3 citations · 3 across the 1 of their papers we have counts for
6 papers
Estimating Local Observables via Cluster-Level Light-Cone Decomposition
Junxiang Huang, Yunxin Tang, Xiao Yuan
Simulating large quantum circuits on hardware with limited qubit counts is often attempted through methods like circuit knitting, which typically incur sample costs that grow expon…
Efficient Quantum Simulation of Non-Adiabatic Molecular Dynamics with Precise Electronic Structure
Tianyi Li, Yumeng Zeng, Qiming Ding +6
In the study of non-adiabatic chemical processes such as photocatalysis and photosynthesis, non-adiabatic molecular dynamics (NAMD) is an indispensable theoretical tool, which requ…
Digital adiabatic evolution is universally accurate
Yangyu Lu, Yifei Huang, Dong An +3
Adiabatic evolution is a central paradigm in quantum physics. Digital simulations of adiabatic processes are generally viewed as costly, since algorithmic errors typically accumula…
Efficient Preparation of Quantum States via Randomized Truncation
Yue Wang, Xiao-Ming Zhang, Xiao Yuan +1
While the preparation of a general quantum state is challenging, realistic problem instances, such as those encountered in quantum chemistry and quantum machine learning-typically…
Computing n-time correlation functions without ancilla qubits
Xiaoyang Wang, Long Xiong, Xiaoxia Cai +1
The -time correlation function is pivotal for establishing connections between theoretical predictions and experimental observations of a quantum system. Conventional methods fo…
Exponentially reduced circuit depths in Lindbladian simulation
Wenjun Yu, Xiaogang Li, Qi Zhao +1
Quantum computers can efficiently simulate Lindbladian dynamics, enabling powerful applications in open system simulation, thermal and ground-state preparation, autonomous quantum…