EPJ Web of Conferences (Jan 2019)

Noise Characterization: Keeping Reduction Based Per-turbed Quantum Walk Search Optimal

  • Chiang Chen-Fu,
  • Hsieh Chang-Yu

DOI
https://doi.org/10.1051/epjconf/201919800001
Journal volume & issue
Vol. 198
p. 00001

Abstract

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In a recent work by Novo et al. (Sci. Rep. 5, 13304, 2015), the invariant subspace method was applied to the study of continuous-time quantum walk (CTQW). In this work, we adopt the aforementioned method to investigate the optimality of a perturbed quantum walk search of a marked element in a noisy environment on various graphs. We formulate the necessary condition of the noise distribution in the system such that the invariant subspace method remains effective and efficient. Based on the noise, we further formulate how to set the appropriate coupling factor to preserve the optimality of the quantum walker.