activity
20172022
most citedLeggett-Garg inequality in the context of three flavour neutrino oscillation

56 citations · 422 across the 21 of their papers we have counts for

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Showing 2019 · quant-phShow all

6 papers · 2 filters

quant-ph2019★ 13 cited

symmetric evolution, coherence and violation of Leggett-Garg inequalities

Javid Naikoo, Swati Kumari, A. K. Pan +1

We report an unusual buildup of the quantum coherence in a qubit subjected to non-Hermitian evolution generated by a Parity-Time () symmetric Hamiltonian, which is re…

quant-ph2019★ 6 cited

Quantumness of channels

Javid Naikoo, Subhashish Banerjee, R. Srikanth

The reliability of quantum channels for transmitting information is of profound importance from the perspective of quantum information. This naturally leads to the question as how…

quant-ph2019★ 9 cited

Violation of Leggett-Garg type inequalities in a driven two level atom interacting with a squeezed thermal reservoir

Javid Naikoo, Subhashish Banerjee, Arun M. Jayannavar

The violation of Leggett-Garg type inequalities (LGtIs) is studied on a two level atom, driven by an external field in the presence of a squeezed thermal reservoir. The violations…

quant-ph2019★ 8 cited

A study of coherence based measure of quantumness in (non) Markovian channels

Javid Naikoo, Subhashish Banerjee

We make a detailed analysis of quantumness for various quantum noise channels, both Markovian and non-Markovian. The noise channels considered include dephasing channels like rando…

quant-ph2019★ 6 cited

Interplay between nonclassicality and symmetry in an effective two level system with open system effects

Javid Naikoo, Subhashish Banerjee, Anirban Pathak

A three level atom in configuration is reduced to an effective two level system, under appropriate conditions, and its symmetric properties are investigated. Thi…

quant-ph2019★ 45 cited

Facets of quantum information under non-Markovian evolution

Javid Naikoo, Supriyo Dutta, Subhashish Banerjee

We consider two non-Markovian models: Random Telegraph Noise (RTN) and non-Markovian dephasing (NMD). The memory in these models is studied from the perspective of quantum Fisher i…