Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

High Contrast Metastructures

The role of nonlocality in optical computing

Francesco Monticone

Published Mar 5, 2026• 0 citations
Publisher
DOI
10.1117/12.3082238

Related papers

The role of optics in computing

John Caulfield, Shlomi Dolev

Nature Photonics•Jul 1, 2010•7 citations

The role of optics in computing

David A. B. Miller

Nature Photonics•Jul 1, 2010•57 citations

An Optical Approach to Quantum Computing

J. D. Franson, T. B. Pittman

Lecture notes in computer science•Jan 1, 1999•2 citations

Arbitrarily little knowledge can give a quantum advantage for nonlocal tasks

Jonathan Allcock, Harry Buhrman, Noah Linden

It has previously been shown that quantum nonlocality offers no benefit over classical correlations for performing a distributed task known as nonlocal computation. This is where separated parties must compute the value of a function without individually learning anything about the inputs. We show that giving the parties some knowledge of the inputs, however small, is sufficient to ``unlock'' the power of quantum mechanics to outperform classical mechanics. This role of information held locally gives insight into the general question of when quantum nonlocality gives an advantage over classical physics. Our results also reveal an interesting feature of the nonlocality embodied in the celebrated task of Clauser, Horne, Shimony, and Holt.

arXiv:0903.0586•Physical Review A•Sep 10, 2009•2 citations

Towards Optical Quantum Computing

Sverre Gullikstad Johnsen

•Jan 1, 2002•0 citations

Quantifying Bell nonlocality with the trace distance

Samuraí Brito, Bárbara Amaral, Rafael Chaves

Measurements performed on distant parts of an entangled quantum state can generate correlations incompatible with classical theories respecting the assumption of local causality. This is the phenomenon known as quantum nonlocality that, apart from its fundamental role, can also be put to practical use in applications such as cryptography and distributed computing. Clearly, developing ways of quantifying nonlocality is an important primitive in this scenario. Here, we propose to quantify the nonlocality of a given probability distribution via its trace distance to the set of classical correlations. We show that this measure is a monotone under the free operations of a resource theory and, furthermore, that it can be computed efficiently with a linear program. We put our framework to use in a variety of relevant Bell scenarios also comparing the trace distance to other standard measures in the literature.

arXiv:1709.04260•Physical Review A•Feb 21, 2018•54 citations
It has previously been shown that quantum nonlocality offers no benefit over classical correlations for performing a distributed task known as nonlocal computation. This is where separated parties must compute the value of a function without individually learning anything about the inputs. We show that giving the parties some knowledge of the inputs, however small, is sufficient to ``unlock'' the power of quantum mechanics to outperform classical mechanics. This role of information held locally gives insight into the general question of when quantum nonlocality gives an advantage over classical physics. Our results also reveal an interesting feature of the nonlocality embodied in the celebrated task of Clauser, Horne, Shimony, and Holt.
Measurements performed on distant parts of an entangled quantum state can generate correlations incompatible with classical theories respecting the assumption of local causality. This is the phenomenon known as quantum nonlocality that, apart from its fundamental role, can also be put to practical use in applications such as cryptography and distributed computing. Clearly, developing ways of quantifying nonlocality is an important primitive in this scenario. Here, we propose to quantify the nonlocality of a given probability distribution via its trace distance to the set of classical correlations. We show that this measure is a monotone under the free operations of a resource theory and, furthermore, that it can be computed efficiently with a linear program. We put our framework to use in a variety of relevant Bell scenarios also comparing the trace distance to other standard measures in the literature.