Background: The future computations need parallelism, and a way to achieve the same is
through quantum-based specific properties. Quantum computation supports exponential operation to
be performed in parallel over a single execution step and hence achieves computational speedup.
Objective: One of the quantum-based algorithms allows to search the key element over an index
based unstructured database and succeeds to obtain the speedup. In the whole context of article writing,
our approach reviews the significance of quantum computing, the basics required for quantum
computation and their quantum logic-based circuit operations.
Methods: The article focuses on Grover’s search algorithm and its variations, and then illustrates the
relevant amplitude amplification & phase matching techniques in accordance with the advantages
and limitation to the specific perspective.
Results: We made the comparative analysis between the amplitude amplification-based static &
dynamic Grover’s searching and phase estimation technique. Along with this, we justified the possibilities
of the empirical results and observed facts over Grover’s variant approaches.
Conclusion: Finally, we conclude the analytical comparison between quantum-based searching
techniques along with the applicability of Grover’s algorithm in practical computational science.