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Circuit-centric quantum classifiers

Maria Schuld, Alex Bocharov, Krysta M. Svore, and Nathan Wiebe
Phys. Rev. A 101, 032308 – Published 6 March 2020

Abstract

Variational quantum circuits are becoming tools of choice in quantum optimization and machine learning. In this paper we investigate a class of variational circuits for the purposes of supervised machine learning. We propose a circuit architecture suitable for predicting class labels of quantumly encoded data via measurements of certain observables. We observe that the required depth of a trainable classification circuit is related to the number of representative principal components of the data distribution. Quantum circuit architectures used in our design are validated by numerical simulation, which shows significant model size reduction compared to classical predictive models. Circuit-based models demonstrate good resilience to noise, which makes then robust and error tolerant.

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  • Received 15 October 2019
  • Accepted 4 February 2020

DOI:https://doi.org/10.1103/PhysRevA.101.032308

©2020 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Maria Schuld1,*, Alex Bocharov2,†, Krysta M. Svore2, and Nathan Wiebe2,3,4

  • 1University of KwaZulu-Natal, Durban 4001, South Africa
  • 2Quantum Architectures and Computations Group, Microsoft Research and Microsoft Azure, Redmond, Washington 98052, USA
  • 3Pacific Northwest National Laboratory, Richland, Washington 98382, USA
  • 4Department of Physics, University of Washington, Seattle, Washington 98195, USA

  • *schuld@ukzn.ac.za
  • alexeib@microsoft.com

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Issue

Vol. 101, Iss. 3 — March 2020

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