30 citations · 31 across the 11 of their papers we have counts for
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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…
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…
Quantum Transfer Learning Shows Improved Robustness in Low-Data Regimes
Li-An Lo, Li-Yi Hsu, Hsien-Yi Hsieh
Transfer learning under limited data is a challenging setting, where models must adapt to new tasks with minimal supervision. Prior work has primarily focused on improving absolute…
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…
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…
Generation of heralded optical `Schroedinger cat' states by photon-addition
Yi-Ru Chen, Hsien-Yi Hsieh, Jingyu Ning +7
Optical "Schrödinger cat" states, the non-classical superposition of two quasi-classical coherent states, serve as a basis for gedanken experiments testing quantum physics on mesos…
Direct parameter estimations from machine-learning enhanced quantum state tomography
Hsien-Yi Hsieh, Jingyu Ning, Yi-Ru Chen +4
With the capability to find the best fit to arbitrarily complicated data patterns, machine-learning (ML) enhanced quantum state tomography (QST) has demonstrated its advantages in…
Experimental Demonstration of Topological Charge Protection in Wigner Current
Yi-Ru Chen, Hsien-Yi Hsieh, Jingyu Ning +7
We experimentally reconstruct Wigner's current of quantum phase space dynamics for the first time. We reveal the ``push-and-pull" associated with damping and diffusion due to the c…
Extract the Degradation Information in Squeezed States with Machine Learning
Hsien-Yi Hsieh, Yi-Ru Chen, Hsun-Chung Wu +5
In order to leverage the full power of quantum noise squeezing with unavoidable decoherence, a complete understanding of the degradation in the purity of squeezed light is demanded…