Quantum-walk search in motion
Himanshu Sahu, Kallol Sen
TL;DR
This work extends quantum-walk search algorithms to handle multiple marked nodes with an inherent chronological ordering by attaching label states to marked vertices. By introducing static and dynamic labeling schemes, the authors show how the Hilbert space can be augmented to simultaneously amplify targets and encode their order, enabling applications such as tracking a moving particle on a 2D lattice. The approach preserves the square-root-type scaling of QWSA while distributing probability across layers, with per-layer and total success probabilities analyzed, and it is complemented by a proposed quantum circuit implementation. The results offer a pathway toward real-time object tracking and dynamic network tasks using quantum-walk-based search, with broader implications for temporal graphs and time-resolved data processing.
Abstract
In quantum computing, the quantum walk search algorithm is designed for locating fixed marked nodes within a graph. However, when multiple marked nodes exist, the conventional search algorithm lacks the capacity to simultaneously amplify the marked nodes as well as identify the correct chronological ordering between the marked nodes, if any. To address this limitation, we explore a potential extension of the algorithm by introducing additional quantum states to label the marked nodes. The labels resolve the ambiguity of simultaneous amplification of the marked nodes. Additionally, by associating the label states with a chronological ordering, we can extend the algorithm to track a moving particle on a two-dimensional surface. Our algorithm efficiently searches for the trajectory of the particle and is supported by a proposed quantum circuit. This concept holds promise for a range of applications, from real-time object tracking to network management and routing.
