Short Block-length Channel Coded Modulation with Random Linear Codes and QAOA Decoding
- Citation Author(s):
-
Burhan Gulbahar
- Submitted by:
- Burhan Gulbahar
- Last updated:
- DOI:
- 10.21227/s0k1-4d10
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Abstract
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 Code (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). For a comprehensive understanding, please refer to the main article titled 'Short Block-length Channel Coded Modulation with Random Linear Codes and QAOA Decoding'.
Instructions:
There are five files in 'data_repository.zip'. 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'.
