I am Phd studenty with focused on applying quantum and classical artificial intelligence to solve optimization problems and differential equations.
- 🖥️ 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
- 🐍 Python (+4 years)
- 🖋️ C++ (~1 year)
- ☕ Java (~6 months)
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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.
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This repository is dedicated to my study of Machine Learning.
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This repository contains my own programming language for quantum computation, quantum algorithm and quantum optics simulation make in Python.
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This repository is a series of Jupyter notebooks dedicated to teaching how to simulate Partially Coherent Beam in Python.
- 📍UFSCar, São Carlos, SP, Brasil.
- 📧 Email: [email protected]
- 🔗 GitHub Portfolio