Speaker
Description
Understanding the computational complexity of quantum many-body systems is a central challenge at the interface of quantum information science and high-energy physics. In this talk, I will present a framework for quantifying complexity in fermionic systems through fermionic non-Gaussianity, building on resource-theoretic approaches to quantum many-body states. I will introduce efficiently computable measures of fermionic “magic” and discuss their role as diagnostics of classical simulability and quantum advantage. I will then discuss the implications of these ideas for the simulation of high-energy physics models, emphasizing how non-Gaussian correlations capture the onset of computational hardness. This provides a unified perspective in which the growth of fermionic non-Gaussianity quantitatively links quantum simulation capabilities to the intrinsic complexity of high-energy phenomena.