30 citations · 31 across the 6 of their papers we have counts for
6 papers
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…
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…