qiboteam/qibo
Oct 2024 – Feb 2026
12 Months active
Languages Used
PythonRSTNumPySymPyC++ShellYAMLTOML
Technical Skills
API DesignDocumentationPythonQuantum ComputingSoftware RefactoringBackend Integration
BrunoLiegiBastonLiegi
PROFILE
Brunoliegibastonliegi
Andrea Papaluca contributed to the qiboteam/qibo repository by engineering robust quantum computing features and infrastructure. Over twelve months, Andrea refactored core modules, standardized backend integration, and enhanced symbolic Hamiltonian modeling, focusing on backend-agnostic design and efficient numerical computation. Using Python and NumPy, Andrea improved test reliability, streamlined CI/CD pipelines, and introduced features like vectorized QASM measurements and default gate decomposition. The work included dependency management, error mitigation, and documentation updates, resulting in more maintainable code and reproducible builds. Andrea’s technical depth is evident in the careful handling of backend interoperability, performance optimizations, and the stabilization of complex quantum workflows.
Overall Statistics
Feature vs Bugs
55%Features
Repository Contributions
164Total
Bugs
30
Commits
164
Features
37
Lines of code
17,623
Activity Months12
Your Network
19 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 - Standardized the gate decomposition approach in the Quantum Gate Library. Implemented standard decomposition as the default method for core quantum gates in qibo, improving usability, consistency, and experimentation efficiency. This change reduces manual configuration, simplifies onboarding, and lays groundwork for future optimizations across gate operations.
1 Commits • 1 Features
Feb 1, 2026February 2026 - Standardized the gate decomposition approach in the Quantum Gate Library. Implemented standard decomposition as the default method for core quantum gates in qibo, improving usability, consistency, and experimentation efficiency. This change reduces manual configuration, simplifies onboarding, and lays groundwork for future optimizations across gate operations.
February 2026
December 2025
1 Commits
Dec 1, 2025Month: 2025-12. Focused on stabilizing the build and deployment pipeline for the qibo repository by aligning dependency versions across all environments. Key action: update and lockfile synchronization to eliminate environment drift. This work reduces CI/CD noise and accelerates troubleshooting across dev, staging, and production.
December 2025
1 Commits
Dec 1, 2025Month: 2025-12. Focused on stabilizing the build and deployment pipeline for the qibo repository by aligning dependency versions across all environments. Key action: update and lockfile synchronization to eliminate environment drift. This work reduces CI/CD noise and accelerates troubleshooting across dev, staging, and production.
November 2025
11 Commits • 4 Features
Nov 1, 2025November 2025 notable work on qiboteam/qibo delivering four core capabilities: (1) Vectorized Measurements in QASM — added multi-qubit measurement support in QASMParser with accompanying tests (commits eb9dda150ec01bb55fb6b01b0ed1cab9dfa4ab9c; 350740550ad076ba313b1754495e836357627692). (2) Qiskit transpiler wrapper and integration — wrapper implemented, Qiskit added as test dependency, documentation and example fixes (commits c40d8153f41db2fc8a22ff0b22b79aed4519e0dc; 1b8aa9ef49f561e8b396068386ed30b1d1afdf76; c6274ebcd9eec541ba6a021f2d78427d41aff0c2; 6ca27d2116ef7092ce49ca9d1644901db1252c0d). (3) Error Mitigation and Noise Handling Stabilization — stabilization of routines, immutability enhancements, new noisy-expectations method, and fixes post-merge (commits 47426fcea112b0e7821d486b6c21c66bc4a30448; a8e95dd48aa3364ff3b85d5878f2c07959740f77; 1908bac9012724e1cd722dcef47cc41faeeb38af; 3c11d64d6afca74fb6982008f2113d7160dbdbee). (4) GPI/GPI2 Gate Test Reliability and QASM Label Formatting — test reliability improvements (commit 3182ec2a43432ea336bc71db92ef34fceb31a73f). These changes are complemented by documentation updates and test dependencies to support CI.
