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A. Vourdas

dblp:32/1912 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1998
0000-0003-4289-3305ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Quantum computing and quantum information · 68% Coding theory · 29% Information theory · 3%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information
quantum communication		 0.021998
Rate Distortion and Detection in Quantum Communication · IEEE Trans. Inf. Theory 1998
Information in quantum optical binary communications · IEEE Trans. Inf. Theory 1990
Quantum computing and quantum information
quantum estimation		 0.011998
Rate Distortion and Detection in Quantum Communication · IEEE Trans. Inf. Theory 1998
Coding theory › source coding
rate-distortion theory		 0.011998
Rate Distortion and Detection in Quantum Communication · IEEE Trans. Inf. Theory 1998
Information theory
channel capacity		 0.011990
Information in quantum optical binary communications · IEEE Trans. Inf. Theory 1990

Methods — techniques the papers use, named apart from their topics

fidelity function · 0.0
YearPublicationVenuePosition
1998 Rate Distortion and Detection in Quantum Communication
abstract
Several relations between the rate distortion function and the probability of error in detection are studied in the context of quantum communication theory. Both of these criteria are associated with the same fidelity function.
C. Bendjaballah, J. M. Leroy, A. Vourdas
 IEEE Trans. Inf. Theory3
1990 Information in quantum optical binary communications
abstract
A quantum mechanical formalism for the calculation of the transmitted information per symbol in optical binary communications is presented. The concavity property is used to calculate the maximum entropy, from which the average entropy is subtracted to calculate the information per symbol. The proposed formalism is applied to the number of eigenstate signals in thermal noise and squeezed signals in thermal noise. The error probability for these cases is calculated. It is found that squeezing can improve the performance of optical communications.>
A. Vourdas
 IEEE Trans. Inf. Theory1