Work distributions for random sudden quantum quenches.

Phys Rev E

Institute of Physics, University of Silesia, 40-007 Katowice, Poland.

Published: May 2017

The statistics of work performed on a system by a sudden random quench is investigated. Considering systems with finite dimensional Hilbert spaces we model a sudden random quench by randomly choosing elements from a Gaussian unitary ensemble (GUE) consisting of Hermitian matrices with identically, Gaussian distributed matrix elements. A probability density function (pdf) of work in terms of initial and final energy distributions is derived and evaluated for a two-level system. Explicit results are obtained for quenches with a sharply given initial Hamiltonian, while the work pdfs for quenches between Hamiltonians from two independent GUEs can only be determined in explicit form in the limits of zero and infinite temperature. The same work distribution as for a sudden random quench is obtained for an adiabatic, i.e., infinitely slow, protocol connecting the same initial and final Hamiltonians.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.95.052137DOI Listing

Publication Analysis

Top Keywords

sudden random
12
random quench
12
initial final
8
work
5
work distributions
4
random
4
distributions random
4
sudden
4
random sudden
4
sudden quantum
4

Similar Publications

Background: Sudden unexpected infant death (SUID) is a leading cause of death for US infants, and nonrecommended sleep practices are reported in most of these deaths. SUID rates have not declined over the past 20 years despite significant educational efforts. Integration of prenatal safe sleep and breastfeeding education into a pregnancy app may be one approach to engaging pregnant individuals in education about infant care practices prior to childbirth.

View Article and Find Full Text PDF

Background: Patients on long-term dialysis for end-stage kidney disease have a high mortality rate, predominantly due to sudden cardiac death (SCD), which is associated with an increased risk of arrhythmias compared to the general population. Thus, the current systematic review and meta-analysis aimed to investigate the incidence of SCD among dialysis patients at risk of arrhythmia.

Methods: This systematic review and meta-analysis followed the PRISMA guidelines.

View Article and Find Full Text PDF

Background: Brugada syndrome (BrS) is a genetic heart disease that predisposes individuals to ventricular arrhythmias and sudden cardiac death. Although implantable cardioverter-defibrillators (ICDs) and quinidine are primary treatments, recurrent BrS-triggered ventricular arrhythmias can persist. In this setting, epicardial substrate ablation has emerged as a promising alternative for symptomatic patients.

View Article and Find Full Text PDF

In the face of forest fire emergencies, fast and efficient dispatching of rescue vehicles is an important means of mitigating the damage caused by forest fires, and is an effective method of avoiding secondary damage caused by forest fires, minimizing the damage caused by forest fires to the ecosystem, and mitigating the losses caused by economic development. this paper takes the actual problem as the starting point, constructs a reasonable mathematical model of the problem, for the special characteristics of the emergency rescue vehicle scheduling problem of forest fires, taking into account the actual road conditions in the northern pristine forest area, through the analysis of the cost of paths between the forest area and the highway, to obtain the least obstructed rescue paths, to narrow the gap between the theoretical model and the problem of the actual. Improvement of ordinary genetic algorithm, design of double population strategy selection operation, the introduction of chaotic search initialization population, to improve the algorithm's solution efficiency and accuracy, through the northern pristine forest area of Daxing'anling real forest fire cases and generation of large-scale random fire point simulation experimental test to verify the effectiveness of the algorithm, to ensure that the effectiveness and reasonableness of the solution to the problem of forest fire emergency rescue vehicle scheduling program.

View Article and Find Full Text PDF

Development and validation of a risk prediction model for acute kidney injury in coronary artery disease.

BMC Cardiovasc Disord

January 2025

Center for Coronary Artery Disease, Division of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.

Background: Acute Kidney Injury (AKI) is a sudden and often reversible condition characterized by rapid kidney function reduction, posing significant risks to coronary artery disease (CAD) patients. This study focuses on developing accurate predictive models to improve the early detection and prognosis of AKI in CAD patients.

Methods: We used Electronic Health Records (EHRs) from a nationwide CAD registry including 54 429 patients.

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!