Active quantum walks: a framework for quantum walks with adiabatic quantum evolution

Nan Wu, Fangmin Song, Xiangdong Li
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Abstract

We study a new methodology for quantum walk based algorithms. Different from the passive quantum walk, in which a walker is guided by a quantum walk procedure, the new framework that we developed allows the walker to move by an adiabatic procedure of quantum evolution, as an active way. The use of this active quantum walk is helpful to develop new quantum walk based searching and optimization algorithms.
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主动量子行走:具有绝热量子演化的量子行走框架
我们研究了一种基于量子行走算法的新方法。不同于被动量子行走中行走者被量子行走过程引导,我们开发的新框架允许行走者以量子进化的绝热过程作为主动方式移动。这种主动量子行走的使用有助于开发新的基于量子行走的搜索和优化算法。
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