Invited speakers

March 29th, 2018, 2-3pm, MC6334

Name: Alejandro Pozas

Affiliation: ICFO, Barcelona, Spain

Title: Artificial Intelligence Augmentation: Catching the wave of Machine Learning to tackle problems in Quantum Information.

Abstract:

Due to great advances both in theoretical foundations and hardware design, the field of machine learning (and in particular deep, discriminative learning) has become increasingly popular among researchers and developers, permeating to numerous other fields of research. Nevertheless, in quantum information theory this permeation has been rather limited. This stems from two fundamental characteristics of discriminative learning: predictions are typically probabilistic, so the question of trusting predictions arises, and it is difficult to understand the "reasoning" that leads to a specific output of the algorithms. Following the proposal of Carter and Nielsen, we argue that turning the attention to generative (instead of discriminative) models can be much more beneficial when addressing fundamental problems.

In this talk, I will present the concept of Artificial Intelligence Augmentation, and discuss the ways in which Theoretical Physics research can benefit from it. Next, I will present an application of these ideas in ongoing work: shedding light on the conjecture that two bits of global randomness can be extracted from every partially-entangled state.