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Explore how artificial intelligence can enhance quantum computing algorithms and hardware in this conference talk from the Quantum Techniques in Machine Learning (QTML) 2025 conference. Discover the emerging field of "AI for quantum" and learn how modern generative model techniques are being leveraged to accelerate quantum algorithm development. Examine the convergence of AI and quantum computing as a promising frontier in computational science, moving beyond traditional "quantum for AI" applications. Understand how contemporary AI methods enable next-generation quantum computing applications through concrete examples, including the innovative Generative Quantum Eigensolver (GQE) approach. Gain insights into AI-driven methodologies that are transforming the development and optimization of quantum algorithms and quantum hardware systems.
