Tsallis relative αα entropy of coherence dynamics in Grover's search algorithm

Linlin Ye, Zhaoqi Wu, Shao-Ming Fe

#2411 of 2459 · Quantum Physics
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Tournament Score
1212±36
10501750
18%
Win Rate
6
Wins
27
Losses
33
Matches
Rating
3.5/ 10
Significance
Rigor
Novelty
Clarity

Abstract

Quantum coherence plays a central role in Grover's search algorithm. We study the Tsallis relative αα entropy of coherence dynamics of the evolved state in Grover's search algorithm. We prove that the Tsallis relative αα entropy of coherence decreases with the increase of the success probability, and derive the complementarity relations between the coherence and the success probability. We show that the operator coherence of the first HnH^{\otimes n} relies on the size of the database NN, the success probability and the target states. Moreover, we illustrate the relationships between coherence and entanglement of the superposition state of targets, as well as the production and deletion of coherence in Grover iterations.

AI Impact Assessments

(3 models)

Scientific Impact Assessment

Core Contribution

This paper studies the dynamics of quantum coherence in Grover's search algorithm (GSA) using the Tsallis relative α entropy as the coherence quantifier. The main contributions are: (1) proving that Tsallis relative α entropy of coherence decreases as success probability increases, (2) deriving complementarity relations between coherence and success probability, (3) analyzing how each basic operator (O, P, H⊗n) contributes to coherence production/depletion, and (4) examining how the entanglement structure of target states affects coherence for different α regimes.

The paper extends prior work by Pan and Qiu [69], who studied similar dynamics using the l₁ norm of coherence, and Pan, Situ and Zheng [72], who derived complementarity relations via the l₁ norm. The novelty lies in using a parametric family of coherence measures (Tsallis relative α entropy) that interpolates between the relative entropy of coherence (α→1) and the skew information of coherence (α=1/2), providing a more unified and parameterized view.

Methodological Rigor

The mathematical derivations appear technically sound but largely straightforward. The proofs rely on direct substitution and algebraic manipulation of known formulas for the Grover state evolution and the Tsallis relative α entropy of coherence. The key approximation throughout is t≪N (few targets relative to database size), which is the standard regime of interest for Grover's algorithm.

Several concerns regarding rigor:

  • The complementarity relations (Theorems 1) are approximate (≃), valid only in the t≪N limit. The paper does not quantify the approximation error or discuss finite-size corrections.
  • The "Conjecture" in Section 4 about bounds on coherence for general target states remains unproven, weakening the completeness of the analysis.
  • The analysis for α∈(0,1) and α∈(1,2] is treated separately but sometimes asymmetrically, with the production/depletion analysis (Section 5) restricted to α∈(1,2].
  • The numerical examples (n=16, t=2 and n=18, t=4) are illustrative but limited. No systematic numerical validation across parameter ranges is provided.
  • Potential Impact

    The paper's impact is primarily within the niche intersection of quantum resource theory and quantum algorithm analysis. The practical implications are limited:

    1. Understanding quantum speedup: The complementarity between coherence and success probability adds to our understanding of how coherence is consumed during Grover's algorithm, but the relationship is not surprising—it essentially reformulates the known geometry of Grover's rotation in coherence-theoretic language.

    2. Algorithm design insights: The observation that coherence oscillates (depletes and produces alternately) with a turning point mirrors the known entanglement dynamics in GSA. The paper suggests this could inform new algorithm design, but provides no concrete mechanism for how.

    3. Unification across measures: The parametric nature of Tsallis relative α entropy allows recovery of results for relative entropy and skew information as special cases. This provides some economy of expression but limited new physical insight.

    4. Target state entanglement effects: The observation that entangled target states affect coherence differently depending on whether α∈(0,1) or α∈(1,2] is potentially interesting, suggesting measure-dependent behavior, but this is not explored deeply.

    Timeliness & Relevance

    The topic sits within an active research area—understanding the resource-theoretic underpinnings of quantum algorithms. However, the field has matured considerably, and incremental extensions using different coherence measures (from l₁ norm to relative entropy to Tsallis entropy) face diminishing returns in terms of new insights. The paper from 2026 follows a sequence of closely related works [69, 70, 71, 72, 73] that have largely established the main qualitative picture. The key question the community is moving toward—whether coherence (or any specific resource) is truly *necessary and sufficient* for quantum speedup—is not addressed here.

    Strengths

  • Comprehensive treatment: The paper systematically covers coherence dynamics at every stage of the Grover iteration, for multiple parameter regimes, and for various target state configurations.
  • Unifying framework: The Tsallis relative α entropy encompasses important special cases (relative entropy, skew information), allowing comparison across measures within a single formalism.
  • Clear presentation: The paper is well-organized with explicit formulas and illustrative figures.
  • Turning point analysis: The identification of a turning point where production/depletion reverses adds structural insight to coherence dynamics.
  • Limitations

  • Incremental novelty: The paper primarily applies a known coherence measure to a well-studied algorithm, following methods and frameworks established in prior work [69, 72]. The qualitative conclusions (coherence decreases with success probability, complementarity exists, operators have different effects) are already known for other measures.
  • Limited physical insight: The analysis does not reveal fundamentally new mechanisms or provide operational interpretations unique to the Tsallis setting beyond what was already known.
  • Approximation-dependent results: Nearly all results hold only asymptotically (t≪N), and the paper provides no finite-size analysis.
  • No experimental connection: There is no discussion of how these coherence dynamics could be observed experimentally or how the theoretical results could be validated on quantum hardware.
  • Unproven conjecture: The bounds on coherence for general target states remain conjectural.
  • Missing comparison with other resources: The paper mentions entanglement but does not provide quantitative resource comparisons or discuss magic state resources, which are increasingly recognized as important.
  • Overall Assessment

    This is a technically competent but incremental contribution that extends the analysis of coherence dynamics in Grover's algorithm to the Tsallis relative α entropy measure. While the mathematics is correct and the treatment systematic, the paper does not substantially advance our understanding of why Grover's algorithm works or how coherence could be leveraged for new algorithmic advantages. The main results parallel those already established with simpler coherence measures.

    Rating:3.5/ 10
    Significance 3Rigor 5.5Novelty 3Clarity 6

    Generated Apr 16, 2026

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