27 citations · 133 across the 14 of their papers we have counts for
14 papers
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…
Resource-efficient Direct Characterization of General Density Matrix
Liang Xu, Mingti Zhou, Runxia Tao +12
Sequential weak measurements allow the direct extraction of individual density-matrix elements instead of globally reconstructing the whole density matrix, opening a new avenue for…
Quantum verification of NP problems with single photons and linear optics
Aonan Zhang, Hao Zhan, Junjie Liao +5
Quantum computing is seeking to realize hardware-optimized algorithms for application-related computational tasks. NP (nondeterministic-polynomial-time) is a complexity class conta…
Direct Characterization of Quantum Measurements using Weak Values
Liang Xu, Huichao Xu, Tao Jiang +5
The time-symmetric formalism endows the weak measurement and its outcome, the weak value,many unique features. In particular, it allows a direct tomography of quantum states withou…
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…
Entirety of Quantum Uncertainty and Its Experimental Verification
Jie Xie, Songtao Huang, Li Zhou +5
As a foundation of modern physics, uncertainty relations describe an ultimate limit for the measurement uncertainty of incompatible observables. Traditionally, uncertain relations…
Observing geometry of quantum states in a three-level system
Jie Xie, Aonan Zhang, Ningping Cao +7
In quantum mechanics, geometry has been demonstrated as a useful tool for inferring non-classical behaviors and exotic properties of quantum systems. One standard approach to illus…
Experimental self-characterization of quantum measurements
Aonan Zhang, Jie Xie, Huichao Xu +5
The accurate and reliable description of measurement devices is a central problem in both observing uniquely non-classical behaviors and realizing quantum technologies from powerfu…
Experimental test of contextuality in quantum and classical systems
Aonan Zhang, Huichao Xu, Jie Xie +4
Contextuality is considered as an intrinsic signature of non-classicality, and a crucial resource for achieving unique advantages of quantum information processing. However, recent…
Adaptive tomography of qubits: Purity versus statistical fluctuations
Aonan Zhang, Yujie Zhang, Feixiang Xu +2
The success of quantum information processing applications relies on accurate and efficient characterization of quantum states, especially nearly-pure states. In this work, we inve…