Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

arXiv:1908.11747 · Nature Reviews Physics

Dynamics of quantum information

Robert J. Lewis-Swan, Arghavan Safavi-Naini, A. M. Kaufman, A. M. Rey

Published Aug 28, 2019• 119 citations
arXivHTMLPDF
DOI
10.1038/s42254-019-0090-y

Related papers

Phase Transition Dynamics of Quantum Information

Zhi-An Luan

Bulletin of the American Physical Society•Mar 16, 2021•0 citations

Dynamical Equations for Quantum Information and Application in Information Channel

Bi Qiao, Xing Xiu-San, Harry E. Ruda

We establish several dynamical equations for quantum information density. It is demonstrated that quantum information density shares the same formalism of the Liouville equation, subdynamics kinetic equation and Fokker–Planck equation as the density operator and also possesses the superposition property. These allow one to use quantum information density directly to model quantum information. The kinetic equations for quantum information density reveal that the dynamical process of quantum information may be related to dissipative, Markovian, or diffusional information flows, together causing irreversibility. Finally, we discuss superposition of quantum information density, which allows us to construct a quantum information channel in the coherent state representation using harmonic oscillator based encoded quantum information, and obtain a formula for quantum dynamical mutual information.

Chinese Physics Letters•Jun 16, 2005•5 citations

The Physics of Quantum Information

Dirk Bouwmeester, ARTUR K. EKERT, Anton Zeilinger

Springer eBooks•Jan 1, 2000•1,982 citations

Quantum Information Entropy Dynamic Mapping Algorithm (DEMA)

Jincheng Zhang

Quantum information entropy is a critical component of quantum computing, and current optimization methods often struggle to efficiently utilize this information. This paper introduces the Dynamic Entropy Mapping Algorithm (DEMA), a novel algorithm designed to dynamically adjust quantum bit allocation to maximize quantum information yield. The core mechanism leverages quantum information entropy as a dynamic optimization target, employing iterative adjustments to optimize the quantum state. We demonstrate the effectiveness of DEMA through simulations and theoretical analysis, showcasing a significant improvement in quantum information utilization.

•Aug 31, 2026•0 citations

The physics of quantum information

Antoine Browaeys

•May 1, 2022•0 citations

Dynamic Topology of Quantum Information Evolution Model

Jincheng Zhang

This paper presents a novel dynamic topology model for quantum information evolution, focusing on the simulation of quantum information's evolution through dynamic adjustments to the topology of the underlying space. Traditional quantum information models often rely on static representations, limiting the ability to accurately capture the complex, evolving behavior of quantum systems. We propose a new model that dynamically shapes the topology of a quantum system, allowing for a more realistic simulation of quantum information's journey. The model's core mechanism leverages the interplay between topology and quantum information, enabling a qualitatively different approach to quantum information processing and storage. This approach has the potential to offer improved performance and robustness compared to static models.

•Sep 4, 2026•0 citations
We establish several dynamical equations for quantum information density. It is demonstrated that quantum information density shares the same formalism of the Liouville equation, subdynamics kinetic equation and Fokker–Planck equation as the density operator and also possesses the superposition property. These allow one to use quantum information density directly to model quantum information. The kinetic equations for quantum information density reveal that the dynamical process of quantum information may be related to dissipative, Markovian, or diffusional information flows, together causing irreversibility. Finally, we discuss superposition of quantum information density, which allows us to construct a quantum information channel in the coherent state representation using harmonic oscillator based encoded quantum information, and obtain a formula for quantum dynamical mutual information.
Quantum information entropy is a critical component of quantum computing, and current optimization methods often struggle to efficiently utilize this information. This paper introduces the Dynamic Entropy Mapping Algorithm (DEMA), a novel algorithm designed to dynamically adjust quantum bit allocation to maximize quantum information yield. The core mechanism leverages quantum information entropy as a dynamic optimization target, employing iterative adjustments to optimize the quantum state. We demonstrate the effectiveness of DEMA through simulations and theoretical analysis, showcasing a significant improvement in quantum information utilization.
This paper presents a novel dynamic topology model for quantum information evolution, focusing on the simulation of quantum information's evolution through dynamic adjustments to the topology of the underlying space. Traditional quantum information models often rely on static representations, limiting the ability to accurately capture the complex, evolving behavior of quantum systems. We propose a new model that dynamically shapes the topology of a quantum system, allowing for a more realistic simulation of quantum information's journey. The model's core mechanism leverages the interplay between topology and quantum information, enabling a qualitatively different approach to quantum information processing and storage. This approach has the potential to offer improved performance and robustness compared to static models.