Coherence Fraction in Grover Search Algorithm

• URL: http://arxiv.org/abs/2511.06835v1
• Date: Mon, 10 Nov 2025 08:29:05 GMT
• Title: Coherence Fraction in Grover Search Algorithm
• Authors: Si-Qi Zhou, Hai Jin, Jin-Min Liang, Shao-Ming Fei, Yunlong Xiao, Zhihao Ma,
• Abstract summary: We show that entanglement and coherence do not fully explain the quantum advantage achieved by the Grover search algorithm.<n>We also explore the role of the coherence fraction in the quantum minimization algorithm.<n>These findings offer insights into the origins of quantum advantage and open pathways for the development of new quantum algorithms.
• Score: 17.812164427695926
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The question of which resources drive the advantages in quantum algorithms has long been a fundamental challenge. While entanglement and coherence are critical to many quantum algorithms, our results indicate that they do not fully explain the quantum advantage achieved by the Grover search algorithm. By introducing a generalized Grover search algorithm, we demonstrate that the success probability depends not only on the querying number of oracles but also on the coherence fraction, which quantifies the fidelity between an arbitrary initial quantum state and the equal superposition state. Additionally, we explore the role of the coherence fraction in the quantum minimization algorithm, which offers a framework for solving complex problems in quantum machine learning. These findings offer insights into the origins of quantum advantage and open pathways for the development of new quantum algorithms.

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