A hybrid quantum-classical GAN (LaSt-QGAN) is applied to metasurface inverse design, claiming 10x faster training, 40x less data, and generation of Q-factors up to 10^4 from a training set with Q-factors up to 10^3.
Knight, and Aaswath P
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Hybrid Quantum-Classical Inverse Design of Metasurfaces for Tailored Narrow Band Absorption
A hybrid quantum-classical GAN (LaSt-QGAN) is applied to metasurface inverse design, claiming 10x faster training, 40x less data, and generation of Q-factors up to 10^4 from a training set with Q-factors up to 10^3.