5 papers
Hypothesis testing between quantum ensembles
Jian Yao, Quntao Zhuang
Quantum state ensembles are important in quantum information processing. For example, quantum -designs model highly entangled states in complex systems, while projected ensemble…
Correlated Noise Estimation with Quantum Sensor Networks
Anthony J. Brady, Yu-Xin Wang, Victor V. Albert +2
We address the metrological problem of estimating collective stochastic properties imprinted on a network of quantum sensors. Canonical examples include center-of-mass quadrature f…
Hierarchy of discriminative power and complexity in learning quantum ensembles
Jian Yao, Pengtao Li, Xiaohui Chen +1
Distance metrics are central to machine learning, yet distances between ensembles of quantum states remain poorly understood due to fundamental quantum measurement constraints. We…
Many-Body Anti-Zeno Thermalization and Zeno Determinism in Monitored Hamiltonian Dynamics
Jia-Jin Feng, Quntao Zhuang
Random quantum states are essential for quantum information science, with applications ranging from quantum computing to cryptography. Prior approaches for generating these states…
Physical-Layer Machine Learning with Multimode Interferometric Photon Counting
Jia-Jin Feng, Anthony J. Brady, Quntao Zhuang
The learning of the physical world relies on sensing and data post-processing. When the signals are weak, multidimensional and correlated, the performance of learning is often bott…