Hayk Sargsyan
Senior Software Engineer at Zurich Instruments
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolHayk Sargsyan is a senior software engineer and physicist with six years of experience building software stacks and orchestration tools for superconducting quantum computers. He has driven low-level compilation, pulse scheduling, and multi-vendor instrument orchestration at IQM and the Technology Innovation Institute, and now works on precision control software at Zurich Instruments. Comfortable switching between lab bench and codebase, he combines hands-on calibration and troubleshooting with designing abstractions that enable automated experiments across different hardware. A PhD-trained theorist who taught quantum mechanics and built educational materials, Hayk also contributes to community resources—updating the well-known QML MOOC notebooks to run on modern Qiskit—highlighting his knack for making complex concepts accessible. Known for debugging convoluted systems, strong memory for prior discussions, and mentoring teammates, he bridges research, product, and customer-facing roles to move quantum software from prototype to practice.
6 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical Physics, Doctor of Philosophy - PhD, Theoretical Physics at Yerevan State University
Armenian, English, Russian
Github Skills (4)
jupyter-notebook10
qiskit10
documentation10
python8
Programming languages (5)
Github contributions (5)
qosf/qml-mooc
Jun 2020 - Oct 2020
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
Role in this project:
Technical Writer
Technical WriterContributions:10 commits, 1 PR, 2 comments in 4 months
Contributions summary:Hayk's commits primarily focused on fixing typos and making the content compatible with updated versions of Qiskit. Their work involved correcting grammatical errors and ensuring the code examples and notebooks aligned with the latest Qiskit API changes. Furthermore, the user updated the notebooks to leverage the most recent operator interface within the Qiskit framework, which suggests efforts to improve the usability and maintainability of the material.
quantum-computingedxquantum-algorithmsmachine-learningnotebooks
hay-k/armenian-latex
Jul 2019 - Mar 2025
Contributions:4 PRs, 7 pushes, 5 branches in 5 years 8 months
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