Dissipative learning of a quantum classifier


Creative Commons License

Korkmaz U., Türkpençe D.

Pramana - Journal of Physics, vol.97, no.4, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 97 Issue: 4
  • Publication Date: 2023
  • Doi Number: 10.1007/s12043-023-02653-7
  • Journal Name: Pramana - Journal of Physics
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Keywords: 03.65.Yz, 03.67.Ac, 03.67.Lx, 03.67.−a, cost function, open quantum system, quantum classifier, Quantum learning, training
  • Istanbul Technical University Affiliated: Yes

Abstract

The expectation that quantum computation might bring performance advantages in machine learning algorithms motivates the work on the quantum versions of artificial neural networks. In this study, we analyse the learning dynamics of a quantum classifier model that works as an open quantum system which is an alternative to the standard quantum circuit model. According to the obtained results, the model can be successfully trained with a gradient descent (GD)-based algorithm. The fact that these optimisation processes have been obtained with continuous dynamics, shows promise for the development of a differentiable activation function for the classifier model.