
We study the set disjointness problem in the most powerful model of bounded-error communication, the k -party randomized number-on-the-forehead model. We show that set disjointness requires Ω(√n/2 k k ) bits of communication, where n is the size of the universe. Our lower bound generalizes to quantum communication, where it is essentially optimal. Proving this bound was a longstanding open problem even in restricted settings, such as one-way classical protocols with k =4 parties [Wigderson 1997]. The proof contributes a novel technique for lower bounds on multiparty communication, based on directional derivatives of protocols over the reals.
quantum communication complexity, directional derivatives, Analysis of algorithms and problem complexity, set disjointness problem, polynomial approximation, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Quantum algorithms and complexity in the theory of computing, multiparty communication complexity
quantum communication complexity, directional derivatives, Analysis of algorithms and problem complexity, set disjointness problem, polynomial approximation, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Quantum algorithms and complexity in the theory of computing, multiparty communication complexity
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