*Dataset for the paper "Entanglement-Assisted Classical Communication Over Quantum Channels for Binary Markov Sources"
Mohd Azri Mohd Izhar, Zunaira Babar, Soon Xin Ng and Lajos Hanzo, IEEE Transactions on Vehicular Technology (Accepted).
Results may be reproduced using Matlab.

Abstract: Abstract—Symbol-based iterative decoding is proposed for the
transmission of classical Markov source signals over a quantum channel
using a three-stage serial concatenation of a convolu- tional code
(CC), a unity-rate code and a two-qubit superdense (SD) protocol. A
modiﬁed symbol-based maximum a posteriori algorithm is employed for CC
decoding to exploit the Markov source statistics during the iterative
decoding process. Extrinsic information transfer chart analysis is
performed to evaluate the beneﬁt of the extrinsic mutual information
gleaned from the CC decoder for sources with different
correlations. We evaluate the bit error rate performance of the
proposed coding scheme and compare it to the relevant benchmark
schemes, including the turbo coding-based SD scheme. We demonstrate
that a near- capacity performance can be achieved using the proposed
scheme and when utilizing sources having a high correlation coefﬁcient
of ρ = 0.9, the proposed coding scheme performs within 0.53 dB from
the entanglement-assisted classical capacity.

Acknowledgement: This work was supported in part by the Malaysian
Ministry of Higher Edu- cation, in part by the Universiti Teknologi
Malaysia, in part by the European Research Council through the
Advanced Fellow Grant, in part by the Royal Society’s Wolfson Research
Merit Award, and in part by the Engineering and Physical Sciences
Research Council under Grant EP/L018659/1.


* Fig. 2 [Classical information rate against quantum depolarizing probability
for a two-qubit SD protocol. For memoryless sources, the effective throughput
is 1 cbit/use, which corresponds to q = 0.19.]: 
Plot using Fig2_J2_cap2.fig.

* Fig. 3 [EXIT characteristics of the inner decoder at q = 0.4 and outer decoder
for sources with ρ = {0, 0.2, 0.4, 0.6, 0.8, 0.9}. The interleaver length for Π
was set to 12, 000 symbols and the memory-4 non-systematic CC with GP
(g1 , g2 ) = (25, 21)8 (in octal notation) was employed for DECCC.]: 
Plot using Fig3_J2_EXIT.fig.

* Fig. 4 [EXIT characteristics of the inner decoder at q = 0.325 and various
types of non-systematic CCs employed as the outer component of the proposed
system for sources with ρ = 0.8. The memory-4 non-systematic CC with GP
(25, 21)8 has the best EXIT curve matching with the inner decoder.]: 
Plot using Fig4_J2_EXIT2.fig.

* Fig. 5 [Classical BER performance of the proposed SCUS-BMS scheme when
employing the memory-4 non-systematic CC with GP (25, 21)8 as the outer
code for sources with ρ = {0, 0.2, 0.4, 0.6, 0.8, 0.9}.]: 
Plot using Fig5_J2_BER1.fig.

* Fig. 6 [Comparison in BER performance at 10−4 between the proposed
SCUS-BMS, BCUS-BMS and TC-SD-BMS.]: 
Plot using Fig6_J2_corrq.fig.


