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๐Ÿ“–
Improbabilis โ‡ Impossibilis
๐Ÿ“–
Improbabilis โ‡ Impossibilis

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Luxque/README.md

Daniel Park (Luxque)

"Improbabilitas impossibilitatem non significat."

๐Ÿ–ฅ๏ธ Introduction

Greetings! I am a recent graduate in Computer Science and Mathematics from Rensselaer Polytechnic Institute (RPI). My research interests lie at the intersection of mathematics, computer science, physics, and linguistics, especially quantum information theory, formal verification, and natural language processing.

I believe that groundbreaking insights happen at the intersections. So I thought myself to become a full-stack quantum researcher bridging the gap between abstract theory and practical application. I study and build tools to make quantum computing more rigorous, efficient, and last but not least, accessible for everyone.

If you share the vision of building rigorous and verifiable quantum systems, I would be honored to collaborate. Let's expand the boundaries of quantum computing together; I look forward to connecting!

๐Ÿ”ญ Current Research & Projects

  • QuantumC
    • Goal: Solving the possible post-processing bottlenecks in quantum workflow.
    • Status: Active Development
  • Pictura Quantica
    • Goal: Practical implementation of QML algorithms on simulators and NISQ devices.
    • Status: Improving Learning Model and Feature Implementation
  • GQA and QAOA for QUBO Problems
    • Goal: Comparative analysis of GQA and QAOA on QUBO problem settings in terms of speed and accuracy.
    • Status: Verifying Results Before Release
  • Open Quantum Computing Textbook
    • Philosophy: "Teaching is the best way to learn."
    • Status: Seeking the Hosting Page

๐Ÿ› ๏ธ Technical Stack

  • Programming Languages: Python, Q#, C, C++, Java, and JavaScript
  • Libraries & Packages: Qiskit, Cirq, PennyLane, PyTorch, and Tensorflow
  • Markup Languages: $\LaTeX$, Markdown, HTML, and CSS

๐ŸŒฑ Currently Learning

  • Mathematics
  • Computer Science
    • Reviewing compiler theory for the QuantumC project.
    • Exploring lambeq and quantum natural language processing.
  • Physics
    • Learning basic quantum mechanics for the better understanding of quantum computing.
  • Linguistics
    • Studying the structures of classical and extinct languages (e.g., Latin and Tangut).
  • General
    • Learning personal finance.

๐Ÿ“– Currently Reading

  • Mathematics: All the Math You Missed by Thomas A. Garrity
  • Computer Science: QML Unlocked by Javier Mancilla Montero
  • Physics: Quantum Physics For Dummies by Andrew Zimmerman Jones
  • Linguistics: โˆ…
  • General: โˆ…

๐Ÿ“ซ Connect with Me


$$\ket{\psi(\theta, \phi)} = \cos\left(\frac{\theta}{2}\right)\ket{0} + e^{i\phi}\sin\left(\frac{\theta}{2}\right)\ket{1}$$

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  1. Open-Quantum-Computing-Textbook Open-Quantum-Computing-Textbook Public

    A quantum computing textbook written for beginners.

    PowerShell

  2. singlerr/QuantumC singlerr/QuantumC Public

    C99 compatible programming language for Quantum Computing

    Yacc 2

  3. Quantum-Computing-in-Design-Optimization Quantum-Computing-in-Design-Optimization Public

    Jupyter notebooks created for the RPI undergraduate research: Quantum Computing in Design Optimization.

    Jupyter Notebook

  4. GQA-and-QAOA-for-QUBO-Problems GQA-and-QAOA-for-QUBO-Problems Public

    Comparison of genetic quantum algorithm and quantum approximate optimization algorithm for quadratic unconstrained binary optimization problems.

    Jupyter Notebook

  5. Quantum-Buffons-Needle-Problem-Demonstration Quantum-Buffons-Needle-Problem-Demonstration Public

    Demonstration of quantum randomness via Buffonโ€™s Needle Problem using Qiskit.

    Jupyter Notebook

  6. Pictura-Quantica Pictura-Quantica Public

    A gamified quantum image classifier inspired by 'Quick, Draw!'.

    Python