量子计算机
计算机科学
实现(概率)
量子算法
量子电路
可扩展性
量子
量子信息
电子线路
量子网络
搜索算法
理论计算机科学
计算机工程
算法
数学
物理
量子力学
统计
数据库
作者
Naiqiao Pan,Tian Chen,Houjun Sun,Xiangdong Zhang
出处
期刊:Research
[American Association for the Advancement of Science]
日期:2021-01-01
卷期号:2021
被引量:27
标识
DOI:10.34133/2021/9793071
摘要
Quantum search algorithm, which can search an unsorted database quadratically faster than any known classical algorithms, has become one of the most impressive showcases of quantum computation. It has been implemented using various quantum schemes. Here, we demonstrate both theoretically and experimentally that such a fast search algorithm can also be realized using classical electric circuits. The classical circuit networks to perform such a fast search have been designed. It has been shown that the evolution of electric signals in the circuit networks is analogies of quantum particles randomly walking on graphs described by quantum theory. The searching efficiencies in our designed classical circuits are the same to the quantum schemes. Because classical circuit networks possess good scalability and stability, the present scheme is expected to avoid some problems faced by the quantum schemes. Thus, our findings are advantageous for information processing in the era of big data.
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