Cargando…

Entanglement detection with artificial neural networks

Quantum entanglement is one of the essential resources involved in quantum information processing tasks. However, its detection for usage remains a challenge. The Bell-type inequality for relative entropy of coherence serves as an entanglement witness for pure entangled states. However, it does not...

Descripción completa

Detalles Bibliográficos
Autores principales:	Asif, Naema, Khalid, Uman, Khan, Awais, Duong, Trung Q., Shin, Hyundong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884245/ https://www.ncbi.nlm.nih.gov/pubmed/36709391 http://dx.doi.org/10.1038/s41598-023-28745-3

Ejemplares similares

Multiclass Classification of Metrologically Resourceful Tripartite Quantum States with Deep Neural Networks
por: Rizvi, Syed Muhammad Abuzar, et al.
Publicado: (2022)

Unified Monogamy Relations of Multipartite Entanglement
por: Khan, Awais, et al.
Publicado: (2019)

Quantum secure metrology for network sensing-based applications
por: Rahim, Muhammad Talha, et al.
Publicado: (2023)

Measurement-Based Quantum Correlations for Quantum Information Processing
por: Khalid, Uman, et al.
Publicado: (2020)

Tightening Monogamy and Polygamy Inequalities of Multiqubit Entanglement
por: Farooq, Ahmad, et al.
Publicado: (2019)

Robust Quantum State Tomography Method for Quantum Sensing
por: Farooq, Ahmad, et al.
Publicado: (2022)

Detection of entanglement in asymmetric quantum networks and multipartite quantum steering
por: Cavalcanti, D., et al.
Publicado: (2015)

Entanglement Swapping and Swapped Entanglement
por: Zangi, Sultan M., et al.
Publicado: (2023)

Entanglement-Gradient Routing for Quantum Networks
por: Gyongyosi, Laszlo, et al.
Publicado: (2017)

Dynamics of entangled networks of the quantum Internet
por: Gyongyosi, Laszlo
Publicado: (2020)

Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach
por: Riaz, Farina, et al.
Publicado: (2023)

Evaluation of the Hierarchical Correspondence between the Human Brain and Artificial Neural Networks: A Review
por: Pham, Trung Quang, et al.
Publicado: (2023)

Ultrafast preparation and detection of entangled atoms
por: Eckart, Sebastian, et al.
Publicado: (2023)

Artificial neural networks
por: Cain, Gayle
Publicado: (2016)

Developing an artificial neural network for detecting COVID-19 disease
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022)

Detection of Heart Arrhythmia on Electrocardiogram using Artificial Neural Networks
por: Badr, Malek, et al.
Publicado: (2022)

Detection and Analysis of Human Cells Based on Artificial Neural Network
por: Yao, Jun, et al.
Publicado: (2022)

Covariance-Matrix-Based Criteria for Network Entanglement
por: Hansenne, Kiara, et al.
Publicado: (2023)

Synchronization, quantum correlations and entanglement in oscillator networks
por: Manzano, Gonzalo, et al.
Publicado: (2013)

Experimental verification of multipartite entanglement in quantum networks
por: McCutcheon, W., et al.
Publicado: (2016)

Experimental Measurement-Device-Independent Entanglement Detection
por: Nawareg, Mohamed, et al.
Publicado: (2015)

Correlation minor norms, entanglement detection and discord
por: Peled, Bar Y., et al.
Publicado: (2021)

Detecting Tripartite Steering via Quantum Entanglement
por: Chen, Zhihua, et al.
Publicado: (2022)

Effects of turn-structure on folding and entanglement in artificial molecular overhand knots
por: Song, Yiwei, et al.
Publicado: (2020)

Detection of Error-Related Potentials in Stroke Patients from EEG Using an Artificial Neural Network
por: Usama, Nayab, et al.
Publicado: (2021)

Characterizing entanglement of an artificial atom and a cavity cat state with Bell's inequality
por: Vlastakis, Brian, et al.
Publicado: (2015)

Entanglement of formation and monogamy of multi-party quantum entanglement
por: Kim, Jeong San
Publicado: (2021)

Teleportation of hybrid entangled states with continuous-variable entanglement
por: He, Mingjian, et al.
Publicado: (2022)

The circadian clock and metabolic homeostasis: entangled networks
por: de Assis, Leonardo Vinícius Monteiro, et al.
Publicado: (2021)

Detection of pneumoperitoneum in the abdominal radiograph images using artificial neural networks
por: Kim, Mimi, et al.
Publicado: (2020)

Artificial Neural Networks for Prediction of Tuberculosis Disease
por: Khan, Muhammad Tahir, et al.
Publicado: (2019)

Artificial Neural Networks Trained to Detect Viral and Phage Structural Proteins
por: Seguritan, Victor, et al.
Publicado: (2012)

Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer
por: Mehdy, M. M., et al.
Publicado: (2017)

A Prospective Study on Diabetic Retinopathy Detection Based on Modify Convolutional Neural Network Using Fundus Images at Sindh Institute of Ophthalmology & Visual Sciences
por: Bajwa, Awais, et al.
Publicado: (2023)

Intelligent computing with Levenberg–Marquardt artificial neural network for Carbon nanotubes-water between stretchable rotating disks
por: Ali, Faizan, et al.
Publicado: (2023)

Artificial neural network and neuroregeneration
Publicado: (2012)

Artificial neural network modelling
por: Shanmuganathan, Subana, et al.
Publicado: (2016)

Science of artificial neural networks
por: Ruck, D W
Publicado: (1992)

Science of artificial neural networks
por: Ruck, D W
Publicado: (1992)

An introduction to artificial neural networks
por: Peterson, C, et al.
Publicado: (1992)

Cannot write session to /tmp/vufind_sessions/sess_q4a2bijp26frl1ttgtqjrpov0t