AI Techniques To Solve HW-SW Challenges For Useful Quantum Computing (Nvidia, U. of Oxford et al.)
Researchers from Nvidia, University of Oxford, University of Toronto, Quantum Motion, and University of Waterloo have published a technical paper on using artificial intelligence (AI) for quantum computing. The paper explores how AI advancements can address challenges in quantum computing, leveraging data-driven learning capabilities to tackle high-dimensional mathematics and scaling issues. The collaboration aims to bridge expertise from AI and quantum computing to advance hardware and software development for practical quantum computing applications. The paper delves into current AI techniques and their potential impact on the quantum computing landscape, highlighting future opportunities and challenges in this space.
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