The compressed oracle technique is captured by the multiplicative adversary method through the new multiplicative ladder adversary method, up to a factor of 6.
The Quantum Query Complexity of Algebraic Properties
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We present quantum query complexity bounds for testing algebraic properties. For a set S and a binary operation on S, we consider the decision problem whether $S$ is a semigroup or has an identity element. If S is a monoid, we want to decide whether S is a group. We present quantum algorithms for these problems that improve the best known classical complexity bounds. In particular, we give the first application of the new quantum random walk technique by Magniez, Nayak, Roland, and Santha that improves the previous bounds by Ambainis and Szegedy. We also present several lower bounds for testing algebraic properties.
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quant-ph 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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The Compressed Oracle is a Worthy (Multiplicative) Adversary
The compressed oracle technique is captured by the multiplicative adversary method through the new multiplicative ladder adversary method, up to a factor of 6.