4 citations · 4 across the 3 of their papers we have counts for
11 papers · 1 filter
Quantum-limited imaging using diffractive optical neural networks
Aakash Warke, Aonan Zhang, A. I. Lvovsky
We cast general imaging as multiparameter quantum estimation of band-limited spatial-frequency amplitudes. For separable (single-copy) measurements, we compute precision limits usi…
Passive Imaging with Quantum Advantage
Li Gong, Aonan Zhang, Madhura Ghosh Dastidar +2
Far-field optical imaging inevitably involves low-pass spatial filtering, limiting the resolution. Moreover, conventional imaging suppresses high spatial frequency components close…
Unveiling Hierarchical Invariants in Multiphoton Linear Optics
Baichuan Yang, Hao Zhan, Minghao Mi +3
Linear optical networks driven by quantum states of light are important building blocks of photonic quantum technologies. They access large bosonic Hilbert spaces through multiphot…
Achieving the Multi-parameter Quantum Cramér-Rao Bound with Antiunitary Symmetry
Ben Wang, Kaimin Zheng, Qian Xie +3
The estimation of multiple parameters is a ubiquitous requirement in many quantum metrology applications. However, achieving the ultimate precision limit, i.e. the quantum Cramér-R…
Experimental benchmarking of quantum state overlap estimation strategies with photonic systems
Hao Zhan, Ben Wang, Minghao Mi +4
Accurately estimating the overlap between quantum states is a fundamental task in quantum information processing. While various strategies using distinct quantum measurements have…
Neural Networks for Quantum Inverse Problems
Ningping Cao, Jie Xie, Aonan Zhang +3
Quantum Inverse Problem (QIP) is the problem of estimating an unknown quantum system from a set of measurements, whereas the classical counterpart is the Inverse Problem of est…