In this paper, we introduce some new quantum numerical techniques of midpoint and trapezoidal type essentially by using the decomposition technique. We also check the order of convergence of our suggested iterative methods. Numerical examples demonstrate that the new q-iterative methods can generate solutions to the nonlinear equations with acceptable accuracy
Ordinary approach to quantum algorithm is based on quantum Turing machine or quantum circuits. It is...
The q-difference equations are important in q-calculus. In this paper, we apply the iterative method...
Significance Nonlinear differential equations appear in many domains and are notoriously ...
In this paper, we analyze the q-iterative schemes to determine the roots of nonlinear equations by a...
Quantum calculus (also known as the q-calculus) is a technique that is similar to traditional calcul...
When faced with a quantum-solving problem for partial differential equations, people usually transfo...
In recent years, significant progress has been made in the development of quantum algorithms for lin...
Optimization problems in disciplines such as machine learning are commonly solved with iterative met...
We present quantum numerical methods for the typical initial boundary value problems (IBVPs) of conv...
Quantum computing has attracted significant interest in the optimization community because it potent...
Various problems of pure and applied sciences can be studied in the unified framework of nonlinear e...
A plethora of quantum physics problems are related to symmetry principles. Moreover, by using symmet...
We show that nonlinear problems including nonlinear partial di↵erential equations can be e- ciently ...
In this thesis, I make a comparison of two quantum algorithms for solving systems of linear equation...
The hypercomputers compute functions or numbers, or more generally solve problems or carry out tasks...
Ordinary approach to quantum algorithm is based on quantum Turing machine or quantum circuits. It is...
The q-difference equations are important in q-calculus. In this paper, we apply the iterative method...
Significance Nonlinear differential equations appear in many domains and are notoriously ...
In this paper, we analyze the q-iterative schemes to determine the roots of nonlinear equations by a...
Quantum calculus (also known as the q-calculus) is a technique that is similar to traditional calcul...
When faced with a quantum-solving problem for partial differential equations, people usually transfo...
In recent years, significant progress has been made in the development of quantum algorithms for lin...
Optimization problems in disciplines such as machine learning are commonly solved with iterative met...
We present quantum numerical methods for the typical initial boundary value problems (IBVPs) of conv...
Quantum computing has attracted significant interest in the optimization community because it potent...
Various problems of pure and applied sciences can be studied in the unified framework of nonlinear e...
A plethora of quantum physics problems are related to symmetry principles. Moreover, by using symmet...
We show that nonlinear problems including nonlinear partial di↵erential equations can be e- ciently ...
In this thesis, I make a comparison of two quantum algorithms for solving systems of linear equation...
The hypercomputers compute functions or numbers, or more generally solve problems or carry out tasks...
Ordinary approach to quantum algorithm is based on quantum Turing machine or quantum circuits. It is...
The q-difference equations are important in q-calculus. In this paper, we apply the iterative method...
Significance Nonlinear differential equations appear in many domains and are notoriously ...