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PreprintCC BY 4.0arXiv

Hardness of Pathfinding in a Welded Tree

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 Ω(2n/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.

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BibTeX
@misc{miloschewsky2026hardness,
  title = {{Hardness of Pathfinding in a Welded Tree}},
  author = {David Miloschewsky and Supartha Podder},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.20651},
  eprint = {2609.20651},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.20651},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Hardness of Pathfinding in a Welded Tree
AU  - David Miloschewsky
AU  - Supartha Podder
PY  - 2026
DA  - 2026/09/17
PB  - arXiv
DO  - 10.48550/arxiv.2609.20651
UR  - https://arxiv.org/abs/2609.20651
AB  - 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 Ω(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.
ER  -