Demo Data from EDBT 2026 / reviewers in the wild / expert
Bhaskar Roy Bardhan
dblp:140/7648
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Quantum computing and quantum information › quantum channel capacity
classical capacity |
0.2 | 1 | 2015 | Strong Converse for the Classical Capacity of Optical Quantum Communication Channels · IEEE Trans. Inf. Theory 2015 |
Coding theory
optical communication |
0.2 | 1 | 2015 | Strong Converse for the Classical Capacity of Optical Quantum Communication Channels · IEEE Trans. Inf. Theory 2015 |
Quantum computing and quantum information
quantum channel capacity |
0.2 | 1 | 2015 | 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 |
0.2 | 1 | 2015 | Strong Converse for the Classical Capacity of Optical Quantum Communication Channels · IEEE Trans. Inf. Theory 2015 |
Coding theory › channel coding
strong converse |
0.2 | 1 | 2015 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Strong Converse for the Classical Capacity of Optical Quantum Communication ChannelsabstractWe 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. Theory | 1 |
| 2014 | Strong converse for the capacity of quantum Gaussian channelsabstractWe 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 |
ISIT | 1 |