Short Block-length Channel Coded Modulation with Random Linear Codes and QAOA Decoding

The data repository includes simulation parameters and results for the Quantum Approximate Optimization Algorithm (QAOA) channel decoding applied to short block-lengths in Additive White Gaussian Noise (AWGN) channels. This research utilizes a Random Linear Codebook (RLC) in a Coded Modulation (CM) design at the encoder. Extensive simulations were conducted using IBM Quantum Lab and the ibmq_qasm_simulator back-end provided by IBM Quantum, simulating quantum circuits on classical hardware. A total of 532000 QAOA circuits were simulated, varying coding rate R = k /n, message length k, QAOA layer depth p, and Signal-to-Noise Ratio (SNR). The README.pdf file summarizes the theoretical model used in the simulations and provides a detailed description of the repository's contents. The gamma_matrix.csv and beta_matrix.csv files contain optimized angle parameters for the QAOA decoder circuits. Results, including cost values and bit error rates for specific problem instances, are found in the QAOA_data.csv and ML_data.csv files. For a comprehensive understanding, please refer to the main article titled 'Short Block-length Channel Coded Modulation with Random Linear Codes and QAOA Decoding'.