Tight Bounds for the Randomized and Quantum Communication Complexities of Equality with Small Error

• URL: http://arxiv.org/abs/2107.11806v2
• Date: Wed, 18 Oct 2023 08:19:48 GMT
• Title: Tight Bounds for the Randomized and Quantum Communication Complexities of Equality with Small Error
• Authors: Olivier Lalonde, Nikhil S. Mande, Ronald de Wolf
• Abstract summary: We investigate the randomized and quantum communication complexities of the Equality function with small error probability $epsilon$. We show that any $log(n/epsilon)-loglog(sqrtn/epsilon)+3$ protocol communicates at least $log(n/epsilon)-log(sqrtn/epsilon)-O(1)$ qubits.
• Score: 1.6522364074260811
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We investigate the randomized and quantum communication complexities of the well-studied Equality function with small error probability $\epsilon$, getting optimal constant factors in the leading terms in a number of different models. In the randomized model, 1) we give a general technique to convert public-coin protocols to private-coin protocols by incurring a small multiplicative error, at a small additive cost. This is an improvement over Newman's theorem [Inf. Proc. Let.'91] in the dependence on the error parameter. 2) Using this we obtain a $(\log(n/\epsilon^2)+4)$-cost private-coin communication protocol that computes the $n$-bit Equality function, to error $\epsilon$. This improves upon the $\log(n/\epsilon^3)+O(1)$ upper bound implied by Newman's theorem, and matches the best known lower bound, which follows from Alon [Comb. Prob. Comput.'09], up to an additive $\log\log(1/\epsilon)+O(1)$. In the quantum model, 1) we exhibit a one-way protocol of cost $\log(n/\epsilon)+4$, that uses only pure states and computes the $n$-bit Equality function to error $\epsilon$. This bound was implicitly already shown by Nayak [PhD thesis'99]. 2) We show that any $\epsilon$-error one-way protocol for $n$-bit Equality that uses only pure states communicates at least $\log(n/\epsilon)-\log\log(1/\epsilon)-O(1)$ qubits. 3) We exhibit a one-way protocol of cost $\log(\sqrt{n}/\epsilon)+3$, that uses mixed states and computes the $n$-bit Equality function to error $\epsilon$. This is also tight up to an additive $\log\log(1/\epsilon)+O(1)$, which follows from Alon's result. 4) We study the number of EPR pairs required to be shared in an entanglement-assisted one-way protocol. Our upper bounds also yield upper bounds on the approximate rank and related measures of the Identity matrix.

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