Entangled Sensor Networks Empowered by Machine Learning
Yi Xia, Wei Li, William Clark, Darlene Hart, Quntao Zhuang, Zheshen Zhang · 2021
We propose and experimentally demonstrate a reconfigurable radio-frequency photonic sensor network based on continuous-variable multipartite entanglement. We further show that the entangled sensor network can be trained to undertake quantum-enhanced data classification tasks.