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Quantum AI encompasses a wide range of applications, including the use of quantum computing to enhance machine learning and artificial intelligence (e.g., via the use of Variational Quantum Circuits or VQCs). It also involves hybrid classical-quantum AI/ML approaches, leveraging quantum supremacy for solving various AI/ML problems like Optimization, NLP, Supervised/Unsupervised Learning, Reinforcement Learning, and Federated Learning. To fully realize the potential of Quantum AI, ensuring trust and security is crucial. Therefore, developing novel approaches for quantum security and cryptography becomes an integral part of advancing Quantum AI. By addressing security concerns, we can establish a foundation of trust in Quantum AI technologies, paving the way for their broader adoption and application across different fields.
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