About
Chen Gadi.
M.Sc. student in Particle Physics at Tel Aviv University, with a B.Sc. in Mathematics and Physics (Magna Cum Laude, Dean's List 2024). I work on quantum computing, quantum machine learning, and physics-inspired algorithms.
My research practice is simulator-first and reproducibility-first: each project is a small experiment with named baselines, an explicit measurement-efficiency or accuracy signal, and visible limitations. I avoid unsupported quantum-advantage claims and aim for results that re-run from each project's repository.
On the teaching side, I serve as a teaching assistant and run tutorials in linear algebra and calculus for engineering students.
Research Interests
Quantum Computing
Quantum algorithms, quantum measurement design, and simulator-based prototypes.
Quantum Machine Learning
Quantum kernels, adaptive measurement policies, and matched-budget benchmarks.
Physics-Inspired Algorithms
Hamiltonian dynamics, wavefunction optimization, and Born-rule classifiers.
Mathematical Research Prototypes
Reproducible code, honest baselines, and visible limitations.
Research Principles
- · Simulator-first, hardware-aware later.
- · Honest baselines before claims.
- · No unsupported quantum-advantage claims.
- · Mathematical clarity and reproducibility.
- · Research prototypes with visible limitations.
Education
M.Sc. in Particle Physics
Tel Aviv University
2024 — Present · Focus: quantum computing, quantum machine learning, and physics-inspired algorithms
B.Sc. in Mathematics and Physics
Tel Aviv University
2020 — 2024 · Graduated with Honors (Magna Cum Laude) · Dean's List 2024
Teaching
I have served as a teaching assistant at Tel Aviv University since 2022 — running tutorials in linear algebra and calculus (Calculus 1 and 2), and grading for linear algebra, calculus, complex functions, and ordinary differential equations. I design practice problems and record tutorial sessions to extend office hours beyond the classroom.
Browse course materials