Engineering Reflective Metasurfaces with Ising Hamiltonian and Quantum Annealing

Engineering Reflective Metasurfaces with Ising Hamiltonian and Quantum Annealing
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DOI:
10.1109/tap.2021.3137424
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发表时间:
2021-05
影响因子:
5.7
通讯作者:
C. Ross;G. Gradoni;Q. Lim;Zhen Peng
C. Ross;G. Gradoni;Q. Lim;Zhen Peng
中科院分区:
计算机科学2区
文献类型:
--
作者:
C. Ross;G. Gradoni;Q. Lim;Zhen Peng

文献摘要

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我们提出了一种新颖且灵活的方法来优化反射超表面的相位响应以获得所需的散射轮廓。使用雷达截面形式将散射功率表示为自旋链哈密顿量。对于反射斜平面波的超表面,可以获得伊辛哈密顿量。因此,实现散射分布的问题被重新转化为寻找相关伊辛哈密顿量的基态解。为了快速探索构型态,我们利用量子退火算法对 Ising 系数进行编码,利用绝热演化在 Ising 模型中有效执行能量最小化的事实。最后,在 D-Wave 2048 量子位量子绝热优化机上解决了二相和四相反射超表面的优化问题。尽管这项工作的重点是超表面的相位调制,但我们相信这种方法为快速优化可重构智能表面铺平了道路,这些表面在幅度和相位上进行调制,以便在 5G/6G 移动网络内外生成多波束。
We present a novel and flexible method to optimize the phase response of reflective metasurfaces towards a desired scattering profile. The scattering power is expressed as a spin-chain Hamiltonian using the radar cross section formalism. For metasurfaces reflecting an oblique plane wave, an Ising Hamiltonian is obtained. Thereby, the problem of achieving the scattering profile is recast into finding the ground-state solution of the associated Ising Hamiltonian. To rapidly explore the configuration states, we encode the Ising coefficients with quantum annealing algorithms, taking advantage of the fact that the adiabatic evolution efficiently performs energy minimization in the Ising model. Finally, the optimization problem is solved on the D-Wave 2048-qubit quantum adiabatic optimizer machine for binary phase as well as quadriphase reflective metasurfaces. Even though the work is focused on the phase modulation of metasurfaces, we believe this approach paves the way to fast optimization of reconfigurable intelligent surfaces that are modulated in both amplitude and phase for multi-beam generation in and beyond 5G/6G mobile networks.