Superpolynomial quantum enhancement in polaritonic neuromorphic computing
Superpolynomial quantum enhancement in polaritonic neuromorphic computing
复制标题
极化神经形态计算中的超多项式量子增强
作者：
Huawen Xu;T. Krisnanda;W. Verstraelen;T. Liew;Sanjib Ghosh
最近的原理证明实验已经证明了使用激子-极化子实现神经形态计算，利用相干经典状态[D.Ballarini等人，Nano Lett]。20、3506(2020)]。同时，预计非线性激子-极化子可以达到形成非经典态的量子区域。在这里，我们从理论上考虑激子极化子的量子性质，并预测在图像识别任务中会出现一种超多项式量子增强。这是在实验上可访问的参数内实现的。
Recent proof-of-principle experiments have demonstrated the implementation of neuromorphic computing using exciton-polaritons, making use of coherent classical states [D. Ballarini et al., Nano Lett. 20, 3506 (2020)]. At the same time, it is expected that nonlinear exciton-polaritons can reach a quantum regime forming non-classical states. Here we consider theoretically the quantum nature of exciton polaritons and predict a superpolynomial quantum enhancement in image recognition tasks. This is achieved within experimentally accessible parameters.
影响因子：
41.2
作者：
Deiteil, Aymeric;Fink, Thomas;Imamoglu, Atac
通讯作者：
Imamoglu, Atac