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Towards the classical communication complexity of entanglement distillation protocols with incomplete information

  • Institute for Advanced Studies
  • Carnegie Mellon University

Zinātniskās darbības rezultāts: Devums žurnālamKonferences zinātniskais rakstskoleģiāli recenzēts

Kopsavilkums

Entanglement is an essential resource for quantum communication and quantum computation, similar to shared random bits in the classical world. Entanglement distillation extracts nearly-perfect entanglement from imperfect entangled state. The classical communication complexity of these protocols is the minimal amount of classical information that needs to be exchanged for the conversion. In this, paper, we focus on the communication complexity of protocols that operate with incomplete information, i.e., where the inputs are mixed states and/or prepared adversarially. We consider three models of imperfect entanglement, namely, the bounded measurement model, the depolarization model, and the fidelity model. We describe there models as well as the motivations for studying them. For the bounded measurement model and the depolarization model, we prove tight and almost-tight bounds on the output quality of non-interactive protocols. For the fidelity model we prove a lower bound that matches the upper bound given by Ambainis et al., and thus completely characterizes communication complexity of entanglement distillation protocols for this model. Our result also suggests the optimality of the BB84 protocol in terms of communication complexity. We emphasize that although some of the results appear intuitively straightforward, their proofs are not. In fact, two novel techniques are developed for proving these results. We believe that these techniques are of independent interests, too.

OriģinālvalodaAngļu
Lapas (no-līdz)305-319
Lapu skaits15
ŽurnālsProceedings of the Annual IEEE Conference on Computational Complexity
Sējums19
Publikācijas statussPublicēts - 2004
Ārēji publicēts
PasākumsProceedings - 19th IEEE Annual Conference on Computational Complexity - Amherst, MA, Amerikas Savienotās Valstis
Ilgums: 21 jūn. 200424 jūn. 2004

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