The Python code for the paper A Hybrid Quantum-Classical Algorithm for Robust Fitting

Overview

About

The Python code for the paper A Hybrid Quantum-Classical Algorithm for Robust Fitting

The demo program was only tested under Conda in a standard computer with Ubuntu 20.04.

If you find our code is useful, please cite:

@article{Dzung22hqc,
  title = {A Hybrid Quantum-Classical Algorithm for Robust Fitting},
  author = {Anh-Dzung Doan and Michele Sasdelli and Tat-Jun Chin and David Suter},
  journal={arXiv preprint arXiv:2201.10110},
  year = {2022}
}

Installation

  • Python 3.7
  • numpy 1.21 (pip install numpy)
  • matplotlib 3.4 (pip install matplotlib)
  • pickle5 (pip install pickle5)
  • D-Wave Ocean (pip install dwave-ocean-sdk)
  • qubovert (pip install qubovert)
  • Gurobi (python -m pip install gurobipy==9.1.2)
  • opencv (pip install opencv-python)

Usage

  • Synthetic data (script main_synthetic.py)

    1. (Optional) Register an account on D-Wave Leap (https://cloud.dwavesys.com/leap/login/?next=/leap/), obtain TOKEN of D-Wave Leap, and assign its value to the variable TOKEN within the script.
    2. Run script Note: if TOKEN of D-Wave Leap is provided (step 1), QUBO will be solved by quantum annealing, otherwise QUBO will be solved by simulated annealing
  • Real data (script main_fund.py)

    • Simply run script (It may take around 30 minutes)
Owner
Anh-Dzung Doan
Postdoctoral researcher at Australian Institute for Machine Learning
Anh-Dzung Doan
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