Quantum Machine Learning Insights
Iordanis discusses the advantages of shallow quantum circuits, emphasizing their speed and efficiency in processing data. He addresses the challenges posed by noise in current quantum systems, but remains optimistic about the potential of quantum machine learning, noting that classical data is often noisy as well. The conversation highlights the significance of adapting to the NISQ era and the future of quantum applications.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Quantum Machine Learning: The Next Frontier? - With Iordanis Kerenidis - #397
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