Cited by 51Quantum Computing Algorithms and ArchitectureQuantum Mechanics and ApplicationsQuantum Information and Cryptography

From Discrete Time Quantum Walk to Continuous Time Quantum Walk in Limit Distribution

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Shikano, Yutaka·2013·Journal of Computational and Theoretical Nanoscience

Abstract

The discrete time quantum walk defined as a quantum-mechanical analogue of the discrete time random walk have recently been attracted from various and interdisciplinary fields. In this review, the weak limit theorem, that is, the asymptotic behavior, of the one-dimensional discrete time quantum walk is analytically shown. From the limit distribution of the discrete time quantum walk, the discrete time quantum walk can be taken as the quantum dynamical simulator of some physical systems.

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Crossref · 10.1166/jctn.2013.3097

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  • Convergence of the Dirac QW has been proved in (1+1)-dimensions in [13, 14, 16].

    “It has been proved in + (1 1)-dimensions in [13, 14, 16].”

    From The Dirac equation as a quantum walk: higher dimensions, observational convergence (2014) · cites this paper as [16]

    Section 4 (p. 10) derives dynamics of a discrete-time quantum walk that correspond to the Dirac equation in 1+1 dimensions, and Section 6 (p. 18) describes this as asymptotic behavior. The paper does not explicitly establish the claimed convergence of a Dirac quantum walk; its stated weak-convergence results concern quantum-walk limit distributions. (LLM, conf=0.80)

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Research works printed but not linked: 18

  1. [1][1] G. Abal, R. Donangelo, and H. Fort, in Annals of the 1st Workshop on Quantum Computation and Information , p. 189, UCPel, 9-11 October. 2006, Pelotas, RS, Brazil, arXiv:0709.3279. - · arXiv
  2. [3][3] A. Ahlbrecht, A. Alberti, D. Meschede, V. B. Scholz, A. H. Werner, and R. F. Werner, arXiv:1105.1051. - · arXiv
  3. [4][4] A. Ambainis, E. Bach, A. Nayak, A. Vishwanath, and J. Watrous, in Proceedings of the 33rd Annual ACM Symposium on Theory of Computing (STOC'01) (ACM Press, New York, 2001), p. 37. -
  4. [5][5] A. Ambainis, SIAM Journal on Computing 37 , 210 (2007). -
  5. [8][8] H. Buhrman and R. Spalek, in Proc. 17th ACM-SIAM Symposium on Discrete Algorithms (Society for Industrial and Applied Mathematics, Philadelphia, 2006), p. 880. -
  6. [9][9] C. M. Chandrashekar, arXiv:quant-ph/0609113. - · arXiv
  7. [21][21] P.-G. D. Gennes, Scaling Concepts in Polymer Physics (Cornell University Press, New York, 1979). -
  8. [25][25] S. P. Gudder, Quantum Probability (Academic Press Inc., San Diego, 1988). -
  9. [26][26] T. Hasebe, arXiv:1009.1505. - · arXiv
  10. [35][35] T. Kitagawa, to be published from Quant. Inf. Proc., arXiv:1112.1882. - · arXiv
  11. [38][38] N. Konno, Quantum Inf. Proc. 1 , 345 (2002). -
  12. [41][41] N. Konno, in Quantum Potential Theory , Lecture Notes in Mathematics Vol. 1954, edited by U. Franz and M. Schurmann (Springer-Verlag, Heidelberg, 2008), p.309. -
  13. [43][43] N. Konno, Quantum Inf. Proc. 8 , 387 (2009). -
  14. [44][44] N. Konno, Quantum Inf. Proc. 9 , 405 (2010). -
  15. [53][53] F. Magniez, M. Santha, and M. Szegedy, SIAM Journal of Computing 37 , 413 (2007). -
  16. [61][61] P. Rev´ esz, Random walk in random and non-random environments (World Scientific, Singapore, 1990). -
  17. [71][71] Y. Shikano and H. Katsura, AIP Conf. Proc. 1363 , 151 (2011). -
  18. [80][80] S. E. Venegas-Andraca, to be published from Quan. Inf. Proc., arXiv:1201.4780. - · arXiv

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Authors
Shikano, Y.
Affiliations
Tokyo Institute of Technology (JP)
Corresponding author
Shikano, Yutaka
Venue
Journal of Computational and Theoretical Nanoscience
Published
2013-07-01
Volume
10
Issue
7
Pages
1558-1570
ISSN
  • 1546-1955 (ISSN-L)
  • 1546-1963
OpenAlex
W1988534532
Cited by
51
References
0
Citations by year
2026: 3 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 5 · 2019: 7 · 2018: 2 · 2017: 4 · 2016: 6 · 2015: 5 · 2014: 7 · 2013: 2 · 2012: 1
FWCI
7.37
Type
journal article
Language
en
Open access
Locations
  • Journal of Computational and Theoretical Nanoscience (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University) (cc-by)
Funders
  • Massachusetts Institute of Technology
  • Japan Society for the Promotion of Science
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
Keywords
discrete-time quantum walks, continuous-time quantum walks, weak limit theorems, asymptotic distribution, asymptotic behavior, one-dimensional quantum walk

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