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The use of quantum computation for wireless network applications is emergingas a promising paradigm to bridge the performance gap between in-practice andoptimal wireless algorithms. While today's quantum technology offers limitednumber of qubits and low fidelity gates, application-based quantum solutionshelp us to understand and improve the performance of such technology evenfurther. This paper introduces QGateD-Polar, a novel Quantum Gate-basedMaximum-Likelihood Decoder design for Polar error correction codes, which arebecoming widespread in today's 5G and tomorrow's NextG wireless networks.QGateD-Polar uses quantum gates to dictate the time evolution of Polar codedecoding -- from the received wireless soft data to the final decoded solution-- by leveraging quantum phenomena such as superposition, entanglement, andinterference, making it amenable to quantum gate-based computers. Our earlyresults show that QGateD-Polar achieves the Maximum Likelihood performance inideal quantum simulations, demonstrating how performance varies with noise.

Decoding Polar Codes via Noisy Quantum Gates: Quantum Circuits and Insights