activity
20152023
most citedSampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning

106 citations · 386 across the 19 of their papers we have counts for

collaborators
Showing quant-phShow all

10 papers · 1 filter

quant-ph2023★ 2 cited

Implementation of the Density-functional Theory on Quantum Computers with Linear Scaling with respect to the Number of Atoms

Taehee Ko, Xiantao Li, Chunhao Wang

Density-functional theory (DFT) has revolutionized computer simulations in chemistry and material science. A faithful implementation of the theory requires self-consistent calculat…

quant-ph2023★ 2 cited

Efficient Quantum Algorithms for Quantum Optimal Control

Xiantao Li, Chunhao Wang

In this paper, we present efficient quantum algorithms that are exponentially faster than classical algorithms for solving the quantum optimal control problem. This problem involve…

quant-ph2022

Simulating Markovian open quantum systems using higher-order series expansion

Xiantao Li, Chunhao Wang

We present an efficient quantum algorithm for simulating the dynamics of Markovian open quantum systems. The performance of our algorithm is similar to the previous state-of-the-ar…

quant-ph2022★ 1 cited

Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants

Andrew M. Childs, Tongyang Li, Jin-Peng Liu +2

Given a convex function , the problem of sampling from a distribution is called log-concave sampling. This task has wide app…

quant-ph2022★ 48 cited

Thermal State Preparation via Rounding Promises

Patrick Rall, Chunhao Wang, Pawel Wocjan

A promising avenue for the preparation of Gibbs states on a quantum computer is to simulate the physical thermalization process. The Davies generator describes the dynamics of an o…

quant-ph2019

On the Quantum Complexity of Closest Pair and Related Problems

Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin +2

The closest pair problem is a fundamental problem of computational geometry: given a set of points in a -dimensional space, find a pair with the smallest distance. A classic…