Broadcasting quantum coherence via cloning

Udit Kamal Sharma, Indranil Chakrabarty, and Manish Kumar Shukla
Phys. Rev. A 96, 052319 – Published 14 November 2017

Abstract

Quantum coherence has recently emerged as a key candidate for use as a resource in various quantum information processing tasks. Therefore, it is of utmost importance to explore the possibility of creating a greater number of coherent states from an existing coherent pair. In other words, we start with an initial incoherent pair and induce coherence via quantum cloning. More specifically, we start with a genuinely incoherent state that remains incoherent with the change of basis and make it a coherent state at the end. This process is known as broadcasting of coherence via cloning, which can either be optimal or nonoptimal. Interestingly, in this work, we are able to give a method by which we can introduce coherence in the genuinely incoherent state. We use the computational basis representation of the most general two-qubit mixed state, shared between Alice and Bob, as the input state for the universal symmetric optimal Buzek-Hillery cloner. First of all we show that it is impossible to ensure optimal broadcast of coherence. Second, in the case of nonoptimal broadcasting, we show that the coherence introduced in the output states of the cloner will always be lesser than the initial coherence of the input state. Finally, we take the examples of statistical mixture of the most coherent state and most incoherent state, and then the Bell-diagonal states, to obtain their respective ranges of nonoptimal broadcasting in terms of their input state parameters.

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  • Received 3 June 2017

DOI:https://doi.org/10.1103/PhysRevA.96.052319

©2017 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Udit Kamal Sharma1, Indranil Chakrabarty1, and Manish Kumar Shukla2

  • 1Center for Security, Theory and Algorithmic Research, International Institute of Information Technology, Gachibowli, Hyderabad, India
  • 2Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Gachibowli, Hyderabad, India

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Issue

Vol. 96, Iss. 5 — November 2017

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