activity
20202024
most citedOn the energy landscape of symmetric quantum signal processing

55 citations · 140 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2024★ 4 cited

Infinite quantum signal processing for arbitrary Szegő functions

Michel Alexis, Lin Lin, Gevorg Mnatsakanyan +2

We provide a complete solution to the problem of infinite quantum signal processing for the class of Szegő functions, which are functions that satisfy a logarithmic integrability c…

quant-ph2023★ 1 cited

Robust iterative method for symmetric quantum signal processing in all parameter regimes

Yulong Dong, Lin Lin, Hongkang Ni +1

This paper addresses the problem of solving nonlinear systems in the context of symmetric quantum signal processing (QSP), a powerful technique for implementing matrix functions on…

quant-ph2022★ 15 cited

Infinite quantum signal processing

Yulong Dong, Lin Lin, Hongkang Ni +1

Quantum signal processing (QSP) represents a real scalar polynomial of degree using a product of unitary matrices of size , parameterized by real numbers cal…

quant-ph2022★ 11 cited

Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation

Dong An, Di Fang, Stephen Jordan +3

Nonlinear differential equations exhibit rich phenomena in many fields but are notoriously challenging to solve. Recently, Liu et al. [1] demonstrated the first efficient quantum a…

quant-ph2021★ 55 cited

On the energy landscape of symmetric quantum signal processing

Jiasu Wang, Yulong Dong, Lin Lin

Symmetric quantum signal processing provides a parameterized representation of a real polynomial, which can be translated into an efficient quantum circuit for performing a wide ra…

quant-ph2020★ 54 cited

Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance

Dong An, Noah Linden, Jin-Peng Liu +3

Inspired by recent progress in quantum algorithms for ordinary and partial differential equations, we study quantum algorithms for stochastic differential equations (SDEs). Firstly…