11 Commits • 4 Features
Nov 1, 2025November 2025 notable work on qiboteam/qibo delivering four core capabilities: (1) Vectorized Measurements in QASM — added multi-qubit measurement support in QASMParser with accompanying tests (commits eb9dda150ec01bb55fb6b01b0ed1cab9dfa4ab9c; 350740550ad076ba313b1754495e836357627692). (2) Qiskit transpiler wrapper and integration — wrapper implemented, Qiskit added as test dependency, documentation and example fixes (commits c40d8153f41db2fc8a22ff0b22b79aed4519e0dc; 1b8aa9ef49f561e8b396068386ed30b1d1afdf76; c6274ebcd9eec541ba6a021f2d78427d41aff0c2; 6ca27d2116ef7092ce49ca9d1644901db1252c0d). (3) Error Mitigation and Noise Handling Stabilization — stabilization of routines, immutability enhancements, new noisy-expectations method, and fixes post-merge (commits 47426fcea112b0e7821d486b6c21c66bc4a30448; a8e95dd48aa3364ff3b85d5878f2c07959740f77; 1908bac9012724e1cd722dcef47cc41faeeb38af; 3c11d64d6afca74fb6982008f2113d7160dbdbee). (4) GPI/GPI2 Gate Test Reliability and QASM Label Formatting — test reliability improvements (commit 3182ec2a43432ea336bc71db92ef34fceb31a73f). These changes are complemented by documentation updates and test dependencies to support CI.
November 2025
October 2025
17 Commits • 5 Features
Oct 1, 2025October 2025 performance month for qiboteam/qibo focused on stabilizing builds, clarifying APIs, and improving test reliability to enable faster releases and more predictable deployments. Key initiatives spanned environment reproducibility, quantum information module refactors, error mitigation robustness, and expanded testing coverage.
October 2025
17 Commits • 5 Features
Oct 1, 2025October 2025 performance month for qiboteam/qibo focused on stabilizing builds, clarifying APIs, and improving test reliability to enable faster releases and more predictable deployments. Key initiatives spanned environment reproducibility, quantum information module refactors, error mitigation robustness, and expanded testing coverage.
September 2025
32 Commits • 4 Features
Sep 1, 2025Monthly summary for 2025-09: Delivered backend integration for Hamiltonians, moving exponential value calculation to the backend, decoupling backend methods from Hamiltonians, and wiring backend calls inside Hamiltonians. Added retrocompatibility by exposing exp from samples to Hamiltonians and introduced symbolic expval from state. Strengthened reliability with extensive test improvements, error mitigation, and GST stability efforts. Resolved critical issues including backend initialization, matrix/state handling, numerical tolerance, and cleanup, along with lint and documentation enhancements. Business value: more scalable, accurate, and maintainable codebase ready for production.
32 Commits • 4 Features
Sep 1, 2025Monthly summary for 2025-09: Delivered backend integration for Hamiltonians, moving exponential value calculation to the backend, decoupling backend methods from Hamiltonians, and wiring backend calls inside Hamiltonians. Added retrocompatibility by exposing exp from samples to Hamiltonians and introduced symbolic expval from state. Strengthened reliability with extensive test improvements, error mitigation, and GST stability efforts. Resolved critical issues including backend initialization, matrix/state handling, numerical tolerance, and cleanup, along with lint and documentation enhancements. Business value: more scalable, accurate, and maintainable codebase ready for production.
September 2025
July 2025
18 Commits • 2 Features
Jul 1, 2025Monthly performance summary for 2025-07 focusing on key business value: delivered features, fixed critical bugs, improved numeric reliability, and overall impact for the qibo project.
July 2025
18 Commits • 2 Features
Jul 1, 2025Monthly performance summary for 2025-07 focusing on key business value: delivered features, fixed critical bugs, improved numeric reliability, and overall impact for the qibo project.
June 2025
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly performance summary for qiboteam/qibo: delivered a major overhaul of quantum decoding, stabilized tests and data handling, and hardened CI/CD, driving reliability and efficiency in quantum circuit analysis and deployment. Key work streamlined the decoding pipeline, improved Hamiltonian data integrity, and aligned environments for consistent releases.
5 Commits • 2 Features
Jun 1, 2025June 2025 monthly performance summary for qiboteam/qibo: delivered a major overhaul of quantum decoding, stabilized tests and data handling, and hardened CI/CD, driving reliability and efficiency in quantum circuit analysis and deployment. Key work streamlined the decoding pipeline, improved Hamiltonian data integrity, and aligned environments for consistent releases.
