PennyLaneAI/pennylane-qiskit
Oct 2024 – Nov 2024
2 Months active
Languages Used
MarkdownPython
Technical Skills
DocumentationDependency ManagementPython DevelopmentRelease Management
Mudit Pandey
PROFILE
Mudit Pandey
Mudit Pandey contributed to the PennyLaneAI ecosystem by delivering feature updates and compatibility improvements across the pennylane-qiskit and pennylane-lightning repositories. He enhanced device integration by implementing pre-processing with program capture for LQ, LK, and LGPU devices, and improved JAX compatibility by updating dependencies and CI workflows to support newer versions. Using Python, JAX, and Makefile, Mudit streamlined plugin installation, enforced dependency alignment, and maintained thorough documentation to support onboarding and reduce integration friction. His work focused on release management, testing, and cross-repository collaboration, demonstrating depth in CI/CD, quantum computing workflows, and sustainable maintenance of complex Python projects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
5
Lines of code
1,131
Activity Months4
Your Network
49 people
Work History
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary — PennyLane-Lightning (PennyLaneAI/pennylane-lightning): Implemented JAX compatibility for 0.5.3+ and updated CI, with a library version bump and improved error handling. Updated development requirements to JAX 0.6.0 and aligned CI workflows with newer TensorFlow versions, enhancing stability and maintainability. These changes reduce integration friction for users, improve resilience of JAX workloads, and prepare the project for future JAX/TF upgrades.
2 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary — PennyLane-Lightning (PennyLaneAI/pennylane-lightning): Implemented JAX compatibility for 0.5.3+ and updated CI, with a library version bump and improved error handling. Updated development requirements to JAX 0.6.0 and aligned CI workflows with newer TensorFlow versions, enhancing stability and maintainability. These changes reduce integration friction for users, improve resilience of JAX workloads, and prepare the project for future JAX/TF upgrades.
May 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for PennyLaneAI/pennylane-lightning highlighting feature delivery and code quality improvements around device pre-processing with program capture.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for PennyLaneAI/pennylane-lightning highlighting feature delivery and code quality improvements around device pre-processing with program capture.
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary focusing on compatibility, documentation, and plugin installation improvements across PennyLane ecosystems. Delivered targeted updates to align dependencies and setup workflows, improving onboarding and reducing compatibility risk.
3 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary focusing on compatibility, documentation, and plugin installation improvements across PennyLane ecosystems. Delivered targeted updates to align dependencies and setup workflows, improving onboarding and reducing compatibility risk.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024Concise monthly summary for 2024-10: In PennyLaneAI/pennylane-qiskit, delivered the v0.39 update with release notes, exposing qiskit_session at the top level and addressing a deprecated QubitDevice import path. Updated the changelog to credit contributors (commit e684a349089cc3d1ba154e44366da4892f645552). This release improves usability and stability for Qiskit-based workflows, simplifying onboarding and reducing import errors, while maintaining strong documentation and contributor transparency. Technologies demonstrated: Python, release engineering, API surface enhancements, changelog hygiene, and cross-repo collaboration.
October 2024
1 Commits • 1 Features
Oct 1, 2024Concise monthly summary for 2024-10: In PennyLaneAI/pennylane-qiskit, delivered the v0.39 update with release notes, exposing qiskit_session at the top level and addressing a deprecated QubitDevice import path. Updated the changelog to credit contributors (commit e684a349089cc3d1ba154e44366da4892f645552). This release improves usability and stability for Qiskit-based workflows, simplifying onboarding and reducing import errors, while maintaining strong documentation and contributor transparency. Technologies demonstrated: Python, release engineering, API surface enhancements, changelog hygiene, and cross-repo collaboration.
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.6%
Architecture88.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MakefileMarkdownPythonYAML
Technical Skills
CI/CDDependency ManagementDevice IntegrationDocumentationGitJAXPythonPython DevelopmentQuantum ComputingRelease ManagementTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
PennyLaneAI/pennylane-lightning
Mar 2025 – May 2025
2 Months active
Languages Used
PythonMarkdownYAML
Technical Skills
Device IntegrationPythonQuantum ComputingTestingCI/CDDependency Management
PennyLaneAI/qml
Nov 2024 – Nov 2024
1 Month active
Languages Used
MakefilePython
Technical Skills
CI/CDGitPython DevelopmentQuantum Computing