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Adaptability of QA-based 1-bit MIMO method to RIS phase-shift optimization

Ascertain whether the quantum annealing-based approach developed for 1-bit pre/postcoding in MIMO can be adapted to optimization of reconfigurable intelligent surface phase shifts that use continuous phase values, rather than purely combinatorial discretizations.

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Background

The authors contrast their QAOA-based framework, which naturally maps phase shifts to rotation gates and can extend to problems like RIS phase-shift optimization, with prior work that uses quantum annealing on purely combinatorial formulations for 1-bit MIMO.

They explicitly state uncertainty regarding whether the quantum annealing solution of the earlier works could be adapted to RIS settings, where phases are continuous. Clarifying this adaptability is important for leveraging quantum methods in broader wireless optimization contexts.

References

Moreover, the proposed framework can naturally extend to other challenging wireless network applications, such as RIS phase shift optimization, whereas it is unclear whether the solution of [5],[6] could be adapted.

Quantum Approximate Optimization Algorithm for MIMO with Quantized b-bit Beamforming (2510.15935 - Mitsiou et al., 7 Oct 2025) in Subsection "Motivation Contribution" (Section I)