AI summary · arXiv: 2401.11933v1 · cond-mat.stat-mech

Large deviation full counting statistics in adiabatic open quantum dynamics

Paulo J. Paulino, Igor Lesanovsky, Federico Carollo
Original paper Submitted to arXiv on 22 Jan. 2024 7 + 8 pages, 3 figures License: NONEXCLUSIVE-DISTRIB 1.0

How to read this summary? Illustrated guide

The essentials

  • Study investigates behavior of open quantum systems undergoing adiabatic processes
  • Focus on understanding average dynamics and fluctuations in dynamical observables
  • State of open quantum system during adiabatic process follows instantaneous stationary state of time-dependent generator
  • To study fluctuations, need to control entire spectrum of generator, not just its stationary state
  • Researchers use tools from large deviation theory to obtain information about fluctuations in adiabatic open quantum dynamics
  • Introduce adiabatic theorem for deformed generators to encode full counting statistics of time-integrated dynamical observables in biased quantum state
  • Capture average behavior, rare events, and atypical time-histories of observables
  • Compute probabilities associated with arbitrary "rare" time-histories of observables and derive dynamics that realize these behaviors
  • Approach allows characterization and engineering of adiabatic open quantum dynamics while controlling fluctuations
  • Provides valuable insights into understanding and manipulating adiabatic open quantum systems beyond average behavior

Key points written by AI: they may contain errors, check them against the paper.

AI-generated keywords: Open quantum systems

Read further

  • Comprehensive Summary
  • Layman's Summary
  • Blog article
  • Original abstract
, , , , In this study, Paulo J. Paulino, Igor Lesanovsky, and Federico Carollo investigate the behavior of open quantum systems undergoing adiabatic processes. They focus on understanding not only the average dynamics of these systems but also the fluctuations in dynamical observables. The researchers begin by noting that the state of an open quantum system during an adiabatic process follows the instantaneous stationary state of its time-dependent generator. This insight allows for a characterization of the average dynamics of the system during adiabatic evolution. However, to gain information about fluctuations in dynamical observables, such as the number of emitted photons or time-integrated stochastic entropy production in single experimental runs, it is necessary to control the entire spectrum of the generator rather than just its stationary state. To address this challenge, Paulino et al. employ tools from large deviation theory to obtain information about fluctuations in adiabatic open quantum dynamics. They introduce an adiabatic theorem for deformed generators, which enables them to encode the full counting statistics of generic time-integrated dynamical observables in a biased quantum state. By doing so, they are able to capture not only average behavior but also rare events and atypical time-histories of observables. Furthermore, the researchers compute probabilities associated with arbitrary "rare" time-histories of observables and derive a dynamics that realizes these behaviors in their typical manifestations. This approach provides a means to characterize and engineer adiabatic open quantum dynamics while also allowing for control over their fluctuations. Overall, this study offers valuable insights into understanding and manipulating adiabatic open quantum systems beyond their average behavior. By leveraging large deviation theory and introducing an adiabatic theorem for deformed generators, Paulino et al. provide a framework for studying fluctuations and rare events in these systems—a crucial step towards advancing our understanding and control over complex quantum phenomena.

Was this synthesis useful?

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Tools for this paper

Explain it differently 3 free rewrites left today
Save to a collection Group papers in collections to compare them, chat with them and export them. Create a free account Log in

Advanced tools Premium

For researchers who follow a field closely: citation alerts, journal-club slides, version comparison and Zotero export. Discover Premium

Zotero
Citation alerts Citation alerts guide
Journal club Premium+ Slides to present it

Papers around this one

See them on a map

Ranked by how close their title and abstract are to this paper’s. Select some to read them together.

Closest papers

  1. Related
    Classical limit of measurement-induced transition in many-body chaos in integrable and non-integrable oscillator chains
    Sibaram Ruidas, Sumilan Banerjee · 2022 · Statistical Mechanics · AI summary available
    Abstract

    We discuss the dynamics of integrable and non-integrable chains of coupled oscillators under continuous weak position measurements in the semiclassical limit. We show that, in this limit, the dynamics is described by a standard stochastic Langevin equation, and a measurement-induced transition appears as a noise- and dissipation-induced chaotic-to-non-chaotic transition akin to stochastic synchronization. In the non-integrable chain of anharmonically coupled oscillators, we show that the temporal growth and the ballistic light-cone spread of a classical out-of-time correlator characterized by the Lyapunov exponent and the butterfly velocity, are halted above a noise or below an interaction s…

  2. Related
    Maximum Kolmogorov-Sinai entropy vs minimum mixing time in Markov chains
    Martin Mihelich, Berengere Dubrulle, Didier Paillard et al. · 2015 · Statistical Mechanics · AI summary available
    Abstract

    Many modern techniques employed in physics, such a computation of path integrals, rely on random walks on graphs that can be represented as Markov chains. Traditionally, estimates of running times of such sampling algorithms are computed using the number of steps in the chain needed to reach the stationary distribution. This quantity is generally defined as mixing time and is often difficult to compute. In this paper, we suggest an alternative estimate based on the Kolmogorov-Sinai entropy, by establishing a link between the maximization of KSE and the minimization of the mixing time. Since KSE are easier to compute in general than mixing time, this link provides a new faster method to appro…

