Jorge De Lejarza
Quantum Computing Educator
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolJorge De Lejarza is a Quantum Computing Educator and PhD candidate specializing in quantum machine learning for high-energy physics, with five years of research and teaching experience across leading institutions including IFIC, CERN, Xanadu, and IBM. He builds and explains practical quantum workflows—ranging from variational algorithms and quantum generative models to quantum Monte Carlo integration—helping universities and partners run experiments on superconducting hardware via Qiskit. Comfortable bridging theory and practice, he has contributed to both academic HEP analyses (ATLAS-related ML) and open-source quantum toolkits like Pennylane and Qibo during visiting stints. Based in Zurich, he blends classroom instruction with hands-on residency and internship roles, often translating complex particle-physics problems into implementable quantum algorithms. An uncommon strength is his track record of moving ideas from symbolic math (Groebner basis for Feynman integrands) to runnable quantum code, making him effective at turning theoretical innovations into educational and experimental outcomes.
5 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Quantum Algorithms and Particle physics, Doctor of Philosophy - PhD Quantum Algorithms and Particle physics at University of Valencia
Catalan, Spanish, English
Github Skills (25)
autodiff10
pytorch10
quantum-chemistry10
quantum-algorithms10
python10
machine-learning10
photonics10
automatic-differentiation10
deep-learning10
tensorflow10
quantum-computing10
qml10
differentiable-programming10
qiskit10
optimization10
Programming languages (1)
Github contributions (5)
gmlejarza/qml_test
May 2024 - Sep 2024
Contributions:3 reviews, 3 PRs, 29 pushes in 4 months
gmlejarza/QuantumKmeans
Apr 2021 - Feb 2022
Contributions:6 pushes, 1 branch in 10 months
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