
handle: 10016/47821
Quantum computers could offer substantial energy-saving advantages over conventional compute servers, particularly in the context of 5G signal processing. This paper explores the potential of Quantum Annealing (QA) to implement Forward Error Correction (FEC) and introduces Qu4Fec, an innovative solution for decoding Low-Density Parity Check (LDPC) codes. Our findings demonstrate that Qu4Fec improves state-of-the-art approaches in terms of Block Error Rate (BLER). However, our experiments reveal that the current leading Quantum Processing Units (QPUs) design is suboptimal for the FEC problem formulation. We identify key challenges, including qubit chain length, scaling, and quantization, and propose Quantum architectures to address these limitations.
Mobile computing, Telecomunicaciones, RAN, Quantum annealer, FEC, LDPC decoding
Mobile computing, Telecomunicaciones, RAN, Quantum annealer, FEC, LDPC decoding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
