Recursive-Repetitive Truncated QAOA-MVSIC for mMIMO Detection: Matrix Product State Simulation and Experimental Evaluation

The data repository contains data sets obtained with recursive-repetitive truncated QAOA-MVSIC algorithm denoted with RRT-Q in [1] which utilizes quantum-approximate optimization algorithm (QAOA)  for maximum-likelihood (ML) decoding in massive multi-input multi-output (mMIMO) systems. Data sets are based on experiments performed on 127 qubit quantum computer of IBM denoted as  IBM Eagle quantum processing unit ibm_brisbane [2].  Experiments are performed for BPSK\/QPSK modulation, n <= 120 and SNR <= 10 dB. We acknowledge the use of IBM Quantum Credits for this work. The views expressed are those of the authors, and do not reflect the official policy or position of IBM or the IBM Quantum team. For a comprehensive understanding, please refer to the main article in [1]. When referencing  results from the data repository, it is necessary to cite the corresponding article [1] (this data repository is referenced in [1]) for proper attribution.[1] B. Gulbahar, \u201dRecursive-repetitive truncated QAOA-MVSIC for mMIMO detection: Matrix product state simulation and experimental evaluation,\u201d 2025.