Detection and Quantification of Entanglement in Multipartite Quantum Systems Using Weighted Graph and Bloch Representation of States
Ali Saif M. Hassan

TL;DR
This paper introduces new methods for detecting and quantifying entanglement in multipartite quantum systems using weighted graphs and Bloch representation, providing novel criteria and measures for entanglement analysis.
Contribution
It develops two approaches—graph-based and Bloch representation—for entanglement detection and measurement, including a new entanglement measure for N-qubit states.
Findings
New criteria for detecting multipartite entanglement.
A novel measure for quantifying entanglement in N-qubit states.
Extension of entanglement measure to mixed states.
Abstract
This thesis is an attempt to enhance understanding of the following questions A- Given a multipartite quantum state (possibly mixed), how to find out whether it is entangled or separable? (Detection of entanglement.) B- Given an entangled state, how to decide how much entangled it is? (Measure of entanglement.), in the context of multipartite quantum states. We have explored two approaches. In the first approach, we assign a weighted graph with multipartite quantum state and address the question of separability in terms of these graphs and various operations involving them. In the second approach we use the so called Bloch representation of multipartite quantum states to establish new criteria for detection of multipartite entangled states. We further give a new measure for entanglement in -qubit entangled pure state and formally extend it to cover -qubit mixed states.
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Taxonomy
TopicsTensor decomposition and applications · Quantum Computing Algorithms and Architecture · Quantum many-body systems
