aiqbench analysis
This research establishes tight bounds for the quantum query complexity of semigroup product problems, demonstrating how algebraic structures like commutativity significantly reduce computational requirements compared to general cases. By characterizing complexity through parameters such as product breadth and aperiodicity index, the study advances theoretical understanding of quantum algorithms for specific algebraic classes. These findings contribute directly to the foundational theory of quantum computing rather than addressing near-term applications or policy issues.
The quantum query complexity of the semigroup product problem
arXiv:2609.39974v1 Announce Type: new Abstract: We study the quantum query complexity of computing a semigroup product $x_1\cdots x_n$, when one query reveals one input element and the multiplication table is given. For a finite aperiodic semigroup of size $N-1$, the argument of Aaronson, Grier, and Schaeffer gives an upper bound of $\sqrt n\,(N\log(nN+2))^{O(N)}$ queries. To obtain query bounds that reflect algebraic structure, we study the product breadth $\beta$: the smallest bound such that every input word has a subsequence of at most $\beta$ letters with the same product. For nontrivial finite commutative aperiodic monoids, the bounded-error quantum query complexity is $\Theta(\min\{n,\sqrt{n\beta}\})$, and is thus characterized by product breadth. We further show that if such a monoid $M$ has aperiodicity index $k$ (the least positive integer satisfying $x^k=x^{k+1}$ for every $x\in M$), then $\beta=O(k\log(|M|+1)\log\log(|M|+2))$. For monoids with a stable partial order in which the identity is the minimum element, we prove that the bounded-error quantum query complexity is at most $\sqrt{n+1}((\beta+2)\log(n+2))^{O(\log(\beta+2))}$. For arbitrary finite aperiodic semigroups of order $N-1$, we improve the bound of Aaronson, Grier, and Schaeffer, obtaining a bounded-error quantum query complexity of at most \[ \min\left\{n,\sqrt n\, \log^{O((N\log(N+2))^{1/3})}(n+2)\right\}. \] The dependence on semigroup size is nearly tight: the bounded-depth Dyck lower bound of Ambainis et al. yields aperiodic monoids requiring $\sqrt n\,2^{\Omega(N^{1/3})}$ quantum queries in the relevant parameter range.
Abstract:We study the quantum query complexity of computing a semigroup product $x_1\cdots x_n$, when one query reveals one input element and the multiplication table is given. For a finite aperiodic semigroup of size $N-1$, the argument of Aaronson, Grier, and Schaeffer gives an upper bound of $\sqrt n\,(N\log(nN+2))^{O(N)}$ queries. To obtain query bounds that reflect algebraic structure, we study the product breadth $\beta$: the smallest bound such that every input word has a subsequence of at most $\beta$ letters with the same product. For nontrivial finite commutative aperiodic monoids, the bounded-error quantum query complexity is $\Theta(\min\{n,\sqrt{n\beta}\})$, and is thus characterized by product breadth. We further show that if such a monoid $M$ has aperiodicity index $k$ (the least positive integer satisfying $x^k=x^{k+1}$ for every $x\in M$), then $\beta=O(k\log(|M|+1)\log\log(|M|+2))$. For monoids with a stable partial order in which the identity is the minimum element, we prove that the bounded-error quantum query complexity is at most $\sqrt{n+1}((\beta+2)\log(n+2))^{O(\log(\beta+2))}$. For arbitrary finite aperiodic semigroups of order $N-1$, we improve the bound of Aaronson, Grier, and Schaeffer, obtaining a bounded-error quantum query complexity of at most \[ \min\left\{n,\sqrt n\, \log^{O((N\log(N+2))^{1/3})}(n+2)\right\}. \] The dependence on semigroup size is nearly tight: the bounded-depth Dyck lower bound of Ambainis et al. yields aperiodic monoids requiring $\sqrt n\,2^{\Omega(N^{1/3})}$ quantum queries in the relevant parameter range.
arXiv:2609.39974 [quant-ph]
(or arXiv:2609.39974v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.39974 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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