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nataliatercero/README.md

Natalia Tercero Barrio

Software Engineering, Computational Physics, and Mathematics Student.

I am focused on the intersection of theoretical physics and high-performance computing (HPC). My primary interest lies in learning how to translate complex physical models into optimized, system-level code.

Current Focus & Interests

  • High-Performance Computing: Memory optimization, multithreading, and matrix-free methods.
  • Computational Physics: Tensor networks, DMRG/MPS algorithms, and quantum simulation.

Technologies

  • Languages: C++, Python, OpenQASM, GLSL, Java, C#, TypeScript.
  • Infrastructure & Tools: OpenMP, Eigen, OpenGL, Docker, Git.

Contact

LinkedIn

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  1. AdS-engine AdS-engine Public

    Tensor Network HPC framework based on DMRG and MPS algorithms, designed to study scrambling dynamics, operator commutation (OTOCs), and emergent spacetime in tensor networks.

    C++ 1

  2. opengl-engine-double-slit-sim opengl-engine-double-slit-sim Public

    Custom 3D graphics engine built from scratch in C++/OpenGL, featuring a full rendering pipeline, bounding sphere collision system, and a real-time double-slit wave interference simulation with per-…

    C++ 1

  3. QSimCore-Chaos QSimCore-Chaos Public

    High-performance {O}(2^N) quantum simulator in C++ with Python bindings. Features OpenQASM parsing, time-reversal engines, and OTOC evaluation for simulating quantum scrambling and Lieb-Robinson li…

    Jupyter Notebook 1

  4. Riemann-GUE-Chaos Riemann-GUE-Chaos Public

    C++ high-performance solver for Random Matrix Theory (GUE). Computes the Spectral Form Factor (SFF) to visualize quantum chaos (Dip-Ramp-Plateau signature).

    C++ 1