ABOUT THIS EPISODE
Jim talks with Bruna Shinohara of CMC Microsystems. Quantum computing and machine learning are both currently making huge strides. So it is not strange that people are trying to use quantum computing for machine learning.
English
United States
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OTHER EPISODES IN THIS PODCAST
Jim talks with Antony Valentini about the difficulties of interpretation of quantum mechanics in light of quantum gravity. In particular, Antony discusses the failure of the Born Rule due to the impossibility of normalization (the fact that probabilities must sum to 100%) at that scale, and t…
Jim talks with Sunny Vagnozzi about using the Primoridial Graviton Background to rule out all inflation models. Show Notes: http://frontiers.physicsfm.com/71
Jim talks with Nick Ormrod and V. Vilasini about their use of categorical probability theory to analyze the measurement problem. We discuss categorical probability theory, which allows them to abstract from particular mathematical formulations of quantum mechanics to more general ideas about …
Jim talks with David Wolpert about the non-equilibrium behavior of computation, what it means for entropy, and how it relates to traditional thermodynamics.Show Notes: http://frontiers.physicsfm.com/74
Jim discusses quantum money with Jiahui Liu. Quantum money is a linchpin of quantum cryptography. The ability to create secure banknotes using quantum computers would allow even more secure methods of encryption for communications.
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