When faced with a quantum-solving problem for partial differential equations, people usually transform such problems into Hamiltonian simulation problems or quantum-solving problems for linear equation systems. In this paper, we propose a third approach to solving partial differential equations that differs from the two approaches. By using the duality quantum algorithm, we construct a quantum-solving algorithm for solving the first-order wave equation, which represents a typical class of partial differential equations. Numerical results of the quantum circuit have high precision consistency with the theoretical d’Alembert solution. Then the routine is applied to the wave equation with either a dissipation or dispersion term. As shown by co...
We give polynomial-time quantum algorithms for two problems from computational algebraic number theo...
Recently (2009) a quantum algorithm for solving a system of linear equations has been proposed. The ...
none6siQuantum algorithms for differential equation solving, data processing, and machine learning p...
Quantum computers can produce a quantum encoding of the solution of a system of differential equatio...
Linear differential equations are ubiquitous in science and engineering. Quantum computers can simul...
Identifying computational tasks suitable for (future) quantum computers is an active field of resear...
Structural mechanics is commonly modeled by (systems of) partial differential equations (PDEs). Exce...
We present quantum numerical methods for the typical initial boundary value problems (IBVPs) of conv...
Significance Nonlinear differential equations appear in many domains and are notoriously ...
The Poisson equation occurs in many areas of science and engineering. Here we focus on its numerical...
In recent years, significant progress has been made in the development of quantum algorithms for lin...
This thesis describes quantum algorithms for Hamiltonian simulation, ordinary differential equations...
With the rapid development of Quantum Computers (QC) and QC Simulators, there will be an increased d...
In this thesis, I make a comparison of two quantum algorithms for solving systems of linear equation...
Quantum computation is a subject born out of the combination between physics and computer science. I...
We give polynomial-time quantum algorithms for two problems from computational algebraic number theo...
Recently (2009) a quantum algorithm for solving a system of linear equations has been proposed. The ...
none6siQuantum algorithms for differential equation solving, data processing, and machine learning p...
Quantum computers can produce a quantum encoding of the solution of a system of differential equatio...
Linear differential equations are ubiquitous in science and engineering. Quantum computers can simul...
Identifying computational tasks suitable for (future) quantum computers is an active field of resear...
Structural mechanics is commonly modeled by (systems of) partial differential equations (PDEs). Exce...
We present quantum numerical methods for the typical initial boundary value problems (IBVPs) of conv...
Significance Nonlinear differential equations appear in many domains and are notoriously ...
The Poisson equation occurs in many areas of science and engineering. Here we focus on its numerical...
In recent years, significant progress has been made in the development of quantum algorithms for lin...
This thesis describes quantum algorithms for Hamiltonian simulation, ordinary differential equations...
With the rapid development of Quantum Computers (QC) and QC Simulators, there will be an increased d...
In this thesis, I make a comparison of two quantum algorithms for solving systems of linear equation...
Quantum computation is a subject born out of the combination between physics and computer science. I...
We give polynomial-time quantum algorithms for two problems from computational algebraic number theo...
Recently (2009) a quantum algorithm for solving a system of linear equations has been proposed. The ...
none6siQuantum algorithms for differential equation solving, data processing, and machine learning p...