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20222026
most citedQuantum simulation of partial differential equations via Schrodingerisation: technical details

87 citations · 179 across the 30 of their papers we have counts for

collaborators

32 papers

quant-ph2026

Wavelength-Uniform Quantum Algorithms for Mixed-State Quantum Dynamics

Shi Jin, Chuwen Ma

One of the main challenges in numerical simulation of quantum dynamics is the prohibitive cost in the semi-classical regime, in which the de Broglie wave length is small compared w…

math.NA2026

Quantum Simulation of Stokes Flow via Schrödingerisation and Artificial Compressibility

Shi Jin, Jiaqi Tang, Qilong Zhai +1

Simulating incompressible Stokes flow is essential for studies in microfluidics and low-Reynolds number hydrodynamics. However, the computational cost of resolving the associated s…

math.NA2026

Schrödingerization based quantum algorithms for regularized Wasserstein proximal operators

Shi Jin, Nana Liu, Yue Yu

We develop a quantum algorithm for the regularized Wasserstein proximal operator, which is a fundamental tool in optimal transport and mean-field games. The regularization introduc…

quant-ph2026

Quantum simulation of the Liouville equation in classical mechanics with discontinuous potential via Schrödingerization

Shi Jin, Shuyi Zhang

We develop quantum simulation algorithms for the Liouville equation of classical mechanics with discontinuous potential. Such discontinuities represent potential barriers at which…

math.NA2026

Young Measure Based Quantum Linear Programming Algorithms for Nonlinear/Stochastic Multiscale Partial Differential Equations and Homogenization

Siqi Chen, Shi Jin, Lei Zhang

We study quantum algorithms for nonlinear and stochastic homogenization via a Young-measure based linear programming (LP) formulation, which lifts the nonlinear problem to a linear…

quant-ph2026

Analog photonic simulator for large-scale transport

Mengyu Zhao, Xuezhi Zhu, Nikita Guseynov +9

Transport equations describe how physical quantities -- such as mass, energy, momentum, concentration, probability, or fields -- are carried, propagated, or redistributed through s…

math.NA2026

Quantum Implicit-Explicit Schemes for Multiscale Ordinary and Partial Differential Equations via Schrödingerization

Qitong Hu, Xiaoyang He, Shi Jin +1

In this paper, we present a quantum implicit-explicit (IMEX) scheme for multiscale ordinary and partial differential equations whose discretization parameters are independent of th…

quant-ph2026

Hybrid quantum-classical algorithms for complex nonlinear partial differential equations with Ginzburg-Landau potential and vortex motion laws

Shi Jin, Nana Liu, Chuwen Ma

We propose quantum algorithms for complex-valued nonlinear partial differential equations in the strongly nonlinear regime, where the dynamics is governed by vortex cores, phase si…

quant-ph2026

Quantum algorithms for Young measures: applications to nonlinear partial differential equations

Shi Jin, Nana Liu, Maria Lukacova-Medvidova +1

Many nonlinear PDEs have singular or oscillatory solutions or may exhibit physical instabilities or uncertainties. This requires a suitable concept of physically relevant generaliz…

quant-ph2026

Quantum simulation of Liouville equation in geometrical optics with partial transmission and reflection via Schrödingerization

Shi Jin, Shuyi Zhang

This paper investigates quantum simulation algorithms for the Liouville equation in geometrical optics with partial transmission and reflection at sharp interfaces, based on the Sc…

quant-ph2025

Quantum algorithms for viscosity solutions to nonlinear Hamilton-Jacobi equations based on an entropy penalisation method

Shi Jin, Nana Liu

We present a framework for efficient extraction of the viscosity solutions of nonlinear Hamilton-Jacobi equations with convex Hamiltonians. These viscosity solutions play a central…

quant-ph2025

Quantum Random Feature Method for Solving Partial Differential Equations

Junpeng Hu, Shi Jin, Nana Liu +1

Quantum computing holds significant promise for scientific computing due to its potential for polynomial to even exponential speedups over classical methods, which are often hinder…

math.NA2025

Schrodingerization based quantum algorithms for the time-fractional heat equation

Shi Jin, Nana Liu, Yue Yu

We develop a quantum algorithm for solving high-dimensional time-fractional heat equations. By applying the dimension extension technique from [FKW23], the -dimensional time-f…

quant-ph2025★ 1 cited

Quantum Neural Ordinary and Partial Differential Equations

Yu Cao, Shi Jin, Nana Liu

We introduce a unified framework -- Quantum Neural Ordinary and Partial Differential Equations (QNODEs and QNPDEs) -- which extends the continuous-time formalism of classical neura…

math.NA2025

Schrödingerization based quantum algorithms for the fractional Poisson equation

Shi Jin, Nana Liu, Yue Yu

We develop a quantum algorithm for solving high-dimensional fractional Poisson equations. By applying the Caffarelli-Silvestre extension, the -dimensional fractional equation is…

math.NA2025

Quantum preconditioning method for finite difference discretizations of the Poisson equation via Schrödingerization

Shi Jin, Nana Liu, Chuwen Ma +1

We present a quantum preconditioning framework for solving linear systems arising from a finite difference discretization of the Poisson equation. It is based on the combination of…

math.NA2025

On the Schrödingerization method for linear non-unitary dynamics with optimal dependence on matrix queries

Shi Jin, Nana Liu, Chuwen Ma +2

The Schrödingerization method converts linear partial and ordinary differential equations with non-unitary dynamics into systems of Schrödinger-type equations with unitary evolutio…

quant-ph2025

A quantum gradient descent algorithm for optimizing Gaussian Process models

Junpeng Hu, Jinglai Li, Lei Zhang +1

Gaussian Process Regression (GPR) is a nonparametric supervised learning method, widely valued for its ability to quantify uncertainty. Despite its advantages and broad application…

math.NA2025

Quantum simulation of a class of highly-oscillatory transport equations via Schrödingerisation

Anjiao Gu, Shi Jin

In this paper, we present quantum algorithms for a class of highly-oscillatory transport equations, which arise in semiclassical computation of surface hopping problems and other r…

quant-ph2024

Quantum Algorithms for Stochastic Differential Equations: A Schrödingerisation Approach

Shi Jin, Nana Liu, Wei Wei

Quantum computers are known for their potential to achieve up-to-exponential speedup compared to classical computers for certain problems. To exploit the advantages of quantum comp…

quant-ph2024

Schrödingerization based Quantum Circuits for Maxwell's Equation with time-dependent source terms

Chuwen Ma, Shi Jin, Nana Liu +2

The Schrödingerisation method combined with the autonomozation technique in \cite{cjL23} converts general non-autonomous linear differential equations with non-unitary dynamics int…

quant-ph2024★ 3 cited

Unifying framework for quantum simulation algorithms for time-dependent Hamiltonian dynamics

Yu Cao, Shi Jin, Nana Liu

Recently, there has been growing interest in simulating time-dependent Hamiltonians using quantum algorithms, driven by diverse applications, such as quantum adiabatic computing. W…

quant-ph2024★ 1 cited

Analog quantum simulation of parabolic partial differential equations using Jaynes-Cummings-like models

Shi Jin, Nana Liu

We present a simplified analog quantum simulation protocol for preparing quantum states that embed solutions of parabolic partial differential equations, including the heat, Black-…

quant-ph2024★ 1 cited

Quantum Circuits for the heat equation with physical boundary conditions via Schrodingerisation

Shi Jin, Nana Liu, Yue Yu

This paper explores the explicit design of quantum circuits for quantum simulation of partial differential equations (PDEs) with physical boundary conditions. These equations and/o…