30 citations · 38 across the 7 of their papers we have counts for
7 papers
Grassmann Time-Evolving Matrix Product Operators for Quantum Impurity Models
Ruofan Chen, Xiansong Xu, Chu Guo
The time-evolving matrix product operators (TEMPO) method, which makes full use of the Feynman-Vernon influence functional, is the state-of-the-art tensor network method for bosoni…
Solving Schrödinger Equation with a Language Model
Honghui Shang, Chu Guo, Yangjun Wu +2
Accurately solving the Schrödinger equation for intricate systems remains a prominent challenge in physical sciences. A paradigm-shifting approach to address this challenge involve…
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry
Yangjun Wu, Chu Guo, Yi Fan +2
Neural network quantum state (NNQS) has emerged as a promising candidate for quantum many-body problems, but its practical applications are often hindered by the high cost of sampl…
A sequentially generated variational quantum circuit with polynomial complexity
Xiaokai Hou, Qingyu Li, Man-Hong Yung +4
Variational quantum algorithms have been a promising candidate to utilize near-term quantum devices to solve real-world problems. The powerfulness of variational quantum algorithms…
Towards practical and massively parallel quantum computing emulation for quantum chemistry
Honghui Shang, Yi Fan, Li Shen +5
Quantum computing is moving beyond its early stage and seeking for commercial applications in chemical and biomedical sciences. In the current noisy intermediate-scale quantum comp…
Quantum State Tomography Inspired by Language Modeling
Lu Zhong, Chu Guo, Xiaoting Wang
Quantum state tomography is an elementary tool to fully characterize an unknown quantum state. As the quantum hardware scales up in size, the standard quantum state tomography beco…
Density matrix reconstruction using non-negative matrix product states
Donghong Han, Chu Guo, Xiaoting Wang
Quantum state tomography is a key technique for quantum information processing, but is challenging due to the exponential growth of its complexity with the system size. In this wor…