activity
20072026
most citedEntanglement witnesses: construction, analysis and classification

213 citations · 652 across the 41 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

quant-ph2020★ 4 cited

Detection power of separability criteria based on a correlation tensor: a case study

Gniewomir Sarbicki, Giovanni Scala, Dariusz Chruściński

Detection power of separability criteria based on a correlation tensor is tested within a family of generalized isotropic state in . For all these c…

quant-ph2020★ 1 cited

Eternally non-Markovian dynamics of a qubit interacting with a single-photon wavepacket

Anita Dąbrowska, Dariusz Chruściński, Sagnik Chakraborty +1

An evolution of a two-level system (qubit) interacting with a single-photon wave packet is analyzed. It is shown that a hierarchy of master equations gives rise to phase covariant…

cond-mat.mes-hall2020★ 8 cited

Topologically protected gap states and resonances in gated trilayer graphene

W. Jaskólski, G. Sarbicki

Gated trilayer graphene exhibits energy gap in its most stable ABC stacking. Here we show that when the stacking order changes from ABC to CBA, three gapless states appear in each…

quant-ph2020★ 1 cited

On the Alberti-Uhlmann Condition for Unital Channels

Sagnik Chakraborty, Dariusz Chruściński, Gniewomir Sarbicki +1

We address the problem of existence of completely positive trace preserving (CPTP) maps between two sets of density matrices. We refine the result of Alberti and Uhlmann and derive…

quant-ph2020★ 11 cited

Enhanced realignment criterion vs. linear entanglement witnesses

Gniewomir Sarbicki, Giovanni Scala, Dariusz Chruściński

It is shown that the enhanced (nonlinear) realignment criterion is equivalent to the family of linear criteria based on correlation tensor. These criteria generalize the original (…

quant-ph2020★ 39 cited

A family of multipartite separability criteria based on correlation tensor

Gniewomir Sarbicki, Giovanni Scala, Dariusz Chruściński

A family of separability criteria based on correlation matrix (tensor) is provided. Interestingly, it unifies several criteria known before like e.g. CCNR or realignment criterion,…