Variational quantum algorithms are one of the most promising methods that can be implemented on noisy intermediate-scale quantum (NISQ) machines to achieve a quantum advantage over classical computers. This article describes the use of a variational quantum algorithm in conjunction with the finite difference method for the calculation of propagation modes of an electromagnetic wave in a hollow metallic waveguide. The two-dimensional (2D) waveguide problem, described by the Helmholtz equation, is approximated by a system of linear equations, whose solutions are expressed in terms of simple quantum expectation values that can be evaluated efficiently on quantum hardware. Numerical examples are presented to validate the proposed method for sol...
Recently J. M. Arrazola et al. [Phys. Rev. A 100, 032306 (2019)] proposed a quantum algorithm for so...
A key open question in quantum computing is whether quantum algorithms can potentially offer a signi...
The Green's function has been an indispensable tool to study many-body systems that remain one of th...
There is a recent surge of interest and insights regarding the interplay of quantum optimal control ...
We present a computational framework for canonical quantization in arbitrary inhomogeneous dielectri...
International audienceNumerical simulation may benefits from quantum computing (QC) potential to sol...
Simulating response properties of molecules is crucial for interpreting experimental spectroscopies ...
The variational quantum eigensolver is a prominent hybrid quantum-classical algorithm expected to im...
A variational quantum algorithm for numerically solving partial differential equations (PDEs) on a q...
We proposed a general quantum-computing-based algorithm that harnesses the exponential power of nois...
We analyze a binary classification problem by using a support vector machine based on variational qu...
The variational quantum-classical algorithms are the most promising approach for achieving quantum a...
Current quantum simulators suffer from multiple limitations such as short coherence time, noisy oper...
For a large number of tasks, quantum computing demonstrates the potential for exponential accelerati...
Variational quantum eigensolver (VQE), which attracts attention as a promising application of noisy ...
Recently J. M. Arrazola et al. [Phys. Rev. A 100, 032306 (2019)] proposed a quantum algorithm for so...
A key open question in quantum computing is whether quantum algorithms can potentially offer a signi...
The Green's function has been an indispensable tool to study many-body systems that remain one of th...
There is a recent surge of interest and insights regarding the interplay of quantum optimal control ...
We present a computational framework for canonical quantization in arbitrary inhomogeneous dielectri...
International audienceNumerical simulation may benefits from quantum computing (QC) potential to sol...
Simulating response properties of molecules is crucial for interpreting experimental spectroscopies ...
The variational quantum eigensolver is a prominent hybrid quantum-classical algorithm expected to im...
A variational quantum algorithm for numerically solving partial differential equations (PDEs) on a q...
We proposed a general quantum-computing-based algorithm that harnesses the exponential power of nois...
We analyze a binary classification problem by using a support vector machine based on variational qu...
The variational quantum-classical algorithms are the most promising approach for achieving quantum a...
Current quantum simulators suffer from multiple limitations such as short coherence time, noisy oper...
For a large number of tasks, quantum computing demonstrates the potential for exponential accelerati...
Variational quantum eigensolver (VQE), which attracts attention as a promising application of noisy ...
Recently J. M. Arrazola et al. [Phys. Rev. A 100, 032306 (2019)] proposed a quantum algorithm for so...
A key open question in quantum computing is whether quantum algorithms can potentially offer a signi...
The Green's function has been an indispensable tool to study many-body systems that remain one of th...