activity
20152025
most citedAnalysis of Entanglement Measures and LOCC Maximized Quantum Fisher Information of General Two Qubit Systems

60 citations · 69 across the 4 of their papers we have counts for

collaborators

6 papers

quant-ph2025

Unveiling Entanglement's Metrological Power: Empirical Modeling of Optimal States in Quantum Metrics

Volkan Erol

Using extensive numerical analysis of 20,000 randomly generated two-qubit states, we provide a quantitative analysis of the connection between entanglement measures and Maximized Q…

quant-ph2017★ 9 cited

A Proposal for Quantum Fisher Information Optimization and its Relation with Entanglement Measures

Volkan Erol

Studies about Quantum Information Theory continue actively in many research institutions. Very recently, pratical setups of large scale quantum computers are widely studied e.g. qu…

quant-ph2017

Quantum Correlations and Bell Inequality Violation under Decoherence

Volkan Erol

Quantum Correlations are studied extensively in quantum information domain. Entanglement Measures and Quantum Discord are good examples of these actively studied correlations. Dete…

quant-ph2017

Quantum Fisher Information of W and GHZ State Superposition Under Decoherence

Volkan Erol

We study the changes in quantum Fisher information (QFI) values for one quantum system consisting of a superposition of W and GHZ states. In a recent work [6], QFI values of this m…

quant-ph2017

Entanglement Monotones and Measures: an overview

Volkan Erol

Quantum information theory and quantum computing are theoritical basis of quantum computers. Thanks to entanglement, quantum mechanical systems are provisioned to realize many info…

quant-ph2015★ 60 cited

Analysis of Entanglement Measures and LOCC Maximized Quantum Fisher Information of General Two Qubit Systems

Volkan Erol, Fatih Ozaydin, Azmi Ali Altintas

Entanglement has been studied extensively for unveiling the mysteries of non-classical correlations between quantum systems. In the bipartite case, there are well known measures fo…