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Lately programming lots of quantum
⚛️
Lately programming lots of quantum

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apozas/README.md

Hi there 👋

I'm a post-doctoral researcher in the Quantum Information Theory group at Université de Genève. My current research focuses, mostly, in the interplays between machine learning and quantum physics, and in quantum nonlocality. In the past, I have also worked in quantum thermodynamics, and in quantum information aspects of quantum field theory.

What you will find 👀

There are a few things that you may find wandering around here:

  • Computational appendices of research papers 🖥️: It is my belief that science should be open and reproducible (and that scientists shouldn't waste their time programming things that have already been programmed). Due to this, I always make an attempt to publishing the computer codes employed in each scientific publication I author. Examples of these computational appendices are triangle-quantum-nonlocality, private-tn, fullnn, rapid, quantum-networks-scalar-extension, gaussianotto, bayesian-dl-quantum (this last one, in GitLab).
  • Teaching material 📚: of different lectures and courses I have taught. This is the case of teaching and BIST-Python-Bootcamp.
  • Learning material 🔍: mostly in classical and quantum machine learning, developed while studying the subjects. Examples are ml-projects, qml-rg, and ebm-torch, which is a library written in Pytorch to train energy-based generative models.
  • An Android app! 📱 which helped me retain sanity during 2020: contactdiary

More ➕

  • 📫 How to reach me: Drop me an email (this is easy to find in the web) or find me on Twitter or Mastodon.
  • 😄 Pronouns: he/him

apozas' GitHub stats

Popular repositories

  1. contactdiary contactdiary Public

    Keep track of the people you have recently been with

    Kotlin 43 13

  2. ebm-torch ebm-torch Public

    Energy-based models in PyTorch

    Python 12 5

  3. qaoa-color qaoa-color Public

    Qiskit camp 2019 hackathon: Using QAOA for solving the graph coloring problem

    Jupyter Notebook 9 1

  4. ml-projects ml-projects Public

    Collection of different Machine Learning architectures, written in different Python libraries

    Python 8

  5. rapid rapid Public

    RAPID: Training energy-based models through Restricted Axons and Pattern-InDuced correlations

    Python 5 1

  6. quantum-networks-scalar-extension quantum-networks-scalar-extension Public

    Code repository for Phys. Rev. Lett. 123, 140503 (2019) [arXiv:1904.08943]

    Jupyter Notebook 3