J 2015

Process estimation in the presence of time-invariant memory effects

RYBÁR, Tomáš and Mário ZIMAN

Basic information

Original name

Process estimation in the presence of time-invariant memory effects

Authors

RYBÁR, Tomáš (703 Slovakia) and Mário ZIMAN (703 Slovakia, guarantor, belonging to the institution)

Edition

Phys. Rev. A, 2015, 1050-2947

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10301 Atomic, molecular and chemical physics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 2.808 in 2014

RIV identification code

RIV/00216224:14330/15:00081696

Organization unit

Faculty of Informatics

UT WoS

000362888900002

Keywords in English

quantum memory - quantum communication - quantum estimation

Tags

International impact, Reviewed
Změněno: 29/4/2016 07:01, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

Any repeated use of a fixed experimental instrument is subject to memory effects. We design an estimation method uncovering the details of the underlying interaction between the system and the internal memory without having any experimental access to memory degrees of freedom. In such case, by definition, any memoryless quantum process tomography (QPT) fails because the observed data sequences do not satisfy the elementary condition of statistical independence. However, we show that the randomness implemented in certain QPT schemes is sufficient to guarantee the emergence of observable “statistical” patterns containing complete information on the memory channels. We demonstrate the algorithm in detail for the case of qubit memory channels with two-dimensional memory. Interestingly, we find that for the arbitrary estimation method, the memory channels generated by controlled unitary interactions are indistinguishable from memoryless unitary channels.

Links

GAP202/12/1142, research and development project
Name: Slabé zdroje entanglementu a náhodnosti
Investor: Czech Science Foundation