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Physics PhD student at UPV/EHU.
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protectability-qubits-dynamical-decoupling
November 13, 2022 – December 17, 2022
Repository containing the Python Jupyter Notebooks used in the article titled "Protectability of IBMQ qubits by dynamical decoupling technique".
View Projectphysical-systems-for-quantum-computing
April 28, 2021 – August 7, 2022
Repository containing the Python scripts related to my Physics degree end-of-degree project at the University of Alicante. This end-of-degree project is supervised by Joaquín Fernández Rossier.
View Projectdouble-slit-2d-schrodinger
February 25, 2021 – August 7, 2022
This repository contains Python 3 scripts for simulating the passage of a 2D Gaussian wave packet through a double slit. For this, the 2D Schrödinger equation is solved using the Crank-Nicolson numerical method.
View Projectmatplotlib-streamtubes
September 24, 2020 – August 7, 2022
MATLAB-like streamtubes in Matplotlib.
View Projectcomplex-plotting-tools
September 21, 2020 – August 7, 2022
Module for plotting complex-valued functions of complex variable using different methods.
View Projectlatex-to-github-app
August 16, 2020 – May 20, 2022
A small app that allows to have LaTeX math in GitHub Markdown README files, for example. Converts LaTeX code to HTML math code readable by GitHub.
View Projectflow-animation-with-scipy-odeint
August 1, 2020 – August 7, 2022
Particle flow animation with the trajectories of the particles being computed using the function odeint from scipy.integrate.
View ProjectFraunhofer-pattern
May 11, 2020 – August 7, 2022
Use a Matplotlib gridspec to plot the Fraunhofer pattern of a 2 rectangle aperture.
View Projectmatplotlib-fill_between-in-3D
March 22, 2020 – January 29, 2025
Example of a way of bringing the Python 3 matplotlib.pyplot.fill_between function to 3D plots.
View Projecthigh-precision-calculations-str
January 31, 2020 – August 7, 2022
A set of Python 3 defined functions. They can provide high decimal precision calculations using numbers in "str" format. The algorithms used are the same as those used when performing the calculations by hand. All using Python 3 built-in functions.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic and personal scientific computing, primarily in physics. While demonstrating strong technical aptitude, there is limited evidence of experience in collaborative, product-oriented data science environments or exposure to diverse industry tools and methodologies beyond scientific Python libraries. This might indicate a need for adaptation to a more business-centric data science culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong focus on individual technical contributions.