Fermionic Magic Resources of Quantum Many-Body Systems
Piotr Sierant, Paolo Stornati, Xhek Turkeshi

TL;DR
This paper introduces a framework for quantifying fermionic magic resources in quantum many-body systems, revealing their role in phase transitions, eigenstate complexity, and dynamics, with implications for quantum computational advantage.
Contribution
It develops a novel, efficiently computable measure of fermionic non-Gaussianity called FAF, linking it to physical phenomena and dynamics in many-body systems.
Findings
FAF detects phase transitions and critical points.
Fermionic magic increases in highly excited eigenstates.
FAF growth is constrained by conservation laws and locality.
Abstract
Understanding the computational complexity of quantum states is a central challenge in quantum many-body physics. In qubit systems, fermionic Gaussian states can be efficiently simulated on classical computers and hence can be employed as a natural baseline for evaluating quantum complexity. In this work, we develop a framework for quantifying fermionic magic resources, also referred to as fermionic non-Gaussianity, which constitutes an essential resource for universal quantum computation. We leverage the algebraic structure of the fermionic commutant to define the fermionic antiflatness (FAF)-an efficiently computable and experimentally accessible measure of non-Gaussianity, with a clear physical interpretation in terms of Majorana fermion correlation functions. Studying systems in equilibrium, we show that FAF detects phase transitions, reveals universal features of critical points,…
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Taxonomy
TopicsStatistical Mechanics and Entropy
