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@article{171931,
        author = {Adarsh Sharma and Dr. Ashima Narang},
        title = {Artificial Intelligence Computing at the Quantum Level},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1473-1478},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171931},
        abstract = {Recently, Artificial Intelligence and Quantum Computing have emerged as a promising frontier that promises to bring about a transformation in both scientific and computational domains. AI offers intelligent decision making and pattern recognition capabilities whereas quantum computing has unmatched power in processing based on the principles of quantum mechanics; it promises to address a challenge that is beyond what classical computing can do. This paper will discuss the interaction between AI and quantum computing, focusing on how AI enhances quantum algorithm development, error correction, and quantum system optimization. The most recent research points out how AI improves quantum error resilience, helps in the simulation of quantum systems, and further develops new applications for areas such as cryptography, material science, and drug discovery. Despite these advances, however tremendous challenges still abound in this field, such as technological limitations and complexity inherent in quantum systems. This paper concludes by examining the transformative potential of AI in quantum computing together with ethical and societal connotations of this new emerging technological synergy.},
        keywords = {Artificial Intelligence (AI), Quantum Computing, Grover’s Algorithm, Shor’s Algorithm, Quantum Machine Learning, Ethical Implications of AI in Quantum Computing},
        month = {January},
        }