Dimitrios Bachtis (Swansea)

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Dimitrios Bachtis (Swansea)

April 28 @ 4:00 pm - 5:00 pm UTC+0

Quantum field-theoretic machine learning

The precise equivalence between discretized Euclidean field theories and Markov random fields, as established by the Hammersley-Clifford theorem, opens up the opportunity to investigate machine learning from the perspective of quantum field theory. In this talk I will discuss a variety of interconnected topics: Markov properties for quantum fields, the derivation of machine learning algorithms and of neural networks from the $\phi^{4}$ scalar field theory and the minimization of distance metrics between probability distributions. I will then conclude by presenting applications pertinent to the quantum field-theoretic machine learning algorithms.


April 28
4:00 pm - 5:00 pm UTC+0
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