10 papers
Normalizing Flow-Based Bayesian Parameter Estimation for Noisy Quantum States
Hsien-Yi Hsieh, Yuan-Ting Liu, Juan Camilo Rodrıguez +5
To extract complete information about experimental noisy quantum states, as well as correlations among different physical parameters, we develop an efficient machine learning-assis…
Quantum steering in networks: Measurement-device-independent detection, continuous variables, and practical Gaussian schemes
Shao-Hua Hu, Chung-Yun Hsieh, Huan-Yu Ku +2
We consider quantum steering certification in multipartite networks, with a focus on minimal trust scenarios: all-except-one parties are untrusted and treated device-independently.…
Monitoring Beam Splitter Entanglement using Quantumness
Hua-Li Chen, Hsien-Yi Hsieh, Chien-Ming Wu +2
We report on an experiment in which two independent squeezed vacuum states get entangled by mixing them with a balanced beam splitter. We follow standard practice and use an insepa…
Wigner's Phase Space Current for Variable Beam Splitters -- Phase Space Rotations and Newtonian Trajectories
Ole Steuernagel, Hsien-Yi Hsieh, Hua-Li Chen +1
Beam splitters allow us to superpose two continuous single mode quantum systems. To study the behaviour of beam splitters' strongly mode mixing dynamics we consider variable beam s…
A Sensitive Nonclassicality Certification Functional for Continuous-Variable Systems
Ole Steuernagel, Ray-Kuang Lee
If the phase space-based Glauber-Sudarshan distribution, , has negative values the quantum state, , it describes is nonclassical. Due to 's singular behavi…
Machine Learning for Quantum State Tomography: Robust Covariance Matrix Estimation for Squeezed Vacuum States with Thermal Noise
Juan Camilo Rodrıguez, Hsien-Yi Hsieh, Hua-Li Chen +3
We present a supervised machine learning-based method using convolutional neural networks to estimate the covariance matrix of Gaussian quantum states in the presence of thermal no…
Machine Learning Enhanced Quantum State Tomography on FPGA
Hsun-Chung Wu, Hsien-Yi Hsieh, Zhi-Kai Xu +7
Machine learning techniques have opened new avenues for real-time quantum state tomography (QST). In this work, we demonstrate the deployment of machine learning-based QST onto edg…
Adding or Subtracting a single Photon is the same for Pure Squeezed Vacuum States
Ole Steuernagel, Ray-Kuang Lee
The addition of a single photon to a light field can lead to exactly the same \emph{outcome} as the subtraction of a single photon. We prove that this \cterm is true for pure squee…
Neural Network Enhanced Single-Photon Fock State Tomography
Hsien-Yi Hsieh, Yi-Ru Chen, Jingyu Ning +7
Even though heralded single-photon sources have been generated routinely through the spontaneous parametric down conversion, vacuum and multiple photon states are unavoidably invol…
A Sensitive Quantumness Measure for One-Dimensional Continuous-Variable Systems
Ole Steuernagel, Hsien-Yi Hsieh, Yi-Ru Chen +1
For one-dimensional continuous-variable quantum systems such as single-mode quantum optical systems, we give a quantification of the quantumness of such a system's state, ρ, by int…