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Ivan Bardet

dblp:213/8186 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

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

Theory of computation · 1 · 1 first-author · 1 since 2021

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 · 100%

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

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information › quantum channel capacity
entanglement-assisted capacity
0.512021
Group Transference Techniques for the Estimation of the Decoherence Times and Capacities of Quantum Markov Semigroups · IEEE Trans. Inf. Theory 2021
Quantum computing and quantum information › quantum channel capacity
private capacity
0.512021
Group Transference Techniques for the Estimation of the Decoherence Times and Capacities of Quantum Markov Semigroups · IEEE Trans. Inf. Theory 2021
Quantum computing and quantum information
quantum channel
0.512021
Group Transference Techniques for the Estimation of the Decoherence Times and Capacities of Quantum Markov Semigroups · IEEE Trans. Inf. Theory 2021
Quantum computing and quantum information
quantum channel capacity
0.512021
Group Transference Techniques for the Estimation of the Decoherence Times and Capacities of Quantum Markov Semigroups · IEEE Trans. Inf. Theory 2021

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

representation theory · 0.5non-commutative functional inequalities · 0.5group transference · 0.5
YearPublicationVenuePosition
2021 Group Transference Techniques for the Estimation of the Decoherence Times and Capacities of Quantum Markov Semigroups
abstract
Capacities of quantum channels and decoherence times both quantify the extent to which quantum information can withstand degradation by interactions with its environment. However, calculating capacities directly is known to be intractable in general. Much recent work has focused on upper bounding certain capacities in terms of more tractable quantities such as specific norms from operator theory. In the meantime, there has also been substantial recent progress on estimating decoherence times with techniques from analysis and geometry, even though many hard questions remain open. In this article, we introduce a class of continuous-time quantum channels that we called transferred channels, which are built through representation theory from a classical Markov kernel defined on a compact group. In particular, we study two subclasses of such kernels: Hörmander systems on compact Lie-groups and Markov chains on finite groups. Examples of transferred channels include the depolarizing channel, the dephasing channel, and collective decoherence channels acting on d qubits. Some of the estimates presented are new, such as those for channels that randomly swap subsystems. We then extend tools developed in earlier work by Gao, Junge and LaRacuente to transfer estimates of the classical Markov kernel to the transferred channels and study in this way different non-commutative functional inequalities. The main contribution of this article is the application of this transference principle to the estimation of decoherence time, of private and quantum capacities, of entanglement-assisted classical capacities as well as estimation of entanglement breaking times, defined as the first time for which the channel becomes entanglement breaking. Moreover, our estimates hold for non-ergodic channels such as the collective decoherence channels, an important scenario that has been overlooked so far because of a lack of techniques.
Ivan Bardet, Marius Junge, Nicholas LaRacuente, Cambyse Rouze, Daniel Stilck França
IEEE Trans. Inf. Theory1