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We estimate the distance in total variation between the law of a finite state Markov process at time t, starting from a given initial measure, and its unique invariant measure. We derive upper bounds for the time to reach the equilibrium.…

Probability · Mathematics 2015-06-26 Pierre MATHIEU , Pierre PICCO

The purpose of this paper is to formalize the concept that best synthesizes our intuitive understanding of quantum mechanics -- that the information carried by a system is limited -- and, from this principle, to construct the foundations of…

Quantum Physics · Physics 2025-07-04 Paolo Ferro

The states of an open quantum system interact ("talk") with one another via the extended environment into which the localized system is embedded. This interaction is mediated by the source term of the Schr\"odinger equation which describes…

Quantum Physics · Physics 2015-12-22 Hichem Eleuch , Ingrid Rotter

This thesis addresses whether it is possible to build a robust memory device for quantum information. A three-dimensional gapped lattice spin model is found which demonstrates for the first time that a reliable quantum memory at finite…

Quantum Physics · Physics 2013-05-31 Jeongwan Haah

Gaussian states of bosonic quantum systems enjoy numerous technological applications and are ubiquitous in nature. Their significance lies in their simplicity, which in turn rests on the fact that they are uniquely determined by two…

We consider the non-equilibrium dynamics of disordered systems as defined by a master equation involving transition rates between configurations (detailed balance is not assumed). To compute the important dynamical time scales in…

Disordered Systems and Neural Networks · Physics 2010-02-15 Cecile Monthus , Thomas Garel

We present a study of the noise driven escape of an overdamped Brownian particle moving in a cubic potential profile with a metastable state. We analyze the role of the initial conditions of the particle on the enhancement of the average…

Statistical Mechanics · Physics 2009-11-10 A. Fiasconaro , D. Valenti , B. Spagnolo

We analyze the popular ``state-space'' class of algorithms for detecting casual interaction in coupled dynamical systems. These algorithms are often justified by Takens' embedding theorem, which provides conditions under which relationships…

Signal Processing · Electrical Eng. & Systems 2023-08-15 Matthew O'Shaughnessy , Mark Davenport , Christopher Rozell

We consider binary infinite order stochastic chains perturbed by a random noise. This means that at each time step, the value assumed by the chain can be randomly and independently flipped with a small fixed probability. We show that the…

Probability · Mathematics 2007-07-20 Pierre Collet , Antonio Galves , Florencia G. Leonardi

A patchwork method is used to study the dynamics of loss and recovery of an initial configuration in spin glass models in dimensions d=1 and d=2. The patchwork heuristic is used to accelerate the dynamics to investigate how models might…

Disordered Systems and Neural Networks · Physics 2018-01-03 Jie Yang , A. Alan Middleton

We have previously demonstrated that a switched affine system is stabilisable independently of the initial condition, i.e. there exists an asymptotically stabilising switching function which is the same for all initial conditions, if and…

Optimization and Control · Mathematics 2025-04-17 Christopher Townsend , Maria M. Seron

Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery corresponding to a knowledge component. It considers the learner's state of mastery as a "hidden" or latent binary variable and updates this state…

Computers and Society · Computer Science 2024-01-19 Denis Shchepakin , Sreecharan Sankaranarayanan , Dawn Zimmaro

We examine a two-dimensional system of sterically repulsive interacting disks where each particle runs in a random direction. This system is equivalent to a run-and-tumble dynamics system in the limit where the run time is infinite. At low…

Soft Condensed Matter · Physics 2017-12-06 C. Reichhardt , C. J. Olson Reichhardt

An optimal finite-time process drives a given initial distribution to a given final one in a given time at the lowest cost as quantified by total entropy production. We prove that for system with discrete states this optimal process…

Statistical Mechanics · Physics 2023-12-15 Benedikt Remlein , Udo Seifert

In this paper, we consider the problem of mean first-passage time (MFPT) in quantum mechanics; the MFPT is the average time of the transition from a given initial state, passing through some intermediate states, to a given final state for…

Statistical Mechanics · Physics 2015-06-11 Rong-Tao Qiu , Wu-Sheng Dai , Mi Xie

We study time evolution of entanglement between two qubits, which are part of a larger system, after starting from a random initial product state. We show that, due to randomness in the initial product state, entanglement is present only…

Quantum Physics · Physics 2008-08-15 Marko Znidaric

Time-integrated quantities such as work and heat increase incessantly in time during nonequilibrium processes near steady states. In the long-time limit, the average values of work and heat become asymptotically equivalent to each other,…

Statistical Mechanics · Physics 2015-03-26 Kwangmoo Kim , Chulan Kwon , Hyunggyu Park

We study the temporal rate of variations of the von Neumann entropy in an open quantum system which interacts with a bath. We show that for almost all initial states of the bath and the system, the time-average of the rate of entropy change…

Quantum Physics · Physics 2018-08-28 F. Bakhshinezhad , A. T. Rezakhani

The first passage time (FPT) for random walks is a key indicator of how fast information diffuses in a given system. Despite the role of FPT as a fundamental feature in transport phenomena, its behavior, particularly in heterogeneous…

Statistical Mechanics · Physics 2015-06-05 S. Hwang , D. -S. Lee , B. Kahng

Restricted Boltzmann Machines are described by the Gibbs measure of a bipartite spin glass, which in turn corresponds to the one of a generalised Hopfield network. This equivalence allows us to characterise the state of these systems in…

Disordered Systems and Neural Networks · Physics 2018-02-28 Adriano Barra , Giuseppe Genovese , Peter Sollich , Daniele Tantari
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