Quantum capacity analysis of multi-level amplitude damping channels

22Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Evaluating capacities of quantum channels is the first purpose of quantum Shannon theory, but in most cases the task proves to be very hard. Here, we introduce the set of Multi-level Amplitude Damping quantum channels as a generalization of the standard qubit Amplitude Damping Channel to quantum systems of finite dimension d. In the special case of d = 3, by exploiting degradability, data-processing inequalities, and channel isomorphism, we compute the associated quantum and private classical capacities for a rather wide class of maps, extending the set of models whose capacity can be computed known so far. We proceed then to the evaluation of the entanglement assisted quantum and classical capacities.

References Powered by Scopus

A Mathematical Theory of Communication

37376Citations
N/AReaders
Get full text

Completely positive linear maps on complex matrices

1932Citations
N/AReaders
Get full text

Positive functions on c-algebras

1225Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Dynamical maps beyond Markovian regime

45Citations
N/AReaders
Get full text

Work Extraction Processes from Noisy Quantum Batteries: The Role of Nonlocal Resources

16Citations
N/AReaders
Get full text

Quantum regression beyond the Born-Markov approximation for generalized spin-boson models

13Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Chessa, S., & Giovannetti, V. (2021). Quantum capacity analysis of multi-level amplitude damping channels. Communications Physics, 4(1). https://doi.org/10.1038/s42005-021-00524-4

Readers over time

‘20‘21‘22‘23‘2401234

Readers' Seniority

Tooltip

Researcher 4

67%

Professor / Associate Prof. 1

17%

PhD / Post grad / Masters / Doc 1

17%

Readers' Discipline

Tooltip

Physics and Astronomy 5

63%

Engineering 2

25%

Computer Science 1

13%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 31

Save time finding and organizing research with Mendeley

Sign up for free
0