73 citations · 402 across the 18 of their papers we have counts for
18 papers
Noise-enhanced quantum kernels on analog quantum computers for estimating the non-Markovianity from sparse temporal data
Hsiang-Wei Huang, Shen-Liang Yang, Chuan-Chi Huang +2
The quantum kernel method, a promising quantum machine learning algorithm, possesses substantial potential for demonstrating a quantum advantage. While most quantum kernels are con…
Unveiling the nonclassicality within quasi-distribution representations through deep learning
Hong-Bin Chen, Cheng-Hua Liu, Kuan-Lun Lai +4
To unequivocally distinguish genuine quantumness from classicality, a widely adopted approach focuses on the negative values of a quasi-distribution representation as compelling ev…
Deep learning the hierarchy of steering measurement settings of qubit-pair states
Hong-Ming Wang, Huan-Yu Ku, Jie-Yien Lin +1
Quantum steering has attracted increasing research attention because of its fundamental importance, as well as its applications in quantum information science. Here we leverage the…
Adaptively partitioned analog quantum simulation on near-term quantum computers: The nonclassical free-induction decay of NV centers in diamond
Yun-Hua Kuo, Hong-Bin Chen
The idea of simulating quantum physics with controllable quantum devices had been proposed several decades ago. With the extensive development of quantum technology, large-scale si…
Photonic non-Markovianity identification by quantum process capabilities of non-CP processes
Chan Hsu, Yu-Chien Kao, Hong-Bin Chen +2
A Markovian quantum process can be arbitrarily divided into two or more legitimate completely-positive (CP) subprocesses. When at least one non-CP process exists among the divided…
Maxwell's two-demon engine under pure dephasing noise
Feng-Jui Chan, Yi-Te Huang, Jhen-Dong Lin +4
The interplay between thermal machines and quantum correlations is of great interest in both quantum thermodynamics and quantum information science. Recently, a quantum Szilárd eng…