The Future of Artificial General Intelligence (AGI): Quantum–AI Synergy for Human-Like Cognitive Systems
DOI:
https://doi.org/10.53762/grjnst.03.04.23Keywords:
AGI, artificial intelligence, cognitive systems, quantum computing, quantum–AI synergy, self-learningAbstract
The future of Artificial General Intelligence (AGI) lies in the fusion of quantum computing and artificial intelligence, creating a synergistic framework capable of human-like cognitive reasoning and adaptability. This study examined how quantum–AI integration enhances computational efficiency, learning capacity, and contextual understanding beyond the limits of classical AI systems. The findings highlighted that quantum-inspired neural networks, through their ability to process complex data in parallel, can enable AGI systems to simulate decision-making, perception, and self-learning in a manner closer to human cognition. Moreover, the research emphasized the ethical and governance challenges that accompany such advancements, including issues of transparency, control, and the moral implications of autonomous systems. The study proposed that responsible innovation, combined with interdisciplinary collaboration, is essential for aligning AGI’s development with societal values and global policy frameworks. Overall, the quantum–AI synergy was found to be a critical driver toward achieving general intelligence, offering unprecedented potential for innovation across scientific, industrial, and educational domains while raising profound ethical considerations for the future of human–machine coexistence.
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Copyright (c) 2025 Muhammad Umar Khan, Dr. Muhammad Khalid, Muhammad Burhan Azam, Adnan Ahmed Rafique, Yasir Javaid (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.



