Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/7432
Title: Broadcasting of entanglement via orthogonal and non-orthogonal state-dependent cloners
Authors: Shukla, Manish Kumar
Chakrabarty, Indranil
Chatterjee, Sourav
Keywords: Cloning
Broadcasting
Entanglement
Quantum Physics
Issue Date: Jan-2020
Publisher: Springer Verlag
Citation: Quantum Information Processing,2020, Vol.19, p18
Abstract: In this work, we extensively study the problem of broadcasting of entanglement as state-dependent versus state-independent cloners. We start by re-conceptualizing the idea of state-dependent quantum cloning machine (SD-QCM), and in that process, we introduce different types of SD-QCMs, namely orthogonal and non-orthogonal cloners. We derive the conditions for which the fidelity of these cloners will become independent of the input state. We note that such a construction allows us to maximize the cloning fidelity at the cost of having partial information of the input state. In the discussion on broadcasting of entanglement, we start with a general two-qubit state as our resource and later we consider a specific example of Bell diagonal state. We apply both state-dependent and state-independent cloners (orthogonal and non-orthogonal), locally and non-locally, on input resource state and obtain a range for broadcasting of entanglement in terms of the input state parameters. Our results highlight several instances where the state-dependent cloners outperform their state-independent counterparts in broadcasting entanglement. Our study provides a comparative perspective on the broadcasting of entanglement via cloning in two-qubit scenario, when we have some knowledge of the resource ensemble versus a situation when we have no such information.
Description: Restricted Access.
URI: http://hdl.handle.net/2289/7432
ISSN: 1570-0755 1
573-1332 (Online)
Alternative Location: https://ui.adsabs.harvard.edu/abs/2020QuIP...19...15S/abstract
https://arxiv.org/abs/1904.12899
https://doi.org/10.1007/s11128-019-2500-6
Copyright: 2020 Springer-Verlag
Appears in Collections:Research Papers (LAMP)

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