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dc.contributor.authorAaronson, Scott
dc.contributor.authorImpagliazzo, Russell
dc.contributor.authorMoshkovitz Aaronson, Dana Hadar
dc.date.accessioned2014-11-14T16:06:56Z
dc.date.available2014-11-14T16:06:56Z
dc.date.issued2014-06
dc.identifier.isbn978-1-4799-3626-7
dc.identifier.urihttp://hdl.handle.net/1721.1/91565
dc.description.abstractWe introduce and study a new model of interactive proofs: AM(k), or Arthur-Merlin with k non-communicating Merlins. Unlike with the better-known MIP, here the assumption is that each Merlin receives an independent random challenge from Arthur. One motivation for this model (which we explore in detail) comes from the close analogies between it and the quantum complexity class QMA(k), but the AM(k) model is also natural in its own right. We illustrate the power of multiple Merlins by giving an AM(2) protocol for 3SAT, in which the Merlins' challenges and responses consist of only n[superscript 1/2+o(1)] bits each. Our protocol has the consequence that, assuming the Exponential Time Hypothesis (ETH), any algorithm for approximating a dense CSP with a polynomial-size alphabet must take n[superscript (log n)1-o(1)] time. Algorithms nearly matching this lower bound are known, but their running times had never been previously explained. Brandao and Harrow have also recently used our 3SAT protocol to show quasipolynomial hardness for approximating the values of certain entangled games. In the other direction, we give a simple quasipolynomial-time approximation algorithm for free games, and use it to prove that, assuming the ETH, our 3SAT protocol is essentially optimal. More generally, we show that multiple Merlins never provide more than a polynomial advantage over one: that is, AM(k) = AM for all k=poly(n). The key to this result is a sub sampling theorem for free games, which follows from powerful results by Alon et al. And Barak et al. On sub sampling dense CSPs, and which says that the value of any free game can be closely approximated by the value of a logarithmic-sized random subgame.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 0844626)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Alan T. Waterman Award)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 1218547)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CCC.2014.13en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleAM with Multiple Merlinsen_US
dc.typeArticleen_US
dc.identifier.citationAaronson, Scott, Russell Impagliazzo, and Dana Moshkovitz. “AM with Multiple Merlins.” 2014 IEEE 29th Conference on Computational Complexity (CCC) (June 2014).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorAaronson, Scotten_US
dc.contributor.mitauthorMoshkovitz Aaronson, Dana Hadaren_US
dc.relation.journalProceedings of the 2014 IEEE 29th Conference on Computational Complexity (CCC)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsAaronson, Scott; Impagliazzo, Russell; Moshkovitz, Danaen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5157-8086
dc.identifier.orcidhttps://orcid.org/0000-0003-1333-4045
dspace.mitauthor.errortrue
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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