analiza aiqbench
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.
Quantum Query Advantage Requires Space
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)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Text integral sub licența deschisă a publicației · 212 cuvinte
Subiecte conexe

Researchers Cut Signal-Learning Measurements by Seven Million-Fold
Quantum Zeitgeist · 17 aug. 2026
Exponential quantum space advantage for Shannon entropy estimation in data streams
arXiv · 29 iul. 2026

Lattice-Based Cryptography Explained
Quantum Zeitgeist · 15 aug. 2026

Researchers Bound Quantum Key Recovery Time and Storage Costs
Quantum Zeitgeist · 2 oct. 2026