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Optimizing Project Management With Quantum Networked AI
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Author(s): Prashant Geete (Acropolis Institute of Technology and Research, Indore, India), Mohammad Salameh Almahairah (Isra University, Jordan), Vijilius Helena Raj (New Horizon College of Engineering, India), K. Laxminarayanamma (Institute of Aeronautical Engineering, Hyderabad, India), Ginni Nijhawan (Lovely Professional University, India)and Joshuva Arockia Dhanraj (Chandigarh University, India)
Copyright: 2025
Pages: 18
Source title:
Multidisciplinary Applications of AI and Quantum Networking
Source Author(s)/Editor(s): Christo Ananth (Samarkand State University, Uzbekistan), Osamah Ibrahim Khalaf (Al-Nahrain University, Iraq)and Jose Anand (KCG College of Technology, India)
DOI: 10.4018/979-8-3693-9336-9.ch018
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Abstract
When it comes to managing complex and large-scale systems, traditional design operation methodologies typically suffer from limitations in computational capacity and data processing skill. Combining the immense processing power of quantum computing with the sophisticated logical capabilities of artificial intelligence yields a groundbreaking result in quantum networked artificial intelligence. This community's ability to support real-time data analysis, prophetic modeling, and improved decision-making perfects the efficacy, delicacy, and inflexibility of design processes. This research looks at the potential strategic advantages and performance gains from applying a quantum of networked artificial intelligence at different phases of the design process. Planning, prosecution, monitoring, and completion are some of these phases. In this study, the authors compare typical design operation tools with systems that have been capacity-boosted, highlighting significant improvements in resource allocation.
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