Shallow quantum circuits for efficient preparation of Slater determinants and correlated states on a quantum computer

Chong Hian Chee, Daniel Leykam, Adrian M. Mak, and Dimitris G. Angelakis
Phys. Rev. A 108, 022416 – Published 18 August 2023

Abstract

Fermionic Ansatz state preparation is a critical subroutine in many quantum algorithms such as the variational quantum eigensolver for quantum chemistry and condensed-matter applications. The shallowest circuit depth needed to prepare Slater determinants and correlated states to date scales at least linearly with respect to the system size N. Inspired by data-loading circuits developed for quantum machine learning, we propose an alternate paradigm that provides shallower, yet scalable, O(dlog22N) two-qubit gate-depth circuits to prepare such states with d fermions, offering a subexponential reduction in N over existing approaches in second quantization, enabling high-accuracy studies of dO(N/log22N) fermionic systems with larger basis sets on near-term quantum devices.

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  • Received 25 January 2023
  • Revised 23 May 2023
  • Accepted 27 July 2023

DOI:https://doi.org/10.1103/PhysRevA.108.022416

©2023 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Chong Hian Chee1,*, Daniel Leykam1, Adrian M. Mak2, and Dimitris G. Angelakis1,3,4,†

  • 1Centre for Quantum Technologies, National University of Singapore, 3 Science Drive 2, Singapore 117543
  • 2Institute of High Performance Computing, Agency for Science, Technology & Research (A*STAR), 1 Fusionopolis Way, 16-16 Connexis, Singapore 138632
  • 3School of Electrical and Computer Engineering, Technical University of Crete, 73100 Chania, Greece
  • 4AngelQ Quantum Computing, 531A Upper Cross Street, 04-95 Hong Lim Complex, Singapore 051531

  • *ch.chee@u.nus.edu
  • dimitris.angelakis@gmail.com

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Issue

Vol. 108, Iss. 2 — August 2023

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