A novel framework for Shot number minimization in Quantum Variational Algorithms

Understand

Variational Quantum Algorithms (VQAs) have gained significant attention as a potential solution for various quantum computing applications in the near term.

• However, implementing these algorithms on quantum devices often necessitates a substantial number of measurements, resulting in time-consuming and resource-intensive processes.
• This paper presents a generalized framework for optimization algorithms aiming to reduce the number of shot evaluations in VQAs.
• The proposed framework combines an estimator and an optimizer.