DocumentCode :
2048757
Title :
The Power of Unentanglement
Author :
Aaronson, Scott ; Beigi, Salman ; Drucker, Andrew ; Fefferman, Bill ; Shor, Peter
Author_Institution :
MIT, Cambridge, MA
fYear :
2008
fDate :
23-26 June 2008
Firstpage :
223
Lastpage :
236
Abstract :
The class QMA(k), introduced by Kobayashi et al., consists of all languages that can be verified using k unentangled quantum proofs. Many of the simplest questions about this class have remained embarrassingly open: for example, can we give any evidence that k quantum proofs are more powerful than one? Can we show any upper bound on QMA(k), besides the trivial NEXP? Does QMA(k)=QMA(2) for kges2? Can QMA(k) protocols be amplified to exponentially small error? In this paper, we make progress on all of the above questions. *We give a protocol by which a verifier can be convinced that a 3SAT formula of size n is satisfiable, with constant soundness, given O tilde(radicn) unentangled quantum witnesses with O(log n) qubits each. Our protocol relies on Dinur\´s version of the PCP Theorem and is inherently non-relativizing. *We show that assuming the famous Additivity Conjecture from quantum information theory, any QMA(2) protocol can be amplified to exponentially small error, and QMA(k)=QMA(2) for all kges=2. *We give evidence that QMA(2) sube PSPACE, by showing that this would follow from "strong amplification" of QMA(2) protocols. *We prove the nonexistence of "perfect disentanglers" for simulating multiple Merlins with one.
Keywords :
computability; computational complexity; protocols; quantum computing; quantum entanglement; 3SAT formula; PCP theorem; QMA protocols; additivity conjecture; computational complexity; quantum computing; quantum information theory; unentangled quantum proofs; Chemistry; Computational complexity; Hilbert space; Information theory; Polynomials; Protocols; Quantum computing; Quantum entanglement; Quantum mechanics; Upper bound; 3SAT; PCP Theorem; QMA; additivity; entanglement; quantum computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Complexity, 2008. CCC '08. 23rd Annual IEEE Conference on
Conference_Location :
College Park, MD
ISSN :
1093-0159
Print_ISBN :
978-0-7695-3169-4
Type :
conf
DOI :
10.1109/CCC.2008.5
Filename :
4558825
Link To Document :
بازگشت