Symmetries, graph properties, and quantum speedups
- URL: http://arxiv.org/abs/2006.12760v1
- Date: Tue, 23 Jun 2020 05:00:15 GMT
- Title: Symmetries, graph properties, and quantum speedups
- Authors: Shalev Ben-David, Andrew M. Childs, Andr\'as Gily\'en, William
Kretschmer, Supartha Podder, Daochen Wang
- Abstract summary: We show that hypergraph symmetries in the adjacency matrix model allow at most a separation between randomized and quantum query complexities.
We also show that, remarkably, permutation groups constructed out of these symmetries are essentially the only permutation groups that prevent super-polynomial quantum speedups.
- Score: 3.4253416336476246
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Aaronson and Ambainis (2009) and Chailloux (2018) showed that fully symmetric
(partial) functions do not admit exponential quantum query speedups. This
raises a natural question: how symmetric must a function be before it cannot
exhibit a large quantum speedup?
In this work, we prove that hypergraph symmetries in the adjacency matrix
model allow at most a polynomial separation between randomized and quantum
query complexities. We also show that, remarkably, permutation groups
constructed out of these symmetries are essentially the only permutation groups
that prevent super-polynomial quantum speedups. We prove this by fully
characterizing the primitive permutation groups that allow super-polynomial
quantum speedups.
In contrast, in the adjacency list model for bounded-degree graphs (where
graph symmetry is manifested differently), we exhibit a property testing
problem that shows an exponential quantum speedup. These results resolve open
questions posed by Ambainis, Childs, and Liu (2010) and Montanaro and de Wolf
(2013).
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