Interaction in Quantum Communication and the Complexity of Set Disjointness

10/2001; DOI: 10.1145/380752.380786
Source: DBLP

ABSTRACT One of the most intriguing facts about communication using quantum states is that these states cannot be used to transmit more classical bits than the number of qubits used, yet in some scenarios there are ways of conveying information with much fewer, even exponentially fewer, qubits than possible classically [1], [2], [3]. Moreover, some of these methods have a very simple structure|they involve only few message exchanges between the communicating parties. We consider the question as to whether every classical protocol may be transformed to a simpler" quantum protocol|one that has similar eciency, but uses fewer message exchanges.

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    ABSTRACT: In a breakthrough result, Razborov (2003) gave optimal lower bounds on the quantum communication complexity Q 1/3(f) of every function f(x,y) = D(|x ^y|), where D : {0,1,...,n} ! {0,1}. Namely, he showed that Q 1/3(f) =
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    ABSTRACT: We consider a fundamental problem in data structures, static predecessor searching: Given a subset S of size n from the universe [m], store S so that queries of the form ''What is the predecessor of x in S?'' can be answered efficiently. We study this problem in the cell probe model introduced by Yao [A.C.-C. Yao, Should tables be sorted, J. Assoc. Comput. Mach. 28 (3) (1981) 615-628]. Recently, Beame and Fich [P. Beame, F. Fich, Optimal bounds for the predecessor problem and related problems, J. Comput. System Sci. 65 (1) (2002) 38-72] obtained optimal bounds as functions of either m or n only on the number of probes needed by any deterministic query scheme if the associated storage scheme uses only n^O^(^1^) cells of word size (logm)^O^(^1^) bits. We give a new lower bound proof for this problem that matches the bounds of Beame and Fich. Our lower bound proof has the following advantages: it works for randomised query schemes too, while Beame and Fich's proof works for deterministic query schemes only. In addition, it is simpler than Beame and Fich's proof. In fact, our lower bound for predecessor searching extends to the 'quantum address-only' query schemes that we define in this paper. In these query schemes, quantum parallelism is allowed only over the 'address lines' of the queries. These query schemes subsume classical randomised query schemes, and include many quantum query algorithms like Grover's algorithm [L. Grover, A fast quantum mechanical algorithm for database search, in: Proceedings of the 28th Annual ACM Symposium on Theory of Computing, 1996, pp. 212-219]. We prove our lower bound using the round elimination approach of Miltersen, Nisan, Safra and Wigderson [P. Bro Miltersen, Noam Nisan, S. Safra, A. Wigderson, On data structures and asymmetric communication complexity, J. Comput. System Sci. 57 (1) (1998) 37-49]. Using tools from information theory, we prove a strong round elimination lemma for communication complexity that enables us to obtain a tight lower bound for the predecessor problem. Our strong round elimination lemma also extends to quantum communication complexity. We also use our round elimination lemma to obtain a rounds versus communication tradeoff for the 'greater-than' problem, improving on the tradeoff in [P. Bro Miltersen, Noam Nisan, S. Safra, A. Wigderson, On data structures and asymmetric communication complexity, J. Comput. System Sci. 57 (1) (1998) 37-49]. We believe that our round elimination lemma is of independent interest and should have other applications.
    Journal of Computer and System Sciences 05/2008; 74(3):364-385. · 1.00 Impact Factor

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