This episode explores the convergence of quantum computing and classical high-performance computing, specifically focusing on Nvidia's role in accelerating quantum computing's timeline. Against the backdrop of previous skepticism regarding the practicality of quantum computers, the discussion features interviews with Nvidia's Senior Director of Quantum Computing and executives from IonQ and D-Wave. More significantly, the conversation highlights Nvidia's contribution through providing architecture, software, and services to quantum computing companies, rather than building quantum computers themselves. For instance, Nvidia's GPUs are used for simulating quantum computers, designing quantum hardware, and accelerating error correction processes. As the discussion pivoted to commercial applications, the interviewees emphasized the potential of quantum computing in areas like materials discovery and blockchain technology, with D-Wave showcasing its already commercially deployed quantum applications. In contrast, IonQ's executive chairman acknowledged the need to identify early revenue-generating applications to fuel R&D. The episode concludes by emphasizing the ongoing debate about the definition of "useful" quantum computing and the potential for collaboration between classical and quantum computing to accelerate the field's progress. This means for the quantum computing industry is a shift towards practical applications and a focus on collaboration to overcome technological hurdles.
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