Hello everyone,
I am currently researching the potential of combining Artificial Intelligence (AI) with Quantum Computing to build advanced decision-making logic models. Specifically, I am interested in how quantum algorithms can enhance or optimize classical AI decision processes.
I would love to hear from the community on the following points:
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Frameworks & Tools: What are the recommended approaches or NVIDIA tools (such as cuQuantum integrated with AI frameworks) for simulating or building this kind of hybrid logic?
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Use Cases: Are there any known examples or research papers where AI and quantum computing have been successfully merged for decision-making logic?
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Challenges: What are the primary bottlenecks when passing data and logic states between classical AI models and quantum circuits?
Any insights, resources, or guidance on where to start would be greatly appreciated.
Thank you in advance!