Application of Classical and Quantum Machine Learning in the Study of Open Quantum...
| Full text | |
| Author(s): |
Total Authors: 2
|
| Affiliation: | [1] Univ Sao Paulo, Inst Fis Sao Carlos, BR-13560970 Sao Carlos, SP - Brazil
[2] Univ Fed Mato Grosso, Inst Fis, BR-78060900 Cuiaba, Mato Grosso - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | NEW JOURNAL OF PHYSICS; v. 17, JUL 31 2015. |
| Web of Science Citations: | 16 |
| Abstract | |
We study the Markovianity of a composite system and its subsystems. We show how the dissipative nature of a subsystem's dynamics can be modified without having to change properties of the composite system environment. By preparing different system initial states or dynamically manipulating the subsystem coupling, we find that it is possible to induce a transition from Markov to non-Markov behavior, and vice versa. (AU) | |
| FAPESP's process: | 12/51589-1 - Materials World Network: investigations of quantum fluctuation relations using superconducting Qubits |
| Grantee: | Amir Ordacgi Caldeira |
| Support Opportunities: | Regular Research Grants |