71 citations · 455 across the 36 of their papers we have counts for
5 papers · 1 filter
Unitary-Coupled Restricted Boltzmann Machine Ansatz for Quantum Simulations
Chang-yu Hsieh, Qiming Sun, Shengyu Zhang +1
Neural-Network Quantum State (NQS) has attracted significant interests as a powerful wave-function ansatz to model quantum phenomena. In particular, a variant of NQS based on the r…
Contextual Combinatorial Conservative Bandits
Xiaojin Zhang, Shuai Li, Weiwen Liu +1
The problem of multi-armed bandits (MAB) asks to make sequential decisions while balancing between exploitation and exploration, and have been successfully applied to a wide range…
Deep Learning for Optoelectronic Properties of Organic Semiconductors
Chengqiang Lu, Qi Liu, Qiming Sun +4
Atomistic modeling of energetic disorder in organic semiconductors (OSCs) and its effects on the optoelectronic properties of OSCs requires a large number of excited-state electron…
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh +9
We introduce a new molecular dataset, named Alchemy, for developing machine learning models useful in chemistry and material science. As of June 20th 2019, the dataset comprises of…
Non-Markovian Noise Characterization with the Transfer Tensor Method
Yu-Qin Chen, Kai-Li Ma, Yi-Cong Zheng +3
We propose simple protocols for performing quantum noise spectroscopy based on the method of transfer tensor maps (TTM), [Phys. Rev. Lett. 112, 110401 (2014)]. The TTM approach is…