37 citations · 38 across the 5 of their papers we have counts for
6 papers
Quantum state tomography via non-convex Riemannian gradient descent
Ming-Chien Hsu, En-Jui Kuo, Wei-Hsuan Yu +2
The recovery of an unknown density matrix of large size requires huge computational resources. The recent Factored Gradient Descent (FGD) algorithm and its variants achieved state-…
Entanglement cost in topological stabilizer models at finite temperature
Tsung-Cheng Lu, En-Jui Kuo, Hung-Hwa Lin
The notion of entanglement has been useful for characterizing universal properties of quantum phases of matter. From the perspective of quantum information theory, it is tempting t…
Decoding conformal field theories: from supervised to unsupervised learning
En-Jui Kuo, Alireza Seif, Rex Lundgren +2
We use machine learning to classify rational two-dimensional conformal field theories. We first use the energy spectra of these minimal models to train a supervised learning algori…
Quantum Architecture Search via Deep Reinforcement Learning
En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen
Recent advances in quantum computing have drawn considerable attention to building realistic application for and using quantum computers. However, designing a suitable quantum circ…
Halperin states can produce any filling fractions
En-Jui Kuo
We study bilayer Fractional Quantum Hall State also known as Halperin state. We prove that for any filling fractions (positive rational numbers), there are infinite solutions that…
Learning Molecular Dynamics with Simple Language Model built upon Long Short-Term Memory Neural Network
Sun-Ting Tsai, En-Jui Kuo, Pratyush Tiwary
Recurrent neural networks (RNNs) have led to breakthroughs in natural language processing and speech recognition, wherein hundreds of millions of people use such tools on a daily b…