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Generalized self-testing and the security of the 6-state protocol

Authors :
Kenson, V M
van Dam, W
Severini, S
McKague, Matthew
Mosca, Michele
Kenson, V M
van Dam, W
Severini, S
McKague, Matthew
Mosca, Michele
Source :
Theory of Quantum Computation, Communication, and Cryptography: 5th Conference, TQC 2010, Revised Selected Papers (Lecture Notes in Computer Science, Volume 6519)
Publication Year :
2011

Abstract

Self-tested quantum information processing provides a means for doing useful information processing with untrusted quantum apparatus. Previous work was limited to performing computations and protocols in real Hilbert spaces, which is not a serious obstacle if one is only interested in final measurement statistics being correct (for example, getting the correct factors of a large number after running Shor's factoring algorithm). This limitation was shown by McKague et al. to be fundamental, since there is no way to experimentally distinguish any quantum experiment from a special simulation using states and operators with only real coefficients. In this paper, we show that one can still do a meaningful self-test of quantum apparatus with complex amplitudes. In particular, we define a family of simulations of quantum experiments, based on complex conjugation, with two interesting properties. First, we are able to define a self-test which may be passed only by states and operators that are equivalent to simulations within the family. This extends work of Mayers and Yao and Magniez et al. in self-testing of quantum apparatus, and includes a complex measurement. Second, any of the simulations in the family may be used to implement a secure 6-state QKD protocol, which was previously not known to be implementable in a self-tested framework. © 2011 Springer-Verlag.

Details

Database :
OAIster
Journal :
Theory of Quantum Computation, Communication, and Cryptography: 5th Conference, TQC 2010, Revised Selected Papers (Lecture Notes in Computer Science, Volume 6519)
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1146607692
Document Type :
Electronic Resource