Observation of non-Fermi liquid physics in a quantum critical metal via quantum loop topography
arXiv:2007.07898 · doi:10.1103/PhysRevLett.127.046601
Abstract
Non-Fermi liquid physics is a ubiquitous feature in strongly correlated metals, manifesting itself in anomalous transport properties, such as a -linear resistivity in experiments. However, its theoretical understanding in terms of microscopic models is lacking despite decades of conceptual work and attempted numerical simulations. Here we demonstrate that a combination of sign problem-free quantum Monte Carlo sampling and quantum loop topography, a physics-inspired machine learning approach, can map out the emergence of non-Fermi liquid physics in the vicinity of a quantum critical point with little prior knowledge. Using only three parameter points for training the underlying neural network, we are able to reproducibly identify a stable non-Fermi liquid regime tracing the fan of a metallic quantum critical points at the onset of both spin-density wave and nematic order. Our study thereby provides an important proof-of-principle example that new physics can be detected via unbiased machine-learning approaches.
6 pages, 4 figures, attached supplementary materials
References in corpus (9)
- Fermi-liquid instabilities at magnetic quantum phase transitions
- Entanglement entropy of fermions in any dimension and the Widom conjecture
- Quantum Criticality
- Sign-problem-free quantum Monte Carlo of the onset of antiferromagnetism in metals
- DC resistivity at the onset of spin density wave order in two-dimensional metals
- Electrical resistivity near Pomeranchuk instability in two dimensions
- Quantum critical properties of a metallic spin density wave transition
- Scattering mechanisms and electrical transport near an Ising nematic quantum critical point
- Probing transport in quantum many-fermion simulations via quantum loop topography
Cited by in corpus (4)
- Non-Fermi-Liquid Behavior from Cavity Electromagnetic Vacuum Fluctuations at the Superradiant Transition
- A simple framework for contrastive learning phases of matter
- Low-energy peak in the one-particle spectral function of the electron gas at metallic densities
- Strange metallicity in an antiferromagnetic quantum critical model: A sign-problem-free quantum Monte-Carlo study