International Journal on Science and Technology

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Quantum AI: Exploring the Intersection of Quantum Computing and Machine Learning

Author(s) Naga Surya Teja Thallam
Country United States
Abstract Quantum Artificial Intelligence (Quantum AI) stands for the crossroad of quantum computing and machine learning and, tends to reinvigorate artificial intelligence with computation efficiency and the ability to solve highly complicated problems that cannot be handled by any ordinary computer. We discuss the principles of quantum computing and machine learning, as well as QSVM, QNN and QRL, as quantum machine learning algorithms. The paper looks at the challenges of implementing Quantum AI such as the limitations of quantum hardware and the quantum noise interference and scalability. In addition, there is a discussion of real world applications of Quantum AI in finance, healthcare, cybersecurity and logistics to showcase its usefulness towards improving optimization and data analysis and decision making. It also reveals the research directions needed to go in for hardware in the quantum, quantum AI models, and quantum safe security for the full realization of Quantum AI. The findings indicate, however, that the challenges are still there but that Quantum AI moves artificial intelligence to a direction where computations are accelerated, learning models are improved and the solution space for solving problems is redefined.
Keywords Quantum AI, Quantum Machine Learning, Quantum Computing, Quantum Neural Networks, Quantum Optimization, Quantum Algorithms, Hybrid AI, Quantum Cryptography, Quantum Reinforcement Learning, Quantum Support Vector Machines.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 15, Issue 2, April-June 2024
Published On 2024-04-10
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