Generalized Grover’s Algorithm for Multiple Phase Inversion States

Tim Byrnes, Gary Forster, and Louis Tessler
Phys. Rev. Lett. 120, 060501 – Published 7 February 2018
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Abstract

Grover’s algorithm is a quantum search algorithm that proceeds by repeated applications of the Grover operator and the Oracle until the state evolves to one of the target states. In the standard version of the algorithm, the Grover operator inverts the sign on only one state. Here we provide an exact solution to the problem of performing Grover’s search where the Grover operator inverts the sign on N states. We show the underlying structure in terms of the eigenspectrum of the generalized Hamiltonian, and derive an appropriate initial state to perform the Grover evolution. This allows us to use the quantum phase estimation algorithm to solve the search problem in this generalized case, completely bypassing the Grover algorithm altogether. We obtain a time complexity of this case of D/Mα, where D is the search space dimension, M is the number of target states, and α1, which is close to the optimal scaling.

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  • Received 1 July 2016
  • Revised 13 November 2017

DOI:https://doi.org/10.1103/PhysRevLett.120.060501

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Tim Byrnes1,2,3,4,5, Gary Forster6,4, and Louis Tessler2,7

  • 1State Key Laboratory of Precision Spectroscopy, School of Physical and Material Sciences, East China Normal University, Shanghai 200062, China
  • 2New York University Shanghai, 1555 Century Ave, Pudong, Shanghai 200122, China
  • 3NYU-ECNU Institute of Physics at NYU Shanghai, 3663 Zhongshan Road North, Shanghai 200062, China
  • 4National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan
  • 5Department of Physics, New York University, New York, New York 10003, USA
  • 6Department of Physics, University of Bath, Bath BA2 7AY, United Kingdom
  • 7CEMS, RIKEN, Wako-shi, Saitama 351-0198, Japan

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Issue

Vol. 120, Iss. 6 — 9 February 2018

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