This study focuses on fitting sinusoidal mathematical models to a set of measured data points by minimizing the least squares difference between data points and the model. We investigated the impact ...

Quantum computational chemistry has emerged as a potential application of quantum computing. Hybrid quantum-classical computing methods, such as variational quantum eigensolvers, have been designed as ...