Hardware-Efficient Entangled Measurements for Variational Quantum Algorithms

Francisco Escudero, David Fernández-Fernández, Gabriel Jaumà, Guillermo F. Peñas, and Luciano Pereira
Phys. Rev. Applied 20, 034044 – Published 20 September 2023

Abstract

Variational algorithms have received significant attention in recent years due to their potential to solve practical problems using noisy intermediate-scale quantum (NISQ) devices. A fundamental step of these algorithms is the evaluation of the expected value of Hamiltonians, and hence efficient schemes to perform this task are required. The standard approach employs local measurements of Pauli operators and requires a large number of circuits. An alternative is to use entangled measurements, which might introduce additional gates between physically disconnected qubits that harm the performance. To solve this problem, we propose hardware-efficient entangled measurements (HEEMs), that is, measurements that permit only entanglement between physically connected qubits. We show that this strategy enhances the evaluation of molecular Hamiltonians in NISQ devices by reducing the required circuits without increasing their depth. We provide quantitative metrics of how this approach offers better results than local measurements and arbitrarily entangled measurements. We estimate the ground-state energy of the H2O molecule with classical simulators and quantum hardware using the variational quantum eigensolver with HEEM.

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  • Received 24 October 2022
  • Accepted 25 July 2023

DOI:https://doi.org/10.1103/PhysRevApplied.20.034044

© 2023 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Francisco Escudero1,2, David Fernández-Fernández1,3, Gabriel Jaumà1, Guillermo F. Peñas1, and Luciano Pereira1,*

  • 1Instituto de Física Fundamental, IFF-CSIC, Calle Serrano 113b, Madrid 28006, Spain
  • 2CWI & QuSoft, Science Park 123, Amsterdam 1098 XG, Netherlands
  • 3Instituto de Ciencia de Materiales de Madrid, ICMM-CSIC, Madrid 28049, Spain

  • *luciano.ivan@iff.csic.es

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Vol. 20, Iss. 3 — September 2023

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