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This paper advances theoretical quantum communication complexity by refining Gavinsky's framework to demonstrate significant exponential separations between quantum and randomized protocols for total functions. The results establish that polylogarithmic quantum messages suffice to outperform randomized counterparts requiring $\tilde\Omega(\sqrt n)$ or near-linear resources, marking a notable step in understanding the fundamental limits of quantum information processing.
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Improved Separations between Quantum and Classical Communication Complexity of Total Functions

arXiv1 min read

arXiv:2609.16726v1 Announce Type: new Abstract: We refine Gavinsky's framework (arXiv:2608.18784) for exponential separations between quantum and randomized communication complexity of total functions and obtain larger separations: polylogarithmic quantum communication versus $\tilde\Omega(\sqrt n)$ randomized communication with two quantum messages, and versus $\Omega(n^{1-\varepsilon})$ for every fixed $0<\varepsilon<1$ with more quantum messages.

Abstract:We refine Gavinsky's framework (arXiv:2608.18784) for exponential separations between quantum and randomized communication complexity of total functions and obtain larger separations: polylogarithmic quantum communication versus $\tilde\Omega(\sqrt n)$ randomized communication with two quantum messages, and versus $\Omega(n^{1-\varepsilon})$ for every fixed $0<\varepsilon<1$ with more quantum messages.

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

arXiv:2609.16726 [quant-ph]

(or arXiv:2609.16726v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.16726 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 141 words

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