学术进展

Static and dynamic coherence fraction in the Bernstein-Vazirani algorithm

论文作者:

Si-Qi Zhou, Jin-Min Liang, Jiayin Peng, Zhihua Chen, Shao-Ming Fei, Zhihao Ma

论文题目:

Static and dynamic coherence fraction in the Bernstein-Vazirani algorithm

发表期刊:

Advanced Quantum Technologies
 (2025) 2400709

摘要:

Quantum entanglement and coherence are crucial resources in quantum
information theory. In some scenarios, however, it is not necessary to directly
estimate entanglement or coherence measures to quantify the capabilities of a
state in quantum information processing. Instead, fully entangled fraction and
coherence fraction are two alternatives for entanglement and coherence in
specific quantum tasks. Here, a link is established between the coherence
fraction and the Bernstein–Vazirani algorithm, which has several potential
applications including cryptography and database search. It is showed that
the success probability of the generalized Bernstein–Vazirani algorithm
depends only on the coherence fraction of the initial state rather than its
entanglement or coherence. Moreover, the coherence fraction dynamics are
discussed and a relation is established between the operator’s coherence
fraction and the algorithm’s success probability. These findings highlight how
quantum coherence fraction influences the efficiency of quantum algorithms.
第12题_看新晴@微信_20250409_微信图片_20250409080754_1.png