Optimal bounds for correlations via semidefinite programming

نویسندگان

  • Peter Høyer
  • Jibran Rashid
چکیده

Nonlocal boxes (NLBs) are devices that are used to generate correlated bits between two spatially separated parties. If the generated correlation is weak, it can sometimes be distilled into a stronger correlation by repeated applications of the nonlocal box. We initiate here a study of the distillation of correlations for nonlocal boxes that output quantum states rather than classical bits. We give a semidefinite programming formulation of when distillation is possible under non-adaptive protocols. We propose a protocol for distillation and show that it asymptotically distills a class of correlated quantum nonlocal boxes to the value 12 (3 √ 3 + 1) ≈ 3.09876, whereas in contrast, the optimal non-adaptive parity protocol for classical nonlocal boxes asymptotically distills only to the value 3.0. We then show that our protocol is an optimal non-adaptive protocol for 1, 2 and 3 copies by proving a matching upper bound. Our work demonstrates that some quantum nonlocal boxes exhibit stronger distillability than their classical counterpart and provides evidence that qNLBs are a stronger resource for nonlocality than NLBs. 1 Nonlocality distillation Consider two parties, Alice and Bob, spatially separated and isolated, interested in jointly computing some boolean function f(·, ·). A third party, Charlie, provides Alice with an input wA (unbeknown to Bob) and Bob with an input wB (unbeknown to Alice) and challenges them to compute the bit f(wA, wB). Charlie allows Alice and Bob to communicate, but charges for each and every bit communicated between Alice and Bob, whom therefore have pre-agreed upon a protocol that minimizing the amount of communication required for them to compute the bit f(wA, wB). This is what we know as communication complexity. It seems entirely impossible to jointly compute a non-trivial function if no information can be interchanged between Alice and Bob, and it is indeed one of the first results typically shown in any introduction to communication complexity. But as soon as one tweaks the models ever so slightly, surprising results are possible. This paper is about understanding one such tweaking and its implications for our understanding of computational resources and of the physical world. A nonlocal box is a device shared between two parties that, when defined as we do here, in itself is incapable of transfering any information from Alice to Bob, or vice-versa, from Bob to Alice. Yet it renders all of communication complexity trivial. A nonlocal box takes as input two bits, a bit x from Alice and a bit y from Bob, and outputs two bits, a bit a provided to Alice (and only Alice) and a bit b provided to Bob (and only Bob). If the two input bits x and y from Alice and Bob equal (0, 0), (0, 1), or (1, 0), the box

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bounds on entanglement dimensions and quantum graph parameters via noncommutative polynomial optimization

In this paper we study bipartite quantum correlations using techniques from tracial polynomial optimization. We construct a hierarchy of semidefinite programming lower bounds on the minimal entanglement dimension of a bipartite correlation. This hierarchy converges to a new parameter: the minimal average entanglement dimension, which measures the amount of entanglement needed to reproduce a qua...

متن کامل

A Semidefinite Programming Approach to Optimal-Moment Bounds for Convex Classes of Distributions

We provide an optimization framework for computing optimal upper and lower bounds on functional expectations of distributions with special properties, given moment constraints. Bertsimas and Popescu have already shown how to obtain optimal moment inequalities for arbitrary distributions via semidefinite programming. These bounds are not sharp if the underlying distributions possess additional s...

متن کامل

Determining the Optimal Value Bounds of the Objective Function in Interval Quadratic Programming Problem with Unrestricted Variables in Sign

In the most real-world applications, the parameters of the problem are not well understood. This is caused the problem data to be uncertain and indicated with intervals. Interval mathematical models include interval linear programming and interval nonlinear programming problems.A model of interval nonlinear programming problems for decision making based on uncertainty is interval quadratic prog...

متن کامل

Converging Semidefinite Bounds for Global Unconstrained Polynomial Optimization

We consider here the problem of minimizing a polynomial function on Rn. The problem is known to be hard even for degree 4. Therefore approximation algorithms are of interest. Lasserre [11] and Parrilo [16] have proposed approximating the minimum of the original problem using a hierarchy of lower bounds obtained via semidefinite programming relaxations. We propose here a method for computing a c...

متن کامل

Almost Optimal Sublinear Time Algorithm for Semidefinite Programming

We present an algorithm for approximating semidefinite programs with running time that is sublinear in the number of entries in the semidefinite instance. We also present lower bounds that show our algorithm to have a nearly optimal running time 1 .

متن کامل

A Conic Programming Approach to Generalized Tchebycheff Inequalities

Consider the problem of finding optimal bounds on the expected value of piece-wise polynomials over all measures with a given set of moments. This is a special class ofGeneralized Tchebycheff Inequalities in probability theory. We study this problem within the framework of conic programming. Relying on a general approximation scheme for conic programming, we show that these bounds can be numeri...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011