Metadata-Version: 2.4
Name: qupepfold
Version: 0.5.0
Summary: QuPepFold: Quantum peptide folding simulations with Qiskit
Home-page: http://vidyaniranjan.co.in/?i=1
Author: Akshay Uttarkar, Vinay Kumar, Vidya Niranjan
Author-email: Akshay Uttarkar <akshayuttarkar@gmail.com>
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Quantum Computing
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: qiskit>=0.39
Requires-Dist: qiskit-aer
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: scipy
Dynamic: author
Dynamic: home-page
Dynamic: requires-python

# QuPepFold

Quantum peptide‐folding simulations built on Qiskit.

## Installation

```bash
pip3 install qupepfold


### You can use in our custom code as

from qupepfold import generate_turn2qubit, protein_vqe_objective

seq = "HHPHPH"
fixed, fb, vb = generate_turn2qubit(seq)
result = protein_vqe_objective(
    protein_sequence=seq,
    hyperParams={…}
)
print(result)



