Skip to content
View sofips's full-sized avatar
🐬
🐬
27 followers · 23 following
  • Instituto de Física Enrique Gaviola - Universidad Nacional de Córdoba
  • Córdoba, Argentina

Achievements

Achievement: YOLOAchievement: Pull Sharkx2

Achievements

Achievement: YOLOAchievement: Pull Sharkx2

Highlights

  • Pro

Block or report sofips

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sofips/README.md

Sofía Perón Santana

PhD student in Quantum Physics

  • 🌱 I’m currently learning how to use machine learning techniques to solve optimization problems in Quantum Mechanics.

  • 💬 Ask me about Fortran, Numerical Methods, Python, Reinforcement Learning, Neural Networks

  • 📫 You can reach me at: sofiperon98@gmail.com / sofia.peron@mi.unc.edu.ar

  • 📄 Know about my experiences here

  • ⚡Free culture and Free software supporter⚡

Languages and Tools:

blender linux matlab photoshop python

Pinned Loading

  1. gen_alg_xxz gen_alg_xxz Public

    Uses genetic algorithms to find couplings that allow good transmissions in XXZ hamiltonians

    Jupyter Notebook

  2. qcl qcl Public

    Reproduction of the results obtained in the work of Mitarai et al. (https://doi.org/10.1103/physreva.98.032309) where they propose and apply a framework called Quantum Circuit Learning to three dif…

    Jupyter Notebook

  3. QM_deep_rl QM_deep_rl Public

    Implementation of the algorithm developed in the work of Zhang et. al (https://doi.org/10.1103/PhysRevA.97.052333). The following code uses Deep Reinforcement Learning to obtain an optimal sequence…

    Python

  4. quantum-state-transfer quantum-state-transfer Public

    Implementation of the algorithm developed in the first part of the work of Zhang et. al (https://doi.org/10.1103/PhysRevA.97.052333). Finds optimal couplings to achieve a perfect transmission via i…

    Fortran