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@QFold-Thesis

QFold-Thesis

🧬 QFold-Thesis

Quantum Approaches to Protein Folding

Welcome to the QFold-Thesis organization. This repository collection constitutes the software artifacts and documentation for our Bachelor of Engineering (B.Eng.) Thesis.

Our work focuses on the practical implementation, analysis, and extension of quantum algorithms for the Protein Folding Problem, building upon the foundational frameworks provided by Qiskit and recent academic publications.


Python Version Qiskit Version
Qiskit Algorithms IBM Runtime


🌟 Featured Project

quantum-protein-folding

The Core Simulation Engine

An extensible framework for simulating peptide chains on quantum hardware using VQE.
Based on and extending the Qiskit Community implementation.

🛠️ Key Capabilities:
Hamiltonian ConstructionLattice Models (MJ/HP)3D VisualizationCustom Penalty Tuning

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Documentation


👥 Authors

This project was developed by:


📚 Acknowledgements & References

This implementation is heavily inspired by and extends the work of:

  • Anton Robert, Panagiotis Kl. Barkoutsos, Stefan Woerner, Ivano Tavernelli "Resource-efficient quantum algorithm for protein folding." arXiv:1908.02163
  • The Qiskit Community repository: quantum-protein-folding

Developed at Gdańsk University of Technology, Poland | 2025

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  1. quantum-protein-folding quantum-protein-folding Public

    Exploring protein folding through quantum computing methods, inspired by recent quantum-approach research.

    Python 4

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