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Entropy, Volume 26, Issue 2

February 2024 - 79 articles

Cover Story: A fundamental feature underpinning phenomenological thermodynamics is that we accept limited knowledge and lack of control over all degrees of freedom of a system. However, modern quantum thermodynamics, which grows from information theory, requires the opposite. To bridge the two, we propose an intermediate route inspired by gauge theories known from fundamental physics, treating certain information content as the gauge. Consequently, we arrive at different notions of work and heat for quantum systems, consistent with the classical intuition. In particular, we exhibit heat present in closed quantum systems which we associate with energy that cannot be used to perform work due to insufficient control over the system. View this paper
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Articles (79)

  • Article
  • Open Access
1 Citations
1,960 Views
15 Pages

10 February 2024

The two-dimensional sample entropy marks a significant advance in evaluating the regularity and predictability of images in the information domain. Unlike the direct computation of sample entropy, which incurs a time complexity of O(N2) for the serie...

  • Article
  • Open Access
3 Citations
2,533 Views
24 Pages

A Hybrid Cryptosystem Incorporating a New Algorithm for Improved Entropy

  • Víctor Manuel Silva-García,
  • Rolando Flores-Carapia and
  • Manuel Alejandro Cardona-López

10 February 2024

Today, safeguarding sensitive content through encryption is crucial. This work presents a hybrid cryptosystem for images that employs both asymmetric and symmetric encryption. The asymmetric component involves applying the Diffie–Hellman protoc...

  • Article
  • Open Access
2 Citations
1,778 Views
22 Pages

10 February 2024

In recent years, many works have explored possible advantages of indefinite causal order, with the main focus on its controlled implementation known as quantum switch. In this paper, we tackle advantages in quantum thermodynamics, studying whether qu...

  • Article
  • Open Access
1 Citations
1,680 Views
14 Pages

A Multi-Information Spreading Model for One-Time Retweet Information in Complex Networks

  • Kaidi Zhao,
  • Dingding Han,
  • Yihong Bao,
  • Jianghai Qian and
  • Ruiqi Yang

9 February 2024

In the realm of online social networks, the spreading of information is influenced by a complex interplay of factors. To explore the dynamics of one-time retweet information spreading, we propose a Susceptible–Infected–Completed (SIC) mul...

  • Article
  • Open Access
3 Citations
2,842 Views
52 Pages

9 February 2024

Previous studies have revealed the extraordinarily large catalytic efficiency of some enzymes. High catalytic proficiency is an essential accomplishment of biological evolution. Natural selection led to the increased turnover number, kcat, and enzyme...

  • Article
  • Open Access
3 Citations
2,595 Views
17 Pages

9 February 2024

Generative models have gained significant attention in recent years. They are increasingly used to estimate the underlying structure of high-dimensional data and artificially generate various kinds of data similar to those from the real world. The pe...

  • Article
  • Open Access
3 Citations
2,717 Views
33 Pages

Comparison of Graph Distance Measures for Movie Similarity Using a Multilayer Network Model

  • Majda Lafhel,
  • Hocine Cherifi,
  • Benjamin Renoust and
  • Mohammed El Hassouni

8 February 2024

Graph distance measures have emerged as an effective tool for evaluating the similarity or dissimilarity between graphs. Recently, there has been a growing trend in the application of movie networks to analyze and understand movie stories. Previous s...

  • Article
  • Open Access
3 Citations
2,584 Views
14 Pages

Multifractal Multiscale Analysis of Human Movements during Cognitive Tasks

  • Andrea Faini,
  • Laurent M. Arsac,
  • Veronique Deschodt-Arsac and
  • Paolo Castiglioni

8 February 2024

Continuous adaptations of the movement system to changing environments or task demands rely on superposed fractal processes exhibiting power laws, that is, multifractality. The estimators of the multifractal spectrum potentially reflect the adaptive...

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Entropy - ISSN 1099-4300