  3. Related
    Dissipation in Hydrodynamics from Micro- to Macroscale: Wisdom from Boltzmann and Stochastic Thermodynamics
    Danilo Forastiere, Francesco Avanzini, Massimiliano Esposito · 2023 · Statistical Mechanics · AI summary available
    Abstract

    We show that macroscopic irreversible thermodynamics for viscous fluids can be derived from exact information-theoretic thermodynamic identities valid at the microscale. Entropy production in particular is a measure of the loss of many-particle correlations in the same way in which it measures the loss of system-reservoirs correlations in stochastic thermodynamics (ST). More specifically, we first show that boundary conditions at the macroscopic level define a natural decomposition of the entropy production rate (EPR) in terms of thermodynamic forces multiplying their conjugated currents, as well as a change in suitable nonequilibrium potential that acts as a Lyapunov function in absence of …

  4. Related
    Drift-Controlled Anomalous Diffusion: A Solvable Gaussian Model
    Fabrizio Lillo, Rosario N. Mantegna · 2000 · Statistical Mechanics · AI summary available
    Abstract

    We introduce a Langevin equation characterized by a time dependent drift. By assuming a temporal power-law dependence of the drift we show that a great variety of behavior is observed in the dynamics of the variance of the process. In particular diffusive, subdiffusive, superdiffusive and stretched exponentially diffusive processes are described by this model for specific values of the two control parameters. The model is also investigated in the presence of an external harmonic potential. We prove that the relaxation to the stationary solution is power-law in time with an exponent controlled by one of model parameters.

  5. Related
    Understanding quantum entanglement by thermo field dynamics
    Yoichiro Hashizume, Masuo Suzuki · 2013 · Statistical Mechanics · AI summary available
    Abstract

    We propose a new method to understand quantum entanglement using the thermo field dynamics (TFD) described by a double Hilbert space. The entanglement states show a quantum-mechanically complicated behavior. Our new method using TFD makes it easy to understand the entanglement states, because the states in the tilde space in TFD play a role of tracer of the initial states. For our new treatment, we define an extended density matrix on the double Hilbert space. From this study, we make a general formulation of this extended density matrix and examine some simple cases using this formulation. Consequently, we have found that we can distinguish intrinsic quantum entanglement from the thermal fl…

  6. Related
    Large deviation functional of the weakly asymmetric exclusion process
    B. Derrida, C. Enaud · 2003 · J. Stat. Phys. 114 (2004) 537-562 · AI summary available
    Abstract

    We obtain the large deviation functional of a density profile for the asymmetric exclusion process of L sites with open boundary conditions when the asymmetry scales like 1/L. We recover as limiting cases the expressions derived recently for the symmetric (SSEP) and the asymmetric (ASEP) cases. In the ASEP limit, the non linear differential equation one needs to solve can be analysed by a method which resembles the WKB method.

  7. Related
    Topology protects chiral edge currents in stochastic systems
    Evelyn Tang, Jaime Agudo-Canalejo, Ramin Golestanian · 2020 · Phys. Rev. X 11, 031015 (2021) · AI summary available
    Abstract

    Constructing systems that exhibit time-scales much longer than those of the underlying components, as well as emergent dynamical and collective behavior, is a key goal in fields such as synthetic biology and materials self-assembly. Inspiration often comes from living systems, in which robust global behavior prevails despite the stochasticity of the underlying processes. Here, we present two-dimensional stochastic networks that consist of minimal motifs representing out-of-equilibrium cycles at the molecular scale and support chiral edge currents in configuration space. These currents arise in the topological phase due to the bulk-boundary correspondence and dominate the system dynamics in t…

  8. Related
    Field Theory of Birhythmicity
    Sergei Shmakov, Peter B. Littlewood · 2025 · Statistical Mechanics · AI summary available
    Abstract

    Non-equilibrium dynamics are present in many aspects of our lives, ranging from microscopic physical systems to the functioning of the brain. What characterizes stochastic models of non-equilibrium processes is the breaking of the fluctuation-dissipation relations as well as the existence of non-static stable states, or phases. A prototypical example is a dynamical phase characterized by a limit cycle - the order parameter of finite magnitude rotating or oscillating at a fixed frequency. Consequently, birhythmicity, where two stable limit cycles coexist, is a natural extension of the simpler single limit cycle phase. Both the abundance of real systems exhibiting such states as well as their …

How are these papers found?

We compare the title and abstract of this paper with those of every paper summarized on this site, and with the papers Semantic Scholar recommends, those it cites and those citing it (for a much-cited paper, its most recent citations and, from OpenAlex, the most cited ones). Among the prior work and the follow-ups, the papers that use each other in depth, a method it uses and the much-cited follow-ups come a little higher. The levels (very close, close, related) come from the similarity of the texts, not from a judgment of quality; * marks a paper without an abstract, compared by its title. The sentence under a paper is written by an AI from the two abstracts: check it in the papers. A paper marked not relevant by three readers leaves the list.

For now only among the papers summarized on this site: search again to add the prior work, the follow-ups and Semantic Scholar’s recommendations.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.