Code for Data re-uploading for a universal quantum classifier

Adrián Pérez-Salinas, Alba Cervera-Lierta, Elies Gil-Fuster, and José I. Latorre.

This is a repository for all code written for the article "Data re-uploading for a universal quantum classifier. Adrián Pérez-Salinas, Alba Cervera-Lierta, Elies Gil-Fuster, and José I. Latorre." It gives numerical simulations of the quantum classifier in Quantum 4, 226 (2020).

All code is written Python. Libraries required:

• matplotlib for plots
• numpy, os, scipy
• scikit-learn

Files included:

• QuantumState.py: Simulator of a quantum circuit using only basic Python packages such as numpy
• big_functions.py: Functions acting as the master of all other subroutines in the simulator
• circuitery.py: Translates the problem to the quantum circuit basic level.
• classical_benchmark.py: Provides some classical examples using scikit learn.
• data_gen.py: Generates random training and data set for different problems.
• fidelity_minimization.py: All the code needed for the fidelity cost function.
• main.py: This is the only file one needs to change. Everything can be set up there: number of qubits, layers, entanglement, cost function, problem, etc. The only thing one has to do is to run this file.
• problem__gen.py: Generates data of the problem we need for other files.
• save_data.py: Saves results in text files and images.
• test_data.py: Tests the performance of the classifier, and outputs variables needed for saving data.
• weighted_fidelity_minimization.py: All the code needed for the weighted fidelity cost function.

How to cite

If you use this code in your research, please cite it as follows:

Pérez-Salinas, A., Cervera-Lierta, A., Gil-Fuster, E., & Latorre, J. I. (2020). Data re-uploading for a universal quantum classifier. Quantum, 4, 226.

BibTeX:

@article{P_rez_Salinas_2020,
   title={Data re-uploading for a universal quantum classifier},
   volume={4},
   ISSN={2521-327X},
   url={http://dx.doi.org/10.22331/q-2020-02-06-226},
   DOI={10.22331/q-2020-02-06-226},
   journal={Quantum},
   publisher={Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften},
   author={Pérez-Salinas, Adrián and Cervera-Lierta, Alba and Gil-Fuster, Elies and Latorre, José I.},
   year={2020},
   month={Feb},
   pages={226}
}