Sensitivity versus selectivity in entanglement detection via collective witnesses

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F24%3A00588243" target="_blank" >RIV/68378271:_____/24:00588243 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15310/24:73626329

Result on the web

<a href="https://hdl.handle.net/11104/0357501" target="_blank" >https://hdl.handle.net/11104/0357501</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1103/PhysRevResearch.6.033056" target="_blank" >10.1103/PhysRevResearch.6.033056</a>

Result language

angličtina

Original language name

Sensitivity versus selectivity in entanglement detection via collective witnesses

Original language description

In this paper, we introduce a supervised learning technique that harnesses artificial neural networks, along with the outcomes of collective entanglement measurements, to estimate the negativity of quantum states in two-qubit and qubit-qutrit systems. The resulting deep-learned collective entanglement witnesses offer the unique capability of continuous sensitivity and selectivity tuning. This instrument enables us to explore the tradeoff between sensitivity and selectivity in entanglement detection, a dimension not accessible to previously employed analytical witnesses. In particular, we demonstrate that there are experimentally cost-effective methods (in terms of the number of measurements) where sensitivity can be significantly improved at a slight expense of the selectivity of entanglement detection. This chosen approach is also favored due to its high generality and potential for superior performance compared to other types of entanglement witnesses. Our findings may pave the way for the development of more efficient and accurate entanglement detection methods in complex quantum systems, especially when considering realistic experimental imperfections.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10306 - Optics (including laser optics and quantum optics)

Project

<a href="/en/project/EH22_008%2F0004596" target="_blank" >EH22_008/0004596: Sensors and Detectors for Future Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Physical Review Research

ISSN

2643-1564

e-ISSN

2643-1564

Volume of the periodical

6

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

033056

UT code for WoS article

001272310900011

EID of the result in the Scopus database

2-s2.0-85198613247