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This study establishes a fundamental limit on quantum advantage for pathfinding in welded trees, proving that no quantum query algorithm can efficiently solve the problem despite quantum walks offering exponential speedups for vertex discovery. By deriving an exponential lower bound of $\Omega(2^{n/24})$, the research clarifies the specific boundaries where classical and quantum approaches converge for this class of graph traversal problems.
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Hardness of Pathfinding in a Welded Tree

arXiv2 min read

arXiv:2609.20651v1 Announce Type: new Abstract: Starting from the entrance of a welded tree, a quantum walk algorithm can find its exit vertex exponentially faster than any classical algorithm. However, it has been an open question whether any quantum algorithm is able to efficiently find a path from the entrance to the exit. We answer this by proving an exponential quantum query lower bound for finding such path. Specifically, for trees of height $n$, any quantum query algorithm requires at least $\Omega(2^{n/24})$ queries in order to succeed with constant probability. Our proof uses the compressed permutation oracle technique in order to construct databases which track the graph information an algorithm has learned and forgotten, and show that no efficient quantum algorithm can build an entrance-to-exit path in these records.

Abstract:Starting from the entrance of a welded tree, a quantum walk algorithm can find its exit vertex exponentially faster than any classical algorithm. However, it has been an open question whether any quantum algorithm is able to efficiently find a path from the entrance to the exit. We answer this by proving an exponential quantum query lower bound for finding such path. Specifically, for trees of height $n$, any quantum query algorithm requires at least $\Omega(2^{n/24})$ queries in order to succeed with constant probability. Our proof uses the compressed permutation oracle technique in order to construct databases which track the graph information an algorithm has learned and forgotten, and show that no efficient quantum algorithm can build an entrance-to-exit path in these records.

Quantum Physics (quant-ph); Computational Complexity (cs.CC)

arXiv:2609.20651 [quant-ph]

(or arXiv:2609.20651v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.20651 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 220 words

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