improving simulation throughput and scalability. Addressed maintainability and reliability by fixing a warning and reorganizing tests (renaming mapping_test.py to mapping.py) and resolving installer/build issues for the NVQIR Dynamics backend by removing a redundant directory entry and ensuring cudensitymat and cutensor are correctly linked. Overall impact includes faster operator processing, more efficient matrix construction, reduced technical debt, and smoother deployments. Demonstrated technologies include Python-C++ bindings, performance optimization, sparse matrix techniques, build/packaging improvements, and test organization.
5 Commits • 2 Features
May 1, 2025May 2025 monthly review for NVIDIA/cuda-quantum focusing on business value and technical achievements. Key deliverables include modernization of the Quantum Operator Infrastructure with migration from Python to C++ bindings, enabling clearer operator-type distinctions and improved handling performance. Implemented efficient matrix evaluation for boson/fermion and fermion operators using sparse representations, improving simulation throughput and scalability. Addressed maintainability and reliability by fixing a warning and reorganizing tests (renaming mapping_test.py to mapping.py) and resolving installer/build issues for the NVQIR Dynamics backend by removing a redundant directory entry and ensuring cudensitymat and cutensor are correctly linked. Overall impact includes faster operator processing, more efficient matrix construction, reduced technical debt, and smoother deployments. Demonstrated technologies include Python-C++ bindings, performance optimization, sparse matrix techniques, build/packaging improvements, and test organization.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 — NVIDIA/cuda-quantum: Focus on CI/CD reliability and deployment automation. Key feature delivered: CI/CD Deployment and Workflow Automation Improvements, refining GitHub Actions workflow triggers for deployments, documentation, and publishing; activated on designated branches; simplified deployment conditions by removing unnecessary branch filters, reducing the risk of unintended deployments. No major bugs fixed reported in this period; maintenance work improved automation and documentation publishing. This work aligns with business goals of faster, safer releases and better release governance. Commits included: 1d7714810512876b33ca0717bac8ddfc0c859fa4; 51687b87b5820eca8c341c67d72b83e5a4238fe9.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 — NVIDIA/cuda-quantum: Focus on CI/CD reliability and deployment automation. Key feature delivered: CI/CD Deployment and Workflow Automation Improvements, refining GitHub Actions workflow triggers for deployments, documentation, and publishing; activated on designated branches; simplified deployment conditions by removing unnecessary branch filters, reducing the risk of unintended deployments. No major bugs fixed reported in this period; maintenance work improved automation and documentation publishing. This work aligns with business goals of faster, safer releases and better release governance. Commits included: 1d7714810512876b33ca0717bac8ddfc0c859fa4; 51687b87b5820eca8c341c67d72b83e5a4238fe9.
March 2025
7 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for NVIDIA/cuda-quantum: Key features delivered include an operator system overhaul with new operator classes and a generalized operator framework, release readiness for CUDA Quantum 0.10.0 with enhanced noisy-system simulations, and CI/CD stability improvements with dynamic cuRAND linking. These efforts improved usability, release reliability, and simulation fidelity across backends.
7 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for NVIDIA/cuda-quantum: Key features delivered include an operator system overhaul with new operator classes and a generalized operator framework, release readiness for CUDA Quantum 0.10.0 with enhanced noisy-system simulations, and CI/CD stability improvements with dynamic cuRAND linking. These efforts improved usability, release reliability, and simulation fidelity across backends.
March 2025
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for NVIDIA/cuda-quantum: Delivered two user-facing features and stabilized critical release processes. AWS Braket backend support now ships by default, integrating AWS SDK for C++ into the build and updating Dockerfiles to ensure AWS SDK availability. Documentation and versioning improvements refine docs links and version extraction to direct users to the correct CUDA-Q docs. Major bugs fixed include nightly CI tests stabilization and publishing pipeline validation reliability improvements, reducing flaky releases and improving build integrity. Overall impact includes expanded cloud backend options, more reliable releases, and clearer versioned documentation, enabling faster experimentation and safer deployments. Technologies demonstrated include AWS SDK integration, Docker/build system updates, GitHub Actions CI stability, wheel validation hardening, API key handling, and documentation/versioning best practices.
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for NVIDIA/cuda-quantum: Delivered two user-facing features and stabilized critical release processes. AWS Braket backend support now ships by default, integrating AWS SDK for C++ into the build and updating Dockerfiles to ensure AWS SDK availability. Documentation and versioning improvements refine docs links and version extraction to direct users to the correct CUDA-Q docs. Major bugs fixed include nightly CI tests stabilization and publishing pipeline validation reliability improvements, reducing flaky releases and improving build integrity. Overall impact includes expanded cloud backend options, more reliable releases, and clearer versioned documentation, enabling faster experimentation and safer deployments. Technologies demonstrated include AWS SDK integration, Docker/build system updates, GitHub Actions CI stability, wheel validation hardening, API key handling, and documentation/versioning best practices.
November 2024
16 Commits • 4 Features
Nov 1, 2024In 2024-11, CUDA-Q development (NVIDIA/cuda-quantum) delivered major platform improvements and shipping reliability. Highlights include expanded dynamics simulations and Python APIs, comprehensive packaging and release workflow enhancements, CUDA 12/11.8 compatibility updates, governance/branding updates, and bug fixes improving testing and build stability. These efforts enable broader adoption, faster and more reliable releases, and tighter governance across the project.
16 Commits • 4 Features
Nov 1, 2024In 2024-11, CUDA-Q development (NVIDIA/cuda-quantum) delivered major platform improvements and shipping reliability. Highlights include expanded dynamics simulations and Python APIs, comprehensive packaging and release workflow enhancements, CUDA 12/11.8 compatibility updates, governance/branding updates, and bug fixes improving testing and build stability. These efforts enable broader adoption, faster and more reliable releases, and tighter governance across the project.
November 2024
October 2024
6 Commits • 2 Features
Oct 1, 2024October 2024 monthly summary for NVIDIA/cuda-quantum: Delivered CI/CD governance and reliability improvements, expanded multi-CUDA build support, and enhanced artifact traceability to accelerate secure deployments and cross-version compatibility.
October 2024
6 Commits • 2 Features
Oct 1, 2024October 2024 monthly summary for NVIDIA/cuda-quantum: Delivered CI/CD governance and reliability improvements, expanded multi-CUDA build support, and enhanced artifact traceability to accelerate secure deployments and cross-version compatibility.
Activity
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Quality Metrics
Correctness89.0%
Maintainability87.4%
Architecture87.4%
Performance81.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
BashC++CMakeDockerfileJSONMakefileMarkdownPythonQKERST
Technical Skills
API DesignBackend DevelopmentBranching StrategiesBug FixingBuild AutomationBuild SystemsC++C++ DevelopmentC++ developmentCI/CDCMakeCUDACloud IntegrationCode ModernizationCode Refactoring
Repositories Contributed To
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