Protein folding on 2D Lattice model with MJ interaction potentials

This work is based on these previously published manuscripts:

This project presents two implementations for solving the problem of protein folding on a 2D Lattice model:

Simulated Annealing Monte Carlo simulation: i-th amino acid positions are simulated as random walks relative to previous residue
QBit representation using Turn Encoding of Self-Avoiding Walks: The objective energy function has been constructed
- Simulated annealing implementation on conventional CPU
- Quantum annealing on QPU

Results

Protein folding simulated annealing
- 6 amino acid
- 10 amino acid
Protein folding, turn ancilla quantum annealing model, simulated annealing
- 6 amino acid
Protein folding, turn ancilla quantum annealing model, use QPU
- 6 amino acid

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
2DLattice_MJ_QPUAncillaEncoding		2DLattice_MJ_QPUAncillaEncoding
2DLattice_MJ_SimulatedAncillaEncoding		2DLattice_MJ_SimulatedAncillaEncoding
2DLattice_MJ_SimulatedAnnealing		2DLattice_MJ_SimulatedAnnealing
2DLattice_MJ_QPUAncillaEncoding.ipynb		2DLattice_MJ_QPUAncillaEncoding.ipynb
2DLattice_MJ_SimulatedAncillaEncoding.ipynb		2DLattice_MJ_SimulatedAncillaEncoding.ipynb
2DLattice_MJ_SimulatedAnnealing.ipynb		2DLattice_MJ_SimulatedAnnealing.ipynb
Protein Folding, 2D MJ Lattice model on DWave quantum annealing hardware.pdf		Protein Folding, 2D MJ Lattice model on DWave quantum annealing hardware.pdf
README.md		README.md
aux.py		aux.py