Year: 2026
Type: article
Abstract: This paper explores advanced methods for generalizingamplitude amplification in quantum algorithms beyond the traditional Grover'sAlgorithm framework. The study demonstrates how generalized amplitudeamplification improves efficiency across a broader class of quantum search andoptimization problems. Key challenges such as quantum noise, scalability, andlimited quantum resources are addressed through innovative circuit design and adaptive amplification strategies. The proposed methods enable robust andflexible integration into large-scale quantum applications. This work establishesa foundation for applying generalized quantum techniques to complex scientificand industrial problems.
Authors: Sh.A.Toirov, T.E.Xudoyqulov
Institution: Tashkent Institute of Management and Economics
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7218193741