Gadi Aleksandowicz
Research Staff Member at IBM
Israel
Summary
🤩
Rockstar🎓
Top SchoolGadi Aleksandowicz is a Research Staff Member at IBM and a lecturer at the Technion with 13 years of experience bridging academic research and production-grade quantum software. He holds a PhD in Computer Science from the Technion and has deep expertise in quantum simulation, noise modeling, and verification—evident from sustained contributions to flagship open-source projects like Qiskit and Qiskit-Aer. His work spans back-end development, algorithm engineering, and QA/test automation, improving simulator performance, multi-qubit noise transformations, and error-mitigation validation. Colleagues rely on him to harden complex numerical code and tests that make quantum tooling more accurate and reliable. A less obvious strength is his dual role in academia and industry, which helps translate theoretical advances into robust, production-ready implementations.
13 years of coding experience
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Technion-Machon Technologi Le' Israel
Stackoverflow
3,509reputation
489kreached
4answers
70questions
Github Skills (24)
algorithm10
algorithms10
python10
simulator10
testing10
data-structure10
data-structures10
quantum-computing10
qiskit10
test-automation10
c-language9
unit-testing9
cprogramming-language9
gpu8
convex-optimization8
Programming languages (8)
Github contributions (5)
qiskit-community/qiskit-ignis
Dec 2018 - Mar 2021
Ignis (deprecated) provides tools for quantum hardware verification, noise characterization, and error correction.
Role in this project:
Back-end Developer & QA Engineer/Test Automation Engineer
Back-end Developer & QA Engineer/Test Automation EngineerContributions:11 reviews, 20 commits, 26 PRs in 2 years 3 months
Contributions summary:Gadi primarily contributes to the Qiskit Ignis repository, which focuses on quantum hardware verification and related tasks. Their work includes fixing issues within the convex optimization fitter (cvx_fit.py) to improve solver resilience. They also added and modified state and process tomography tests, along with related documentation and tests, demonstrating a focus on the verification and testing of quantum information processing tools.
characterizationquantum-computingquantum-algorithmsphotonicsquantum-programming-language
Qiskit/qiskit-aer
Apr 2019 - Mar 2021
Aer is a high performance simulator for quantum circuits that includes noise models
Role in this project:Back-end Developer & Algorithm Engineer
Back-end Developer & Algorithm EngineerContributions:8 releases, 34 reviews, 7 commits in 1 year 11 months
Contributions summary:Gadi primarily focused on enhancing the `qiskit-aer` library's noise modeling capabilities. Their work involved transforming noise channels, implementing noise approximation methods, and extending the library to support multi-qubit noise transformations. A key part of their contribution was the development and optimization of functions for calculating expectation values for Pauli operators, utilizing the thrust library for performance improvements. These changes demonstrate a focus on improving the simulator's accuracy and efficiency, particularly for quantum circuit simulation involving noise.
quantum-circuitsquantum-computinggpucircuitsquantum-algorithms
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