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Quantum Algorithms
The power of quantum circuits in sampling
arXiv
Authors: Guy Blanc, Caleb Koch, Jane Lange, Carmen Strassle, Li-Yang Tan
Year
2025
Paper ID
51866
Status
Preprint
Abstract Read
~2 min
Abstract Words
112
Citations
N/A
Abstract
We give new evidence that quantum circuits are substantially more powerful than classical circuits. We show, relative to a random oracle, that polynomial-size quantum circuits can sample distributions that subexponential-size classical circuits cannot approximate even to TV distance 1-o(1). Prior work of Aaronson and Arkhipov (2011) showed such a separation for the case of exact sampling (i.e. TV distance 0), but separations for approximate sampling were only known for uniform algorithms. A key ingredient in our proof is a new hardness amplification lemma for the classical query complexity of the Yamakawa-Zhandry (2022) search problem. We show that the probability that any family of query algorithms collectively finds k distinct solutions decays exponentially in k.
Why This Paper Matters
- It adds a 2025 reference point for readers tracking recent quantum research.
- We give new evidence that quantum circuits are substantially more powerful than classical circuits.
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