Universal Anti-Kibble-Zurek Scaling in Fully Connected Systems.

Phys Rev Lett

Institute of Theoretical Physics and IQST, Albert-Einstein Allee 11, Universität Ulm, 89069 Ulm, Germany.

Published: June 2020

We investigate the quench dynamics of an open quantum system involving a quantum phase transition. In the isolated case, the quench dynamics involving the phase transition exhibits a number of scaling relations with the quench rate as predicted by the celebrated Kibble-Zurek mechanism. In contact with an environment however, these scaling laws break down and one may observe an anti-Kibble-Zurek behavior: slower ramps lead to less adiabatic dynamics, increasing thus nonadiabatic effects with the quench time. In contrast to previous works, we show here that such anti-Kibble-Zurek scaling can acquire a universal form in the sense that it is determined by the equilibrium critical exponents of the phase transition, provided the excited states of the system exhibit singular behavior, as observed in fully connected models. This demonstrates novel universal scaling laws granted by a system-environment interaction in a critical system. We illustrate these findings in two fully connected models, namely, the quantum Rabi and the Lipkin-Meshkov-Glick models. In addition, we discuss the impact of nonlinear ramps and finite-size systems.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevLett.124.230602DOI Listing

Publication Analysis

Top Keywords

fully connected
12
phase transition
12
anti-kibble-zurek scaling
8
quench dynamics
8
scaling laws
8
connected models
8
scaling
5
universal anti-kibble-zurek
4
scaling fully
4
connected systems
4

Similar Publications

Role of immune cell homeostasis in research and treatment response in hepatocellular carcinoma.

Clin Exp Med

January 2025

Department of Thoracic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.

Introduction Recently, immune cells within the tumor microenvironment (TME) have become crucial in regulating cancer progression and treatment responses. The dynamic interactions between tumors and immune cells are emerging as a promising strategy to activate the host's immune system against various cancers. The development and progression of hepatocellular carcinoma (HCC) involve complex biological processes, with the role of the TME and tumor phenotypes still not fully understood.

View Article and Find Full Text PDF

Quiescent pancreatic stellate cells (PSCs) represent only a very low proportion of the pancreatic tissue, but their activation leads to stroma remodeling and fibrosis associated with pathologies such as chronic pancreatitis and pancreatic ductal adenocarcinoma (PDAC). PSC activation can be induced by various stresses, including acidosis, growth factors (PDGF, TGFβ), hypoxia, high pressure, or intercellular communication with pancreatic cancer cells. Activated PSC targeting represents a promising therapeutic strategy, but little is known regarding the molecular mechanisms underlying the activation of PSCs.

View Article and Find Full Text PDF

Serum metabolites and risk of aortic dissection: a two-sample Mendelian randomization study.

Indian J Thorac Cardiovasc Surg

February 2025

Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001 Anhui China.

Purpose: Acute aortic dissection is a serious cardiovascular emergency with a high mortality rate. Its pathogenesis is complex and remains unclear. This study aimed to assess the connection between the levels of genetically predicted circulating metabolites and the risk of aortic dissection.

View Article and Find Full Text PDF

Aims: Hepcidin regulates plasma and tissue iron levels. We studied the association of hepcidin levels with the risk of incident heart failure (HF) and cardiac dysfunction in older adults.

Methods: We included adults from the ongoing, longitudinal Atherosclerosis Risk in Communities (ARIC) study who were free from prevalent anemia and HF at Visit 5 (2011-2013) and had available hepcidin and covariate data.

View Article and Find Full Text PDF

Integrating single-cell multimodal epigenomic data using 1D-convolutional neural networks.

Bioinformatics

January 2025

Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, United States.

Motivation: Recent experimental developments enable single-cell multimodal epigenomic profiling, which measures multiple histone modifications and chromatin accessibility within the same cell. Such parallel measurements provide exciting new opportunities to investigate how epigenomic modalities vary together across cell types and states. A pivotal step in using this type of data is integrating the epigenomic modalities to learn a unified representation of each cell, but existing approaches are not designed to model the unique nature of this data type.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!