Entanglement and distillation from symmetric positive maps
Albert Rico
TL;DR
This work develops a symmetric framework for entanglement detection by building positive maps and witnesses from immanant inequalities, unifying reduction-type criteria with a broader class of multilinear constructions. Through the Choi–Jamiołkowski isomorphism and Young projectors, it yields both linear and multicopy entanglement witnesses, extendable to multipartite settings and adaptable via local filtering with operators E. A key contribution is the generalized maps Ψ_{ar{a}}^{E}, their extension to random-state detection, and the state–witness contraction method that produces highly symmetric witnesses capable of detecting entanglement even in states with local PPT, including multicopy scenarios. The results show that projecting onto low-dimensional subspaces and combining maps can substantially enhance detection power, potentially enabling distillation and broader PPT-compliant entanglement detection, with practical implications for randomized measurement schemes and symmetry-inspired entanglement testing.
Abstract
Recently, a toolkit of highly symmetric techniques employing matrix inequalities has been developed to detect entanglement in various ways. Here we unifiedly explain in detail these methods, and expand them to a new family of positive maps with further detection capabilities. In the simplest case, we generalize the reduction map to detect more generic states using both multiple copies and local filters. Through the Choi-Jamiołkowski isomorphism, this family of maps leads to a construction of multipartite entanglement witnesses. Discussions and examples are provided regarding the detection of states with local positive partial transposition and the use of multiple copies.
