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This research resolves whether quantum query advantages inherently require substantial workspace by demonstrating that such benefits vanish under strict memory constraints. The authors establish an explicit Boolean function where unrestricted quantum speedups disappear once space is limited to a negligible fraction of the input size, highlighting a fundamental trade-off between computational advantage and resource usage. This finding deepens our understanding of the physical limits of quantum algorithms in scenarios with restricted qubit availability.
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Quantum Query Advantage Requires Space

arXiv2 min read

arXiv:2609.29497v1 Announce Type: new Abstract: Hao, Huang, and Liu (STOC'26) recently showed that optimal quantum query complexity may require large workspace even for short-output problems, and asked whether a quantum query advantage over classical computation can itself require space. We resolve this question by exhibiting an explicit total Boolean function with quantum query complexity $Q=\widetilde{\Theta}(M)$, and randomized query complexity $R=\Theta(M^{21/20})$, whereas, for every fixed $0<\eta<1/100$ and $S\le O(M^{1/100-\eta})$, its $S$-space quantum query complexity satisfies $Q_S=\omega(M^{21/20})$. Consequently, $$ Q<R<Q_S, $$ so the unrestricted quantum query advantage disappears under sufficiently small workspace. The separation is obtained through a one-bit filtered-parity construction and a space-sensitive quantum lower bound based on compressed-oracle capacity and a new parity-to-capacity inequality, which may be of independent interest.

Abstract:Hao, Huang, and Liu (STOC'26) recently showed that optimal quantum query complexity may require large workspace even for short-output problems, and asked whether a quantum query advantage over classical computation can itself require space. We resolve this question by exhibiting an explicit total Boolean function with quantum query complexity $Q=\widetilde{\Theta}(M)$, and randomized query complexity $R=\Theta(M^{21/20})$, whereas, for every fixed $0<\eta<1/100$ and $S\le O(M^{1/100-\eta})$, its $S$-space quantum query complexity satisfies $Q_S=\omega(M^{21/20})$. Consequently, $$ Q<R<Q_S, $$ so the unrestricted quantum query advantage disappears under sufficiently small workspace. The separation is obtained through a one-bit filtered-parity construction and a space-sensitive quantum lower bound based on compressed-oracle capacity and a new parity-to-capacity inequality, which may be of independent interest.

Quantum Physics (quant-ph); Computational Complexity (cs.CC)

arXiv:2609.29497 [quant-ph]

(or arXiv:2609.29497v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.29497 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 212 words

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