June 2025
March 2025
11 Commits • 2 Features
Mar 1, 2025March 2025 — qiboteam/qibo: Concise monthly summary focusing on enhancements to the NumPy-backed execution path,GPU test reliability improvements, and dependency/build maintenance to support stable releases. Key features delivered: - NumpyBackend: enhanced binary conversion and sampling. Refactored samples_to_binary to use backend numpy (self.np), fixed qrange casting, and improved measurement sampling flow in NumpyBackend. Includes related bitflip and dtype simplifications for clarity. Commits: d603d1104cbc98b6f6dff2f777f2e89061668e05; 028de36339c29aac3990850d80f587829027b146; a79f4f92ab6d742089637325f810877dcccd7e3b; ba7fcb54bc8667a780fa04a35315bcf886c3c9d4. Major bugs fixed: - GPU backend test reliability and regression handling: Addressed flaky GPU tests by skipping regressions on cupy/cuquantum platforms, improving test stability and reliability across hardware backends. Commits: b246f6d6cc9bd51251c2d8cfd71f3c0f482a4143; c32551359776ed377a37f63618dd04957ca26eb3; 60b33e0f3e9a96a8abfe2dd623f2030650a9f62f; e14117f4ea1d6be0e2c0491752aa0dcf8549f580; 812b097223847767431bd12877594d301e099071. Dependencies and build configuration maintenance: - Updates to dependency lockfile and build configs to align with latest branches and stable versions (poetry.lock, dependencies, and main qibojit branch). Commits: 9d9922b96833b746470a2a596f549a9452a92722; 63167f52c1356e60bb45ee0144b44fce635719d0. Overall impact and accomplishments: - Improved measurement accuracy and back-end interoperability (CPU/GPU) leading to more reliable simulations and reduced debugging time. - Greater release confidence due to stable test results and synchronized dependencies across components. Technologies/skills demonstrated: - Python, NumPy backend integration, and backend-aware refactoring. - Testing strategy for flaky GPU tests, including selective regression skipping. - Dependency management and build configuration (poetry.lock, dependencies, main qibojit). - Cross-backend compatibility and performance-oriented refactoring.
March 2025
11 Commits • 2 Features
Mar 1, 2025March 2025 — qiboteam/qibo: Concise monthly summary focusing on enhancements to the NumPy-backed execution path,GPU test reliability improvements, and dependency/build maintenance to support stable releases. Key features delivered: - NumpyBackend: enhanced binary conversion and sampling. Refactored samples_to_binary to use backend numpy (self.np), fixed qrange casting, and improved measurement sampling flow in NumpyBackend. Includes related bitflip and dtype simplifications for clarity. Commits: d603d1104cbc98b6f6dff2f777f2e89061668e05; 028de36339c29aac3990850d80f587829027b146; a79f4f92ab6d742089637325f810877dcccd7e3b; ba7fcb54bc8667a780fa04a35315bcf886c3c9d4. Major bugs fixed: - GPU backend test reliability and regression handling: Addressed flaky GPU tests by skipping regressions on cupy/cuquantum platforms, improving test stability and reliability across hardware backends. Commits: b246f6d6cc9bd51251c2d8cfd71f3c0f482a4143; c32551359776ed377a37f63618dd04957ca26eb3; 60b33e0f3e9a96a8abfe2dd623f2030650a9f62f; e14117f4ea1d6be0e2c0491752aa0dcf8549f580; 812b097223847767431bd12877594d301e099071. Dependencies and build configuration maintenance: - Updates to dependency lockfile and build configs to align with latest branches and stable versions (poetry.lock, dependencies, and main qibojit branch). Commits: 9d9922b96833b746470a2a596f549a9452a92722; 63167f52c1356e60bb45ee0144b44fce635719d0. Overall impact and accomplishments: - Improved measurement accuracy and back-end interoperability (CPU/GPU) leading to more reliable simulations and reduced debugging time. - Greater release confidence due to stable test results and synchronized dependencies across components. Technologies/skills demonstrated: - Python, NumPy backend integration, and backend-aware refactoring. - Testing strategy for flaky GPU tests, including selective regression skipping. - Dependency management and build configuration (poetry.lock, dependencies, main qibojit). - Cross-backend compatibility and performance-oriented refactoring.
February 2025
25 Commits • 7 Features
Feb 1, 2025February 2025: Delivered key features, stabilized GPU-accelerated test stacks, and hardened the build/test infrastructure for reliability and faster releases.
25 Commits • 7 Features
Feb 1, 2025February 2025: Delivered key features, stabilized GPU-accelerated test stacks, and hardened the build/test infrastructure for reliability and faster releases.
February 2025
January 2025
30 Commits • 6 Features
Jan 1, 2025January 2025: Strengthened the symbolic backend ecosystem in qibo by integrating backend awareness across symbols and symbolic terms, improving correctness and consistency in symbol/backend interactions. Delivered meaningful performance gains through einsum-based optimizations in symbolic term matrix operations, including cast removals and caching improvements. Hardened backend consistency for symbolic Hamiltonian terms and stabilized the test environment to improve CI reliability. Expanded test coverage with dense conversion scenarios and intensified Cupy usage support, while refining numpy dtype handling. Added workflow and build tooling improvements to support reliable artifact uploads and dependency updates. Overall impact: higher correctness, faster execution of symbolic components, and more robust deployment pipelines across diverse hardware stacks.
