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About 10,000 papers for “Time evolution”

Time Evolution

Lovett, Ronald · Open Scholarship Institutional Repository (Washington University in St. Louis) · 2017

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Time Evolution

Luigi E. Picasso · UNITEXT for physics · 2015

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Time Evolution

Lovett, Ronald · Open Scholarship Institutional Repository (Washington University in St. Louis) · 2017

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Time evolution

Kenichi Konishi, Giampiero Paffuti · 2009

Abstract There is a vast class of interesting physical problems, however, which involve time-dependent Hamiltonians and which are not accessible to perturbative treatment. In this chapter, we discuss some of these systems.

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Time Evolution

K. Tamvakis · Undergraduate texts in physics · 2019

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Time Evolution

Leonardo Angelini · UNITEXT for physics · 2019

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Time Evolution

Charis Anastopoulos · Cambridge University Press eBooks · 2023

The ideal text for a two-semester graduate course on quantum mechanics. Fresh, comprehensive, and clear, it strikes the optimal balance between covering traditional material and exploring contemporary topics. Focusing on the probabilistic structure of quantum mechanics and the central role of symmetries to unify principles, this textbook guides readers through the logical development of the theory. Students will also learn about the more exciting and controversial aspects of quantum theory, with discussions on past interpretations and the current debates on cutting-edge concepts such as quantum information and entanglement, open quantum systems, and quantum measurement theory. The book has two types of content: Type A material is more elementary and is fully self-contained, functioning like a separate book within the book, while Type B content is at the level of a graduate course. Requiring minimal physics background, this textbook is appropriate for mathematics and engineering students, in addition to physicists. Introducing cutting-edge topics in the field, the book features about 150 concept-checking questions, 300 homework problems and a solutions manual.

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Time series evolution.

S. A. Campuzano (5979329), A. De Santis (5979332), F. J. Pavón-Carrasco (5979335) et al. · Figshare · 2018

<p>Evolution of a) the SAA area extent (within the 32000 nT isoline of the geomagnetic field) on the Earth’s surface in km<sup>2</sup> from three global geomagnetic field models [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0207270#pone.0207270.ref027" target="_blank">27</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0207270#pone.0207270.ref035" target="_blank">35</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0207270#pone.0207270.ref036" target="_blank">36</a>] and b) GSL rise in mm, for the last 300 years (1700–2000). The lines represent the fits by using penalized cubic splines: (red, green, blue) SAA derived from Jackson et al. [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0207270#pone.0207270.ref035" target="_blank">35</a>], Gubbins et al. [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0207270#pone.0207270.ref027" target="_blank">27</a>] and Finlay [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0207270#pone.0207270.ref036" target="_blank">36</a>], respectively, and (gray) GSL.</p>

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Time evolution of .

Jay Samuel L. Combinido (300382), May T. Lim (300385) · Figshare · 2015

<p>Time evolution of for different car transient behaviors (from superdiffusion [a] to subdiffusion [f]) for <i>t</i> = 10, 50, 100, 300, 900 (dark red to blue). The dotted (black) line is the CCDF of a standard normal distribution. Superballistic cars in (a) have a CCDF of a negatively skewed normal distribution which can be attributed to the initial acceleration of the cars. Ballistic cars as in (b) fits the standard normal CCDF. Cars with an initial sub-ballistic motion as in (c-f) begin with an exponential distribution then slowly approach standard normal as the movement of cars become ballistic. <i>Inset</i>: Plots for the vs. time <i>t</i>. A slope > 0 indicates superdiffusion; = 0 is diffusion; and <0 is subdiffusion. Ballistic movement is superdiffusive with vs. <i>t</i> slope = 1.</p>

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Time series evolution.

Marceliano Rodriguez (11868809), Domingo Calvo-Dopico (11868812), Estefanía Mourelle (11868815) · Figshare · 2021

<p>Source: Own elaboration based on [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0261580#pone.0261580.ref034" target="_blank">34</a>].</p>

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Schrödinger Time Evolution

David McIntyre · Cambridge University Press eBooks · 2022

This popular undergraduate quantum mechanics textbook is now available in a more affordable printing from Cambridge University Press. Unlike many other books on quantum mechanics, this text begins by examining experimental quantum phenomena such as the Stern-Gerlach experiment and spin measurements, using them as the basis for developing the theoretical principles of quantum mechanics. Dirac notation is developed from the outset, offering an intuitive and powerful mathematical toolset for calculation, and familiarizing students with this important notational system. This non-traditional approach is designed to deepen students' conceptual understanding of the subject, and has been extensively class tested. Suitable for undergraduate physics students, worked examples are included throughout and end of chapter problems act to reinforce and extend important concepts. Additional activities for students are provided online, including interactive simulations of Stern-Gerlach experiments, and a fully worked solutions manual is available for instructors.

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Multiple-time Quantum Imaginary Time Evolution

Julio Del Castillo, Mats Granath, Evert van Nieuwenburg · ArXiv.org · 2025

Quantum Imaginary-Time Evolution (QITE) is a powerful method for preparing ground states on quantum hardware. However, executing QITE has costly measurement budgets for general Hamiltonians. Both fidelity and computational cost are strongly dependent on the definition of suitable local domains and Hamiltonian partitions. In this work, we introduce the Multiple-Time QITE algorithm (MT-QITE). We show how using more than one imaginary time substantially improves the fidelity of the resulting ground state as well as the measurement overhead with respect to the previously published QITE algorithm, while preserving its deterministic character and its independence from ad hoc ansatze. Moreover, unlike QITE and other QITE-based algorithms, MT-QITE is parallelizable, and we show that even in Hamiltonians with non-local interactions, partitioning may entail a computational advantage.

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Cluster’s evolution over time.

Muhammad Atif (2575789), Muhammad Shafiq (2623198), Muhammad Farooq (186443) et al. · Figshare · 2022

<p>The nodes represents the clusters whereas the edges represents the transition experienced by respective clusters. The first subscript in <i>C</i><sub><i>ij</i></sub> represents the time points, whereas the second subscript represents the cluster.</p>

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Time evolution with TDVP

Stefaniak, Justyna · Jagiellonian University Repository (Jagiellonian University)

Sieci tensorowe pojawiły się ostatnio jako narzędzie do opisu własności stanów podstawowych oraz ewolucji w czasie sieci fermionów. Poniższa praca koncentruje się na użyciu sieci MPS oraz zależnej od czasu zasady wariacyjnej w celu symulacji modelu Isinga z poprzecznym polem. Pierwsza część pracy wprowadza koncept sieci tensorowych oraz podstawowe informacje o modelu Isinga z poprzecznym polem. W drugiej części przedyskutowany jest algorytm użyty do symulacji, czyli zależna od czasu zasada wariacyjna. Ostatnia część pracy jest poświęcona wynikom numerycznym z ewolucji w czasie rzeczywistym oraz urojonym nieskończonej jednowymiarowej sieci spinów-1/2 przy użyciu Hamiltonianu dla modelu Isinga z poprzecznym polem.

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Visualizing time in evolution

Jörgen Stenlund, Lena Tibell · 2018

Time is a difficult concept to define and understand, let alone time required for evolutionary events such as speciation. In fact, time scale is considered as a threshold concept in teaching and le ...

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