Title :
On Arthur Merlin Games in Communication Complexity
Author_Institution :
Centre for Quantum Technol. (NUS), Nanyang Technol. Univ., Singapore, Singapore
Abstract :
We show several results related to interactive proof modes of communication complexity. First we show lower bounds for the QMA-communication complexity of the functions Inner Product and Disjointness. We describe a general method to prove lower bounds for QMA-communication complexity, and show how one can ´transfer´ hardness under an analogous measure in the query complexity model to the communication model using Sherstov´s pattern matrix method.Combining a result by Vereshchagin and the pattern matrix method we find a partial function with AM-communication complexity O(log n), PP-communication complexity Ω(n1/3), and QMA-communication complexity Ω(n1/6). Hence in the world of communication complexity noninteractive quantum proof systems are not able to efficiently simulate co-nondeterminism or interaction. These results imply that the related questions in Turing machine complexity theory cannot be resolved by ´algebrizing´ techniques. Finally we show that in MA-protocols there is an exponential gap between one-way protocols and two-way protocols for a partial function (this refers to the interaction between Alice and Bob). This is in contrast to nondeterministic, AM-, and QMA-protocols, where one-way communication is essentially optimal.
Keywords :
Turing machines; communication complexity; computer games; matrix algebra; protocols; AM-communication complexity; AM-protocols; Arthur Merlin games; MA-protocols; PP-communication complexity; QMA-communication complexity; Sherstov pattern matrix method; communication model; function inner product; noninteractive quantum proof system; one-way protocols; query complexity model; turing machine complexity theory; two-way protocols; Boolean functions; Boosting; Complexity theory; Games; Polynomials; Protocols; Turing machines; Arthur Merlin games; communication complexity; quantum proofs;
Conference_Titel :
Computational Complexity (CCC), 2011 IEEE 26th Annual Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4577-0179-5
Electronic_ISBN :
1093-0159
DOI :
10.1109/CCC.2011.33