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Bhaskar Roy Bardhan

dblp:140/7648 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2015
—ORCID · none

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

Theory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 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
1 paper
Quantum computing and quantum information · 60% Coding theory · 40%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information › quantum channel capacity
classical capacity
0.212015
Strong Converse for the Classical Capacity of Optical Quantum Communication Channels · IEEE Trans. Inf. Theory 2015
Coding theory
optical communication
0.212015
Strong Converse for the Classical Capacity of Optical Quantum Communication Channels · IEEE Trans. Inf. Theory 2015
Quantum computing and quantum information
quantum channel capacity
0.212015
Strong Converse for the Classical Capacity of Optical Quantum Communication Channels · IEEE Trans. Inf. Theory 2015
Quantum computing and quantum information › quantum channel
quantum gaussian channels
0.212015
Strong Converse for the Classical Capacity of Optical Quantum Communication Channels · IEEE Trans. Inf. Theory 2015
Coding theory › channel coding
strong converse
0.212015
Strong Converse for the Classical Capacity of Optical Quantum Communication Channels · IEEE Trans. Inf. Theory 2015

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

strong converse theorem · 0.2photon-number occupation constraint · 0.2
YearPublicationVenuePosition
2015 Strong Converse for the Classical Capacity of Optical Quantum Communication Channels
abstract
We establish the classical capacity of optical quantum channels as a sharp transition between two regimes-one which is an error-free regime for communication rates below the capacity, and the other in which the probability of correctly decoding a classical message converges exponentially fast to zero if the communication rate exceeds the classical capacity. This result is obtained by proving a strong converse theorem for the classical capacity of all phase-insensitive bosonic Gaussian channels, a well-established model of optical quantum communication channels, such as lossy optical fibers, amplifier, and free-space communication. The theorem holds under a particular photon-number occupation constraint, which we describe in detail in this paper. Our result bolsters the understanding of the classical capacity of these channels and opens the path to applications, such as proving the security of noisy quantum storage models of cryptography with optical links.
Bhaskar Roy Bardhan, Raúl García-Patrón, Mark M. Wilde, Andreas J. Winter 0002
IEEE Trans. Inf. Theory1
2014 Strong converse for the capacity of quantum Gaussian channels
abstract
We prove that a strong converse theorem holds for the classical capacity of all phase-insensitive bosonic Gaussian channels, when imposing a maximum photon number constraint on the inputs of the channel. This class is a natural extension of classical continuous Gaussian channels, and the well studied pure-loss, thermal, additive noise, and amplifier channels are all in this class of channels. The statement of the strong converse theorem is that the probability of correctly decoding a classical message rapidly converges to zero in the limit of many channel uses if the communication rate exceeds the classical capacity. We prove this theorem by relating the success probability of any code with its rate of data transmission, the effective dimension of the channel output space, and the purity of the channel as quantified by the minimum output entropy. Our result bolsters the understanding of the classical capacity of these channels by establishing it as a sharp dividing line between possible and impossible communication rates over them.
Bhaskar Roy Bardhan, Raúl García-Patrón, Mark M. Wilde, Andreas J. Winter 0002
ISIT1