How difficult is emulating a quantum simulator? (Dr. Dominik Wild) / Artificial Intelligence for Probing Human Health (Dr. Kosmas Kepesidis)

How difficult is emulating a quantum simulator? (Dr. Dominik Wild)

In this talk, I will give an overview of the complexity of classically computing certain (but not all) outputs of a quantum simulator. I will describe an algorithm that efficiently computes the dynamics of local observables for short times. The algorithm is based on a cluster expansion and can be adapted to compute nonlocal quantities such as the Loschmidt echo. I will conclude with a speculative outlook on the role of noise.

Artificial Intelligence for Probing Human Health (Dr. Kosmas Kepesidis)

Based on clinical studies and infrared measurements of human blood, we build predictive models using machine-learning methods that lead to the production of artificial disease markers. Further analysis on follow-up studies, reveals that such markers possess both diagnostic and prognostic power and could be used in medical diagnostics and screening. This could be the first step towards the development of an infrared-based health-monitoring system.