On propagation of quantum information in Markov quantum open systems

Ting Yu, Lajos Diósi, Nicolas Gisin +1 more

Lewis A. Clark, Wei Huang, Thomas M. Barlow +1 more

Robabeh Abdi Someh

In general, quantum systems can be divided into two groups of closed quantum systems and open quantum systems. Also open quantum systems are divided into two categories of Markov systems (non-memory) and non-Markov systems (memory). To distinguish these two behaviors, we use of the entanglement dynamic which can provide a lot of information about the evolution of a system. Returning information from environment to system can be translate as increasing of entanglement in specific period of times, so if increase of entanglement seen, system will have non-Markov treatment and if there is uniform reduction in entanglement, there will be Markov treatment. In special problems which have special matrixes, we have to calculate entanglement every time. For this purpose, we will use of incidence that is a scale for entanglement. For qubit systems the formation of incidence is close which called entanglement of formation. Numerical computation is done by MATLAB and FORTRAN and entanglement dynamics varying by time will be gained. Then analyzing of diagrams is done and the type of process such as Markov and non-Markov is recognized. MENFIT that can show treatment of entanglement in every time, is used too.

Heinz‐Peter Breuer

Sonja Daffer

Armando Pérez-Leija, Diego Guzmán-Silva, Roberto de J. León‐Montiel +3 more

We demonstrate, theoretically and experimentally, that when two indistinguishable particles co-propagate through quantum networks affected by dephasing, the system always evolves into a steady state in which the ‘coherences’ between different states perpetually prevail.