The need of computational power for engineering applications has been ever increasing and with classical computers approaching their physical limits, new ways of improvement have to be investigated. One of the promising solutions is quantum computing. Most engineering problems require solving a system of linear equations of higher dimensions and the Variational Quantum Linear Solver (VQLS) algorithm seems like a promising near term solution. This algorithm evaluates a cost function on a quantum machine and uses a classical optimizer to minimize this cost function. The minimum of this cost function corresponds to the solution of the linear system. This work aims at finding what the practical limitations are when solving the Poisson equation ...
Computer simulations of certain natural phenomena are computationally expensive on a classical compu...
Quantum computing uses the physical principles of very small systems to develop computing platforms ...
Simulating response properties of molecules is crucial for interpreting experimental spectroscopies ...
This research investigates the possibility of solving one dimensional Poisson's equation on quantum ...
In this thesis, I make a comparison of two quantum algorithms for solving systems of linear equation...
Recent advances in quantum computing and their increased availability has led to a growing interest ...
The Poisson equation occurs in many areas of science and engineering. Here we focus on its numerical...
The Poisson equation has many applications across the broad areas of science and engineering. Most q...
Since we are entering the Post-Moore Law era and consequently the limit of Von Neumann's architectur...
Despite the raw computational power of classical computers, some problems require an exponential amo...
We proposed a general quantum-computing-based algorithm that harnesses the exponential power of nois...
Variational quantum algorithms have been one of the most intensively studied applications for near-t...
Applications such as simulating complicated quantum systems or solving large-scale linear algebra pr...
Funding Information: The authors thank Alexey A. Melnikov for reviewing the manuscript and providing...
Solving systems of linear equations is one of the most important primitives in quantum computing tha...
Computer simulations of certain natural phenomena are computationally expensive on a classical compu...
Quantum computing uses the physical principles of very small systems to develop computing platforms ...
Simulating response properties of molecules is crucial for interpreting experimental spectroscopies ...
This research investigates the possibility of solving one dimensional Poisson's equation on quantum ...
In this thesis, I make a comparison of two quantum algorithms for solving systems of linear equation...
Recent advances in quantum computing and their increased availability has led to a growing interest ...
The Poisson equation occurs in many areas of science and engineering. Here we focus on its numerical...
The Poisson equation has many applications across the broad areas of science and engineering. Most q...
Since we are entering the Post-Moore Law era and consequently the limit of Von Neumann's architectur...
Despite the raw computational power of classical computers, some problems require an exponential amo...
We proposed a general quantum-computing-based algorithm that harnesses the exponential power of nois...
Variational quantum algorithms have been one of the most intensively studied applications for near-t...
Applications such as simulating complicated quantum systems or solving large-scale linear algebra pr...
Funding Information: The authors thank Alexey A. Melnikov for reviewing the manuscript and providing...
Solving systems of linear equations is one of the most important primitives in quantum computing tha...
Computer simulations of certain natural phenomena are computationally expensive on a classical compu...
Quantum computing uses the physical principles of very small systems to develop computing platforms ...
Simulating response properties of molecules is crucial for interpreting experimental spectroscopies ...