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This repository contains code to implement the classical and quantum subroutines for the paper "Modeling Stochastic Chemical Kinetics on Quantum Computers". Additionally, it contains numerical results and/or raw data not reported in the main text and Supplemental Materials.

Home Page: https://arxiv.org/abs/2404.08770

License: MIT License

Jupyter Notebook 99.44% Python 0.56%
chemical-physics quantum-algorithms quantum-computing stochastic-chemical-kinetics

schlogl-model's Introduction

Schlogl Model

License: MIT Qiskit Static Badge

This repository contains code to implement the classical and quantum subroutines for the paper Modeling Stochastic Chemical Kinetics on Quantum Computers.

Link to the paper: arXiv:2404.08770.

Authors: T. Kabengele, Y. M. Lokare, J. B. Marston, and B. M. Rubenstein.

The following Qiskit software versions are needed to run QPE + VQSVD:

  • qiskit-terra: 0.24.0
  • qiskit-aer: 0.12.0
  • qiskit-ibmq-provider: 0.20.2
  • qiskit: 0.43.0

The following Qiskit software versions are needed to run VQD:

  • qiskit-terra: 0.25.1
  • qiskit-algorithms: 0.1.0
  • qiskit: 0.44.1

Version of Paddle Quantum required to run numerical simulations: 2.4.0; refer PaddleQuantum for more details.

We use the Python poetry package management system to manage all package dependencies in Python.

Note: The DD analysis and/or results contained in this repository are irrelevant for the present study.

Citation

Cite this paper as follows:

@misc{kabengele2024modeling,
      title={Modeling Stochastic Chemical Kinetics on Quantum Computers}, 
      author={Tilas Kabengele and Yash M. Lokare and J. B. Marston and Brenda M. Rubenstein},
      year={2024},
      eprint={2404.08770},
      archivePrefix={arXiv},
      primaryClass={quant-ph}
}

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