Universiti Teknologi Malaysia Institutional Repository

Quantum turbo decoding for quantum channels exhibiting memory

Mohd Izhar, M. A. and Babar, Z. and Nguyen, H. V. and Botsinis, P. and Alanis, D. and Chandra, D. and Ng, S. X. and Hanzo, L. (2018) Quantum turbo decoding for quantum channels exhibiting memory. IEEE Access, 6 . pp. 12369-12381. ISSN 2169-3536


Official URL: http://dx.doi.org/10.1109/ACCESS.2018.2808373


Inspired by the success of classical turbo codes, quantum turbo codes (QTCs) have also been conceived for near-hashing-bound transmission of quantum information over memoryless quantum channels. However, in real physical situations, the memoryless channel assumption may not be well justified, since the channel often exhibits memory of previous error events. Here, we investigate the performance of QTCs over depolarizing channels exhibiting memory and we show that they suffer from a performance degradation at low depolarizing probability values. In order to circumvent the performance degradation issue, we conceive a new coding scheme termed quantum turbo coding scheme exploiting error-correlation (QTC-EEC) that is capable of utilizing the error-correlation while performing the iterative decoding at the receiver. The proposed QTC-EEC can achieve convergence threshold at a higher depolarizing probability for channels with a higher value of correlation parameter and achieve performance near to the capacity. Finally, we propose a joint decoding and estimation scheme for our QTC-EEC relying on the correlation estimation (QTC-EEC-E) designed for more realistic quantum systems with unknown correlation parameter. Simulation results reveal that the proposed QTC-EEC-E can achieve the same performance as that of the ideal system of known correlation parameter and hence demonstrate the accurate estimation of the proposed QTC-EEC-E.

Item Type:Article
Uncontrolled Keywords:iterative decoding, Markov process, Markovian correlated-noise, Quantum channels with memory, quantum error-correction codes
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:79802
Deposited By: Narimah Nawil
Deposited On:28 Jan 2019 06:55
Last Modified:28 Jan 2019 06:55

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