Javascript must be enabled to continue!
Quantum Entanglement and Its Classification Protocols
View through CrossRef
Quantum entanglement has its own major role in quantum information theory. Its application in numerous areas namely quantum computing, quantum cryptography and quantum teleportation are proven vital and essential. Over the last decades, the interests in quantum entanglement have grown and significant progress in quantum computing has been revealed. However, the classification of entanglement was proved to be challenging especially in a higher qubit-dimensional system setting. In this review, indexed literature as the secondary resource was chosen by specific keywords from several database. In reference to the literatures review, there exists several entanglement classifications protocols that will be presented in this paper namely local unitary (LU), local operations and classical communication (LOCC), and stochastic local operations and classical communication (SLOCC). This study will offer a better understanding of quantum entanglement and the entanglement classification protocols.
Title: Quantum Entanglement and Its Classification Protocols
Description:
Quantum entanglement has its own major role in quantum information theory.
Its application in numerous areas namely quantum computing, quantum cryptography and quantum teleportation are proven vital and essential.
Over the last decades, the interests in quantum entanglement have grown and significant progress in quantum computing has been revealed.
However, the classification of entanglement was proved to be challenging especially in a higher qubit-dimensional system setting.
In this review, indexed literature as the secondary resource was chosen by specific keywords from several database.
In reference to the literatures review, there exists several entanglement classifications protocols that will be presented in this paper namely local unitary (LU), local operations and classical communication (LOCC), and stochastic local operations and classical communication (SLOCC).
This study will offer a better understanding of quantum entanglement and the entanglement classification protocols.
.
Related Results
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
Advanced frameworks for fraud detection leveraging quantum machine learning and data science in fintech ecosystems
The rapid expansion of the fintech sector has brought with it an increasing demand for robust and sophisticated fraud detection systems capable of managing large volumes of financi...
Advancements in Quantum Computing and Information Science
Advancements in Quantum Computing and Information Science
Abstract: The chapter "Advancements in Quantum Computing and Information Science" explores the fundamental principles, historical development, and modern applications of quantum co...
Quantum information outside quantum information
Quantum information outside quantum information
Quantum theory, as counter-intuitive as a theory can get, has turned out to make predictions of the physical world that match observations so precisely that it has been described a...
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
Integrating quantum neural networks with machine learning algorithms for optimizing healthcare diagnostics and treatment outcomes
The rapid advancements in artificial intelligence (AI) and quantum computing have catalyzed an unprecedented shift in the methodologies utilized for healthcare diagnostics and trea...
Impact of imperfections on correlation-based quantum information protocols
Impact of imperfections on correlation-based quantum information protocols
Quantum information science is a rapidly evolving field both from the theoretical and the experimental viewpoint, motivated by the fact that protocols exploiting quantum resources ...
Revolutionizing multimodal healthcare diagnosis, treatment pathways, and prognostic analytics through quantum neural networks
Revolutionizing multimodal healthcare diagnosis, treatment pathways, and prognostic analytics through quantum neural networks
The advent of quantum computing has introduced significant potential to revolutionize healthcare through quantum neural networks (QNNs), offering unprecedented capabilities in proc...
Quantum Entanglement in Time
Quantum Entanglement in Time
<p>This thesis is in the field of quantum information science, which is an area that reconceptualizes quantum physics in terms of information. Central to this area is the qu...
Optimizing IETF multimedia signaling protocols and architectures in 3GPP networks : an evolutionary approach
Optimizing IETF multimedia signaling protocols and architectures in 3GPP networks : an evolutionary approach
Signaling in Next Generation IP-based networks heavily relies in the family of multimedia signaling protocols defined by IETF. Two of these signaling protocols are RTSP and SIP, wh...


