Antonio Mezzacapo
Principal Researcher at NVIDIA
New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAntonio Mezzacapo is a Principal Researcher in quantum computing and computational chemistry with nine years of research and engineering experience, currently based in New York and recently joining NVIDIA after a multi-year research career at IBM. He holds a PhD in theoretical physics and has deep hands-on expertise translating quantum chemistry problems into qubit representations, contributing optimization methods like SPSA and fermion-to-qubit mappings to the widely used Qiskit open-source SDK. At IBM he progressed from postdoc to principal scientist, blending theoretical rigor with production-grade back-end development and algorithm implementation. Known for adding practical tools such as qubit tapering and symmetry-finding routines to Qiskit-Aqua, he bridges advanced theory and usable software for quantum algorithm development. Colleagues value his ability to move from mathematical derivations to clean, testable code that accelerates real-world quantum experiments.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical physics, Doctor of Philosophy - PhD, Theoretical physics at EHUMaster's degree, Condensed Matter and Materials Physics, Master's degree, Condensed Matter and Materials Physics at Università degli Studi di Napoli Federico II
Italian, English, Spanish, French
Github Skills (11)
algorithm10
quantum-computing10
algorithms10
qiskit10
python10
implement10
numpy9
data-analysis9
quantum-chemistry9
linear-algebra8
information-theory7
Programming languages (4)
Github contributions (5)
Qiskit/qiskit
Jun 2017 - Feb 2018
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:44 commits, 10 PRs, 12 comments in 7 months
Contributions summary:Antonio contributed to the development of optimization tools within the Qiskit repository. They added functions related to optimization, specifically SPSA (Simultaneous Perturbation Stochastic Approximation) and the integration of Pauli operators, which are essential for quantum algorithm development. Furthermore, the user implemented functions to map fermionic Hamiltonians to qubit Hamiltonians and performed potential energy surface analysis for H2 and LiH molecules, showcasing skills in quantum chemistry and algorithm implementation.
pythonquantum-circuitsquantum-computingcircuitsquantum-circuit
qiskit-community/qiskit-aqua
Jul 2018 - Feb 2019
Quantum Algorithms & Applications (**DEPRECATED** since April 2021 - see readme for more info)
Role in this project:Back-end Developer
Back-end DeveloperContributions:19 commits, 7 PRs, 6 pushes in 7 months
Contributions summary:Antonio primarily contributed to the `qiskit-aqua` repository by implementing and modifying core functionalities within the `operator.py` file. They introduced new functions like `row_echelon_F2`, `kernel_F2`, and `find_Z2_symmetries`, suggesting a focus on quantum algorithm development. Additionally, they made minor adjustments to comments and imports, and incorporated a `qubit_tapering` method. They also contributed to `bksf.py` to the Qiskit Chemistry project.
aprilquantum-computingquantum-algorithmsmore-infoquantum-programming-language
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