I am a 4th-year Physics and Mathematics Double Degree student at the University of Oviedo. I am deeply passionate about the intersection of theoretical physics and computing, with a strong focus on quantum information theory and quantum machine learning.
- Quantum Computing & QML: Exploration of variational quantum algorithms, quantum feature maps, and post-quantum cryptography.
- Machine Learning & AI: Application of supervised learning algorithms, predictive modeling, and data-driven methods for scientific research.
- Computational Physics: Statistical data processing, stochastic modeling, and numerical validation of physical systems.
- Scientific Computing: Python (NumPy, SciPy, Matplotlib)
- Quantum SDKs: Qiskit
- Statistical Analysis: R
- Typesetting & Documentation: LaTeX
- Quantum Machine Learning – IBM Quantum Learning (Quantum kernels, parameter-shift rule, and variational circuits).
- Advanced Cryptography in Cybersecurity – INCIBE & University of Oviedo.
- Generative AI – Academic workflow optimization, prompt engineering, and code synthesis.
- X-Ray Multilayer Monochromator Simulation: Developed a Python environment to model X-ray reflectivity using the kinematic and Parratt dynamic models, incorporating multi-objective optimization (Pareto Fronts) for synchrotron radiation beamlines.
- Academic Email: [u0301613@uniovi.es]
- LinkedIn: linkedin.com/in/joel-lópez-villanueva-85b936294