The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of APPLIED MATHEMATICS AND INFORMATICS
Transactions ID Number: 20-607
Full Name: Laszlo Gyongyosi
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Department of Telecommunications, BUTE, Magyar tudosok korutja 2., Budapest, 1521
Country: HUNGARY
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E-mail address: laszlo.gyongyosi@gmail.com
Other E-mails: gyongyosi@hit.bme.hu
Title of the Paper: Capacity Recovery of Very Noisy Optical Quantum Channels
Authors as they appear in the Paper: Laszlo Gyongyosi, Sandor Imre
Email addresses of all the authors:
Number of paper pages: 12
Abstract: The number of efficient approximation algorithms for quantum informational distances is very small, because of the special properties of quantum informational generator functions and of asymmetric quantum informational distances. If we wish to analyze the properties of quantum channels using today’s classical computer architectures, an extremely efficient algorithm is needed. The capacity recovery of very noisy communication channels cannot be imagined for classical systems, and this effect has no analogue in classical systems. The capacity recovery of very noisy quantum channels makes it possible to use two very noisy optical-fiber based quantum channels with a positive joint capacity at the output. Here we define a fundamentally new approach of capacity recovery of very noisy, practically completely useless optical quantum channels. We show an algorithmic solution to the capacity recovery problem, and provide an efficient algorithmic solution for finding th!
e set of recoverable very noisy optical quantum channels. The calculations are based on the asymptotic classical capacity of the quantum channel.
Keywords: Capacity Recovery, Noisy Optical Communications, Quantum Channels, Quantum Communications.
EXTENSION of the file: .pdf
Special (Invited) Session: Channel Capacity Restoration of Noisy Optical Quantum Channels
Organizer of the Session: 650-482
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