Harnessing Quantum Power: Innovations in Optimization Algorithms


Authors : Aditya Singh Chauhan; Ayush Singh; Raja Thakur; Vaibhav Kant Singh

Volume/Issue : Volume 9 - 2024, Issue 3 - March


Google Scholar : https://tinyurl.com/36wu6b74

Scribd : https://tinyurl.com/43j5ej93

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAR1704

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Quantum computing stands at the forefront of technological advancement, offering promises of unprecedented computational power and efficiency. Among its myriad applications, quantum algorithms for optimization problems have emerged as a beacon of hope for tackling complex challenges that classical computers struggle to address. This Paper delves into the realm of quantum algorithms tailored for optimization problems, exploring their theoretical foundations, practical implications, and potential transformative impact across diverse domains.

Quantum computing stands at the forefront of technological advancement, offering promises of unprecedented computational power and efficiency. Among its myriad applications, quantum algorithms for optimization problems have emerged as a beacon of hope for tackling complex challenges that classical computers struggle to address. This Paper delves into the realm of quantum algorithms tailored for optimization problems, exploring their theoretical foundations, practical implications, and potential transformative impact across diverse domains.

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