Physics student from Bogotá, Colombia, interested in the intersection of Quantum Computing, Particle Physics, and Scientific Computing.
My long-term goal is to contribute to the development of quantum algorithms and computational methods for fundamental physics.
- Quantum Computing
- Quantum Algorithms
- Particle Physics
- Scientific Computing
- Numerical Methods
- Monte Carlo Methods
- Machine Learning for Physics
Study and implementation of quantum algorithms, quantum simulation, and applications to physical systems.
Statistical analysis of proton-proton collision data using CERN Open Data and ROOT.
Implementation and comparison of deterministic and stochastic numerical methods for multidimensional integration.
Comparison between analytical solutions and neural networks (RNN/LSTM) applied to physical systems.
Numerical methods, differential equations, and scientific programming in C++ and Python.
- Geant4
- Quantum Error Correction
- Quantum Machine Learning
- Variational Quantum Algorithms
- Quantum Simulation
- High Performance Computing
Python • C++ • C • Julia
NumPy • SciPy • Matplotlib • Pandas • ROOT
Qiskit
Linux • Git • GitHub
- Build open-source quantum computing projects.
- Develop simulations combining quantum computing and particle physics.
- Contribute to scientific software.
- Pursue graduate studies in Quantum Computing and Particle Physics.