Quantum spatial search with multiple excitations
Dylan Lewis, Leonardo Banchi, Sougato Bose

TL;DR
This paper extends quantum spatial search to multiple marked vertices, demonstrating that a continuous-time quantum walk can efficiently identify multiple marked sites with high fidelity, even as the state space grows significantly.
Contribution
It introduces a quantum walk approach for multiple marked vertices, showing efficient detection in the $k$-excitation subspace with practical implementation considerations.
Findings
Achieves $O(\sqrt{n})$ search time for multiple marked vertices.
Demonstrates implementation feasibility with $1/r^\alpha$ interactions.
Maintains high fidelity despite exponential growth of state space.
Abstract
Spatial search is the problem of finding a marked vertex in a graph. A continuous-time quantum walk in the single-excitation subspace of an spin system solves the problem of spatial search by finding the marked vertex in time. Here, we investigate a natural extension of the spatial search problem, marking multiple vertices of a graph, which are still marked with local fields. We prove that a continuous-time quantum walk in the -excitation subspace of spins can determine the binary string of marked vertices with an asymptotic fidelity in time , despite the size of the state space growing as . Numerically, we show that this algorithm can be implemented with interactions that decay as , where is the distance between spins, and an that is readily available in current ion trap systems.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing · Optimization and Search Problems
