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Achievement: Pull Sharkx2Achievement: Pair Extraordinairex2Achievement: YOLO

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Ziadt160/README.md

Ziad Tarek

Quantum Computing & Machine Learning Engineer

Building quantum algorithms from first principles  ·  neuro-symbolic & physics-informed ML  ·  full-stack when it ships

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About

I work at the intersection of quantum computing and machine learning — implementing algorithms from the math up rather than from a library down. My repositories span quantum singular value transformation, variational algorithms (VQE/QAOA), quantum kernels and QCNNs, and physics-informed / neuro-symbolic models. I also build and ship full-stack applications (Laravel, TypeScript/React) end to end.

  • 🔬 Quantum: QSVT, VQE, QAOA, quantum kernels, gate decomposition, Qiskit tooling
  • 🧠 ML/AI: graph neural networks, neuro-symbolic learning, RAG systems
  • 🛠️ Web: Laravel/PHP and TypeScript/React APIs and interfaces
  • 🌍 Based in Egypt · working in English & Arabic

Tech Stack

Languages

Python C++ TypeScript PHP

Quantum & Scientific

Qiskit NumPy Jupyter

Machine Learning

PyTorch scikit-learn Pandas

Web & Tooling

Laravel React Docker Git

Featured Work

BrainEmergence SAL

QSVT framework qiskit-migration-assistant

🧠 BrainEmergence · A spiking neural network that recognizes images by imagining them — it reconstructs occluded input top-down, then re-reads it. Paired with a rigorous negative-results study of when brain-inspired generation actually beats simpler baselines.

🧬 SAL — Structure-Aware Learning · A neuro-symbolic framework where neurons are mutable symbolic operators; discovers parameter-efficient architectures via gradient-importance + simulated annealing. Solves 256-bit parity and models chaotic dynamics (Lorenz, double pendulum).

⚛️ QSVT · A first-principles C++ framework for Quantum Singular Value Transformation.

🔧 qiskit-migration-assistant · Tooling to migrate Qiskit codebases across API versions.

GitHub Stats

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Open to research collaboration and interesting problems in quantum & ML.

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  1. SpecQ-Hamiltonian SpecQ-Hamiltonian Public

    Hamiltonian classifiers for quantum machine learning using a flipped, subspace-informed architecture for logarithmic qubit/gate complexity (arXiv:2504.10542).

    Python 1

  2. PI-GNN-Dust PI-GNN-Dust Public

    Physics-informed graph neural networks forecasting observed dust events over Saudi Arabia, verified against airport METAR reports.

    Python

  3. SAL--Structure-Aware-Learning-for-Parameter-Efficient-Neuro-Symbolic-Modeling SAL--Structure-Aware-Learning-for-Parameter-Efficient-Neuro-Symbolic-Modeling Public

    Structure-Aware Learning: a neuro-symbolic framework treating neurons as mutable symbolic operators, discovering parameter-efficient architectures via gradient-importance and simulated annealing.

    Python

  4. BrainEmergence BrainEmergence Public

    Spiking neural network that recognizes images by imagining them - plus an honest negative-results study of when brain-inspired generation beats simpler baselines.

    Python

  5. qiskit-migration-assistant qiskit-migration-assistant Public

    RAG system that ports old Qiskit code to the latest 2.x release - grounded in the real deprecation record and verified by executing the result in a sandbox.

    Python