January 2025
30 Commits • 6 Features
Jan 1, 2025January 2025: Strengthened the symbolic backend ecosystem in qibo by integrating backend awareness across symbols and symbolic terms, improving correctness and consistency in symbol/backend interactions. Delivered meaningful performance gains through einsum-based optimizations in symbolic term matrix operations, including cast removals and caching improvements. Hardened backend consistency for symbolic Hamiltonian terms and stabilized the test environment to improve CI reliability. Expanded test coverage with dense conversion scenarios and intensified Cupy usage support, while refining numpy dtype handling. Added workflow and build tooling improvements to support reliable artifact uploads and dependency updates. Overall impact: higher correctness, faster execution of symbolic components, and more robust deployment pipelines across diverse hardware stacks.
December 2024
11 Commits • 2 Features
Dec 1, 2024December 2024: Delivered a major Symbolic Hamiltonian core refactor for qibo, enabling backend-agnostic symbolic construction and robust dense-term handling; improved qubit derivation, caching, and density calculations. Implemented plotting API standardization for consistency across modules. Result: more accurate, scalable simulations (TFIM/Heisenberg/Pauli), easier backend extension, and reduced maintenance cost. Business value includes faster feature delivery, more reliable simulations, and improved developer experience.
11 Commits • 2 Features
Dec 1, 2024December 2024: Delivered a major Symbolic Hamiltonian core refactor for qibo, enabling backend-agnostic symbolic construction and robust dense-term handling; improved qubit derivation, caching, and density calculations. Implemented plotting API standardization for consistency across modules. Result: more accurate, scalable simulations (TFIM/Heisenberg/Pauli), easier backend extension, and reduced maintenance cost. Business value includes faster feature delivery, more reliable simulations, and improved developer experience.
December 2024
October 2024
2 Commits • 2 Features
Oct 1, 2024Month: 2024-10 — qiboteam/qibo. Focused on documentation accuracy, API clarity, and artifact hygiene to improve onboarding and developer experience. Key achievements: - Documentation: Corrected Z Hamiltonian import in advanced examples; import now from qibo.hamiltonians and removed final_result.npy artifact. Commit ea570bf8a7b52025e49a726a6df5beea62b9273b. - SymbolicHamiltonian API: Added expectation_from_circuit as a separate method from expectation_from_samples to improve API clarity and usability. Commit f9943d75d4f158e5616d781f61eb93f5ad221d76. Impact and business value: - Documentation accuracy and artifact integrity improved, reducing user confusion and support overhead. - API surface clarified, accelerating user adoption and reducing time-to-value for new features. Technologies/skills demonstrated: - Python, API design and refactoring, documentation practices, and version control hygiene; cross-team collaboration with docs and API teams.
October 2024
2 Commits • 2 Features
Oct 1, 2024Month: 2024-10 — qiboteam/qibo. Focused on documentation accuracy, API clarity, and artifact hygiene to improve onboarding and developer experience. Key achievements: - Documentation: Corrected Z Hamiltonian import in advanced examples; import now from qibo.hamiltonians and removed final_result.npy artifact. Commit ea570bf8a7b52025e49a726a6df5beea62b9273b. - SymbolicHamiltonian API: Added expectation_from_circuit as a separate method from expectation_from_samples to improve API clarity and usability. Commit f9943d75d4f158e5616d781f61eb93f5ad221d76. Impact and business value: - Documentation accuracy and artifact integrity improved, reducing user confusion and support overhead. - API surface clarified, accelerating user adoption and reducing time-to-value for new features. Technologies/skills demonstrated: - Python, API design and refactoring, documentation practices, and version control hygiene; cross-team collaboration with docs and API teams.
Activity
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Quality Metrics
Correctness89.4%
Maintainability87.2%
Architecture85.2%
Performance82.4%
AI Usage21.8%
Skills & Technologies
Programming Languages
C++JavaScriptNumPyPythonRSTShellSymPyTOMLYAMLpython
Technical Skills
API DesignAlgorithm ImplementationBackend DevelopmentBackend IntegrationBuild AutomationBuild ConfigurationBuild ManagementBuild ToolsCI/CDCircuit ConstructionCircuit ModelingCircuit TranspilationCode CleanupCode CommentingCode Coverage
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