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20242026
most citedUnveiling Hierarchical Invariants in Multiphoton Linear Optics

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

quant-ph2026

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…

quant-ph20261 cited

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…

quant-ph2026

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…

quant-ph2025

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…

quant-ph2024

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-…