Feedback ansatz for adaptive-feedback quantum metrology training with machine learning
Feedback ansatz for adaptive-feedback quantum metrology training with machine learning
It is challenging to construct metrology schemes which harness quantum features such as entanglement and coherence to surpass the standard quantum limit. We propose an ansatz for devising an adaptive-feedback quantum metrology (AFQM) strategy which greatly reduces the searching space. Combined with the Markovian feedback assumption, the computational complexity for …