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Protein-folding-quantum-algorithms

Hybrid quantum-classical simulations of protein folding on simplified lattice models. Implements the CVaR-optimized Variational Quantum Eigensolver (VQE) from Robert et al. (2021) to predict low-energy configurations for short peptide sequences and benchmarks them against classical baselines.

Team Members: Elhaam Bhuiyan , Deborah Olaniyi, Yna Owusu

Quick-start with Google Colab

1 Open the notebook

Every cell can be run top-to-bottom without edits.

2 Clone the repository (first code cell)

!git clone https://github.com/ynaowusu/protein-folding-quantum-algorithms.git
%cd protein-folding-quantum-algorithms

About

Hybrid quantum-classical simulations of protein folding on simplified lattice models. Implements the CVaR-optimized Variational Quantum Eigensolver (VQE) from Robert et al. (2021) to predict low-energy configurations for short peptide sequences and benchmarks them against classical baselines.

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