Process reconstruction: From unphysical to physical maps via maximum likelihood
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F05%3A00013058" target="_blank" >RIV/00216224:14330/05:00013058 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Process reconstruction: From unphysical to physical maps via maximum likelihood
Original language description
We show that the method of maximum likelihood (MML) provides us with an efficient scheme for the reconstruction of quantum channels from incomplete measurement data. By construction this scheme always results in estimations of channels that are completely positive. Using this property we use the MML for a derivation of physical approximations of unphysical operations. In particular, we analyze the optimal approximation of the universal NOT gate as well as the physical approximation of a quantum nonlinear polarization rotation.
Czech name
Rekonstrukce procesu: Od nefyzikálních k fyzikálním zobrazením přes maximální podobnost
Czech description
Analýza metody "maximal likelihood" při rekonstrukci procesu.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BE - Theoretical physics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F04%2F1153" target="_blank" >GA201/04/1153: Quantum resources and primitives</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Physical Review A
ISSN
1050-2947
e-ISSN
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Volume of the periodical
Vol. 72
Issue of the periodical within the volume
No. 2
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
"A022106"
UT code for WoS article
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EID of the result in the Scopus database
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