Antal Száva

Quantum Research Software Developer at Eötvös Loránd University

Budapest, Hungary
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Summary

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Antal Száva is a Quantum Research Software Developer with 9 years of engineering experience and 5+ years focused on quantum computing, blending hands-on Python/C++ development with research-grade protocol design. He led the PennyLane core team at Xanadu, managing major releases, JAX integrations, and contributor growth while also contributing performance and simulation features to the widely used Strawberry Fields photonic library. After Xanadu he developed fault-tolerant and QEC tooling at QC Design—adding IBM backend connectivity and dynamic-circuit simulators—and now works on secure quantum cloud protocols in a European QuantERA project at ELTE. He also contributes to Piquasso at the Wigner Research Centre, signaling continued commitment to open-source photonic tooling. Trained at TU Delft (thesis on quantum network routing at QuTech), Antal combines product-facing release discipline with deep research experience across networking, error correction and secure quantum services. Colleagues rely on him for pragmatic architecture decisions that bridge prototype research and production-ready quantum software.
code9 years of coding experience
job5 years of employment as a software developer
bookEIT Digital Master School
bookMaster's degree, Cloud Computing and Services, Master's degree, Cloud Computing and Services at Technische Universität Berlin
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Eötvös Loránd University
bookMaster of Science - MS, Cloud Computing and Services, Master of Science - MS, Cloud Computing and Services at Delft University of Technology
languagesEnglish, German, Hungarian
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Github Skills (21)

lan10
learn-ruby-on-rails10
python10
testing10
user-manual10
machine-learning10
basics10
photonics10
quantum-computing10
q-learning10
ane10
unit-testing9
pytorch9
pytest9
autograd9

Programming languages (5)

OpenQASMJavaC++HTMLPython

Github contributions (5)

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PennyLaneAI/demos

Aug 2020 - Dec 2022

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Role in this project:
userML Engineer
Contributions:184 reviews, 134 commits, 168 PRs in 2 years 4 months
Contributions summary:Antal primarily contributed to the development and maintenance of quantum machine learning tutorials and demonstrations within the PennyLane framework. Their work involved updating and integrating code for various quantum machine learning models, including those involving quantum chemistry, quanvolution, and metric learning. Furthermore, the user added new tutorials on SPSA optimization techniques and updated existing demonstrations to use the latest PennyLane functionalities, specifically the use of qml.sample and qml.expval(H).
quantum-computingquantum-machine-learningqmlkey-conceptsautomatic-differentiation
XanaduAI/strawberryfields

Feb 2020 - Nov 2021

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Role in this project:
userBack-end Developer & Test Automation Engineer
Contributions:215 reviews, 60 commits, 77 PRs in 1 year 8 months
Contributions summary:Antal primarily contributed to the Strawberry Fields library by implementing new features and improving existing ones. Their work involved adding Numba to the setup.py file, indicating a focus on performance optimization. They also added and tested new chip specifications for quantum circuits, including the X12 series, demonstrating proficiency in circuit design and testing. Further, they updated the code to provide access to samples from the engine, also creating and updating plotting utilities.
full-stackpythonquantumquantum-computingquantum-programming-language
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