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adamreidsmith/README.md

πŸ‘‹ Hi there, I'm Adam

I'm a recent MSc graduate in Geomatics Engineering from the University of Calgary where I applied quantum computing approaches to advance geospatial computing. I have a deep passion for data science, quantum computing, and machine learning, and am seeking employment opportunities these areas!


  • πŸ‘¨πŸ»β€πŸŽ“ MSc Geomatics Engineering (check out my thesis), BSc Mathematical Physics
  • πŸ“š Academic Interests:
    • βš›οΈ Quantum Computing
    • πŸ€– Machine Learning
    • πŸ§ͺ Scientific Computing
  • πŸ‘¨πŸ»β€πŸ’» Languages:
    • 🐍 Proficient in Python
    • Familiar with MATLAB, LaTeX
    • Some experience with Mojo, C++, JavaScript, HTML, CSS
  • 🌱 Learning:
    • πŸ”₯ Mojo
    • πŸ”’ Tensor networks
  • πŸ“† Hobbies:
    • ⛰️ Mountain running
    • ⛷️ Skiing
    • 🚴 Cycling

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  1. QML-for-Building-Detection QML-for-Building-Detection Public

    Quantum and classical SVM-based models for building detection in aerial LiDAR point clouds.

    Python 1

  2. Quantum-Dropout Quantum-Dropout Public

    Explores a novel approach for integrating quantum machine learning techniques into deep learning dropout layers.

    Python 1

  3. QuantumAgents QuantumAgents Public

    Implements memory-efficient quantum encodings of agent-based models for viral infection spread and traffic modelling.

    Python 1

  4. imu-mechanization imu-mechanization Public

    Python module to implement IMU mechanization and compute navigation information.

    Python 1

  5. ember ember Public

    A quantum computing platform implemented in Mojo πŸ”₯

    Mojo 4

  6. comp-phys comp-phys Public

    Implementations of a few computational physics models demonstrating numerical differential equation solving, integration, and the Monte Carlo method.

    Jupyter Notebook 1