activity
20122023
most citedData-driven parameterization of the generalized Langevin equation

152 citations · 506 across the 51 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

quant-ph2021★ 15 cited

On quantum algorithms for the Schrödinger equation in the semi-classical regime

Shi Jin, Xiantao Li, Nana Liu

Solving the time-dependent Schrödinger equation is an important application area for quantum algorithms. We consider Schrödinger's equation in the semi-classical regime. Here the s…

quant-ph2021★ 3 cited

Some Error Analysis for the Quantum Phase Estimation Algorithms

Xiantao Li

This paper is concerned with the phase estimation algorithm in quantum computing algorithms, especially the scenarios where (1) the input vector is not an eigenvector; (2) the unit…

quant-ph2021★ 8 cited

Succinct Description and Efficient Simulation of Non-Markovian Open Quantum Systems

Xiantao Li, Chunhao Wang

Non-Markovian open quantum systems represent the most general dynamics when the quantum system is coupled with a bath environment. The quantum dynamics arising from many important…

quant-ph2021★ 4 cited

A Partially Random Trotter Algorithm for Quantum Hamiltonian Simulations

Shi Jin, Xiantao Li

Given the Hamiltonian, the evaluation of unitary operators has been at the heart of many quantum algorithms. Motivated by existing deterministic and random methods, we present a hy…

math.NA2021★ 5 cited

Stochastic Algorithms for Self-consistent Calculations of Electronic Structures

Taehee Ko, Xiantao Li

The convergence property of a stochastic algorithm for the self-consistent field (SCF) calculations of electron structures is studied. The algorithm is formulated by rewriting the…

physics.comp-ph2021★ 1 cited

A Projection-based Reduced-order Method for Electron Transport Problems with Long-range Interactions

Weiqi Chu, Xiantao Li

Long-range interactions play a central role in electron transport. At the same time, they present a challenge for direct computer simulations, since sufficiently large portions of…

cs.LG2021★ 2 cited

Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Itô Diffusions

He Zhang, John Harlim, Xiantao Li

This paper studies the theoretical underpinnings of machine learning of ergodic Itô diffusions. The objective is to understand the convergence properties of the invariant statistic…

math.NA2021★ 1 cited

Projection based model reduction for the immersed boundary method

Yushuang Luo, Xiantao Li, Wenrui Hao

Fluid-structure interactions are central to many bio-molecular processes, and they impose a great challenge for computational and modeling methods. In this paper, we consider the i…

math.NA2021★ 1 cited

A Machine-Learning Method for Time-Dependent Wave Equations over Unbounded Domains

Changjian Xie, Jingrun Chen, Xiantao Li

Time-dependent wave equations represent an important class of partial differential equations (PDE) for describing wave propagation phenomena, which are often formulated over unboun…