학술논문
Quantum-Assisted Combinatorial Optimization for Reconfigurable Intelligent Surfaces in Smart Electromagnetic Environments
Document Type
Periodical
Author
Source
IEEE Transactions on Antennas and Propagation IEEE Trans. Antennas Propagat. Antennas and Propagation, IEEE Transactions on. 72(1):147-159 Jan, 2024
Subject
Language
ISSN
0018-926X
1558-2221
1558-2221
Abstract
We have recently seen a surge in interest in leveraging reconfigurable intelligent surfaces (RISs) in smart radio environments. One critical question is how to efficiently optimize the phase configuration that results in the desired reflective wavefront. In this article, we proposed a physics-based optimization approach inspired by the statistical mechanics of correlated spins and adiabatic quantum computing (QC). The new concept is based on the isomorphism of electromagnetic (EM) scattered power and the Ising Hamiltonian. As a result, the problem of optimizing phase configuration is transformed into the problem of finding the ground state of the target Ising Hamiltonian. We successfully demonstrate the feasibility of combinatorial optimization for weighted beamforming and diffusive scattering applications using this framework.