Unknown

Dataset Information

0

Eternal non-Markovianity: from random unitary to Markov chain realisations.


ABSTRACT: The theoretical description of quantum dynamics in an intriguing way does not necessarily imply the underlying dynamics is indeed intriguing. Here we show how a known very interesting master equation with an always negative decay rate [eternal non-Markovianity (ENM)] arises from simple stochastic Schrödinger dynamics (random unitary dynamics). Equivalently, it may be seen as arising from a mixture of Markov (semi-group) open system dynamics. Both these approaches lead to a more general family of CPT maps, characterized by a point within a parameter triangle. Our results show how ENM quantum dynamics can be realised easily in the laboratory. Moreover, we find a quantum time-continuously measured (quantum trajectory) realisation of the dynamics of the ENM master equation based on unitary transformations and projective measurements in an extended Hilbert space, guided by a classical Markov process. Furthermore, a Gorini-Kossakowski-Sudarshan-Lindblad (GKSL) representation of the dynamics in an extended Hilbert space can be found, with a remarkable property: there is no dynamics in the ancilla state. Finally, analogous constructions for two qubits extend these results from non-CP-divisible to non-P-divisible dynamics.

SUBMITTER: Megier N 

PROVIDER: S-EPMC5527059 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Eternal non-Markovianity: from random unitary to Markov chain realisations.

Megier Nina N   Chruściński Dariusz D   Piilo Jyrki J   Strunz Walter T WT  

Scientific reports 20170725 1


The theoretical description of quantum dynamics in an intriguing way does not necessarily imply the underlying dynamics is indeed intriguing. Here we show how a known very interesting master equation with an always negative decay rate [eternal non-Markovianity (ENM)] arises from simple stochastic Schrödinger dynamics (random unitary dynamics). Equivalently, it may be seen as arising from a mixture of Markov (semi-group) open system dynamics. Both these approaches lead to a more general family of  ...[more]

Similar Datasets

| S-EPMC4232933 | biostudies-literature
| S-EPMC7668278 | biostudies-literature
| S-EPMC9846538 | biostudies-literature
| S-EPMC3329418 | biostudies-literature
| S-EPMC10716071 | biostudies-literature
| S-EPMC4579542 | biostudies-literature
| S-EPMC5605573 | biostudies-literature
| S-EPMC7224357 | biostudies-literature
| S-EPMC5354282 | biostudies-literature
| S-EPMC3630518 | biostudies-literature