METHODS AND SOLUTIONS FOR GENERALIZING AMPLITUDE AMPLIFICATION IN QUANTUM ALGORITHMS
Keywords:
quantum computing, amplitude gain, Grover's algorithm, optimization, quantum noise, hybrid algorithmsAbstract
This paper explores advanced methods for generalizing
amplitude amplification in quantum algorithms beyond the traditional Grover's
Algorithm framework. The study demonstrates how generalized amplitude
amplification improves efficiency across a broader class of quantum search and
optimization problems. Key challenges such as quantum noise, scalability, and
limited quantum resources are addressed through innovative circuit design and adaptive amplification strategies. The proposed methods enable robust and
flexible integration into large-scale quantum applications. This work establishes
a foundation for applying generalized quantum techniques to complex scientific
and industrial problems.
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