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I am Phd studenty with focused on applying quantum and classical artificial intelligence to solve optimization problems and differential equations.

Key Skills

  • 🖥️ Quantum Computing: Continuous variable quantum computing
  • 🌌 Quantum Machine Learning: Quantum neural network
  • 💡 Machine Learning: Pandas, seaborn, matplotlib, Scikit-learn, other
  • 🧠 Neural Networks: TensorFlow, PyTorch
  • 🎯 Problem Solving: Hard problems in physics, quantum mechanics, algebra, and advanced math. Numerical methods for solving differential equations

Programming Language

  • 🐍 Python (+3 years)
  • 🖋️ C++ (~1 year)
  • ☕ Java (~6 months)

My programming work

  • Repository about Pytorch

    In this repository there are some introductory steps with step-by-step instructions on how to program a neural network for regression and classification problems, using CPU and GPU.

  • Learning Machine Learning

    This repository is dedicated to my study of Machine Learning.

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