Cited by 185Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum Mechanics and Applications

Faster quantum-walk algorithm for the two-dimensional spatial search

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Tulsi, Avatar·2008·Physical Review A

Abstract

We consider the problem of finding a desired item out of $N$ items arranged on the sites of a two-dimensional lattice of size $\sqrt{N}\ifmmode\times\else\texttimes\fi{}\sqrt{N}$. The previous quantum-walk based algorithms take $O(\sqrt{N}\text{ }\text{ln}\text{ }N)$ steps to solve this problem, and it is an open question whether the performance can be improved. We present an algorithm which solves the problem in $O(\sqrt{N\text{ }\text{ln}\text{ }N})$ steps, thus giving an $O(\sqrt{\text{ln}\text{ }N})$ improvement over the known algorithms. The improvement is achieved by controlling the quantum walk on the lattice using an ancilla qubit.

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Crossref · 10.1103/physreva.78.012310

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  • Quantum search algorithms based on quantum walks overcome their classical counterparts solely when the spatial dimension of the lattice is equal or greater than two.

    “As an example, quantum search algorithms based on QWs overcome their classical counterparts solely when the spatial dimension of the lattice is equal or greater than two 31 .”

    From Quantum walks of two correlated photons in a 2D synthetic lattice (2022) · cites this paper as [31]

    The Introduction (p. 1) and Discussion (p. 5) show that the paper’s quantum-walk algorithm speeds up two-dimensional spatial search; the Introduction also says it applies in higher dimensions. But our copy does not establish the claim’s exclusive threshold: it does not show that quantum-walk search fails to outperform classical search in one dimension. (LLM, conf=0.84)

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Research works printed but not linked: 2

  1. [8]C. Bennett, E. Bernstein, G. Brassard, and U. Vazirani, SIAM Journal on Computing, 26 , 1510 (1997). e-print quant-ph/9701001. · arXiv
  2. [9]G. Brassard, P. Hoyer, M. Mosca, and A. Tapp, AMS Contemporary Mathematics, 305 , pp. 53-74 (2002). eprint quant-ph/0005055. · arXiv

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Authors
Tulsi, A.
Affiliations
Indian Institute of Science Bangalore (IN)
Corresponding author
Tulsi, Avatar
Venue
Physical Review A
Published
2008-07-09
Volume
78
Issue
1
ISSN
  • 0556-2791 (ISSN-L)
  • 1050-2947
  • 1094-1622
OpenAlex
W1980458533
Cited by
185
References
3
Citations by year
2026: 4 · 2025: 9 · 2024: 7 · 2023: 10 · 2022: 9 · 2021: 12 · 2020: 8 · 2019: 11 · 2018: 12 · 2017: 8 · 2016: 12 · 2015: 19 · 2014: 3 · 2013: 12 · 2012: 11
FWCI
19.56
Type
journal article
Language
en
Open access
Locations
  • Physical Review A (publishedVersion)
  • NOT FOUND REPOSITORY (Indian Institute of Science Bangalore) (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
Keywords
quantum walks, spatial search, two-dimensional lattice, search algorithms, ancilla qubits, Grover's algorithm

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