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Achievement: Pair ExtraordinaireAchievement: StarstruckAchievement: Pull Shark

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VicentePerezSoloviev/README.md

👋 Hey there! This is Vicente P. Soloviev!

I'm a researcher in Classical and Quantum Machine learning. Welcome to my GitHub profile! Here, you'll find a variety of projects and contributions that showcase my skills and interests.

📫 Contact Me

💼 My Work

  • 🌱 I'm currently working as a researcher in Universidad Poitécnica de Madrid in topics related to quantum algorithms design with machine learning.
  • 🔭 PhD Student
  • 💻 IBM Qiskit Advocate
  • 🤝 I'm open to collaboration on new proyects.

📂 Projects

Here are some of the projects I'm proud of:

  1. EDAspy - Python library with efficient implementations of Estimation of Distribution Algorithms (+15k downloads).
  2. UMDA opimizer in Qiskit - As a Qiskit contributor one of my contributions has been the implementation of some new optimizers.
  3. Semiparametric Estimation of Distribution Algorithm - Novel methodology to avoid assuming probability distributions during optimization (available in EDAspy).
  4. Quantum-inspired Estimation of Distribution Algotithm - Quantum-inspired evolutionary algorithm for the TSP problem.
  5. Android app to training paces - Self-learned Android and implemented an Android app to control the paces for athletism and swimming. Available at Play Store.

🤝 Contributions

I actively contribute to open source projects and communities. Here are some of my contributions:

📈 GitHub Stats

GitHub Stats

🔗 Let's Connect

Feel free to explore my repositories and reach out if you want to collaborate or discuss any projects. You can connect with me through my social media profiles or drop me an email.

Thanks for visiting my GitHub profile! 😄

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  1. EDAspy EDAspy Public

    Estimation of Distribution algorithms Python package

    Jupyter Notebook 41 7

  2. QIEDA QIEDA Public

    Quantum-inspired Estimation of Distribution Algorithm (QIEDA) to solve the Traveling Salesman Problem. Presented in IEEE Congress on Evolutionary Computation

    Python 3 1

  3. QAOA_BNSL_IBM QAOA_BNSL_IBM Public

    QAOA_BNSL implemented in Qiskit

    Python 4

  4. EDA_QAOA EDA_QAOA Public

    VQAs ansatz parameter optimization with EDAs

    Python

  5. TS_Transformation_FS TS_Transformation_FS Public

    Time Series Transformations Feature Selection with Estimation of Distribution Algorithms

    Jupyter Notebook

  6. SupervisedMachineLearning SupervisedMachineLearning Public

    Materials for the "Minería de datos" subject in the UPM

    Jupyter Notebook 2 3