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

The Entanglement Dimension: A Novel Invariant for Group Structure

Revista, Zen, MATH, 10

Published Dec 6, 2025• 0 citations
Publisher

Abstract

This paper introduces the Entanglement Dimension, a novel group invariant derived from the application of quantum information theory concepts to algebraic structures. Traditional group invariants, such as order, nilpotency class, and solvability length, offer crucial insights but often fail to distinguish between non-isomorphic groups sharing many common properties. By mapping group elements or their representations to quantum states and subsequently quantifying the entanglement present in superpositions formed from these states, we propose a new measure that captures nuanced aspects of group structure. We rigorously define the Entanglement Dimension and demonstrate its computation for various finite groups, including cyclic, dihedral, and symmetric groups. Our results indicate that this invariant can differentiate between groups previously indistinguishable by classical methods, providing a finer characterization of their internal symmetries and interactions. The Entanglement Dimension offers a fresh perspective on group theory, bridging algebraic structures with quantum mechanical principles and opening new avenues for research in both fields, particularly in areas like quantum computing and fundamental physics.

DOI
10.5281/zenodo.17838219

Related papers

Quantum State Analysis of Non-linear Matrix Groups

Jincheng Zhang

This paper presents a novel approach to quantum state analysis of non-linear matrix groups, leveraging the unique properties of quantum entanglement to achieve precise state description and explore nonlinear transformations. We propose a method based on entangled matrix representations, enabling a deeper understanding of the quantum states within these groups. The core mechanism centers around encoding matrix elements within entangled states, allowing for non-linear transformations to be efficiently mapped onto the entanglement structure. The resulting framework offers a significant advancement over traditional methods, providing a more nuanced and quantitatively rigorous approach to quantum state analysis. The paper details the theoretical foundation, initial implementation, and preliminary results demonstrating the effectiveness of this method in characterizing and manipulating quantum states within non-linear matrix groups.

•Sep 6, 2026•0 citations

An algebraic classification of entangled states

Roman V. Buniy, Thomas W. Kephart

We provide a classification of entangled states that uses new discrete entanglement invariants. The invariants are defined by algebraic properties of linear maps associated with the states. We prove a theorem on a correspondence between the invariants and sets of equivalent classes of entangled states. The new method works for an arbitrary finite number of finite-dimensional state subspaces. As an application of the method, we considered a large selection of cases of three subspaces of various dimensions. We also obtain an entanglement classification of four qubits, where we find 27 fundamental sets of classes.

arXiv:1012.2630•Journal of Physics A Mathematical and Theoretical•Apr 20, 2012•16 citations

Title: Quantum Entanglement Metric Quantification

Jincheng Zhang

Quantum entanglement, a cornerstone of quantum mechanics, presents a profound challenge to our understanding of measurement and information. Traditional methods of quantifying entanglement, such as correlation measurements, often fail to capture the subtle nuances and interconnectedness of these fundamental phenomena. This paper introduces a novel metric, the 'Entanglement Flow,' designed to quantify the distance between entangled quantum systems, leveraging principles from quantum information theory and incorporating non-classical entanglement properties. The core mechanism centers on the concept of an entanglement flow, which dynamically tracks the evolution of entanglement across a system, providing a quantifiable measure of its connectedness. This approach moves beyond simple correlation analysis and offers a more sophisticated framework for characterizing the robustness and nature of quantum correlations. We demonstrate the effectiveness of this metric through rigorous theoretical analysis and preliminary experimental validation, suggesting it has the potential to significantly advance our comprehension of entanglement dynamics.

•Aug 31, 2026•0 citations

Galois Symmetries in the Classification and Quantification of Quantum Entanglement

Bilal Benzimoun, Abdelali Sajia

Quantum entanglement, a cornerstone of quantum mechanics, remains challenging to classify, particularly in multipartite systems. Here, we present a new interpretation of entanglement classification by revealing a profound connection to Galois groups, the algebraic structures governing polynomial symmetries. This approach not only uncovers hidden geometric relationships between entangled quantum states and polynomial roots but also introduces a method for quantifying entanglement in multi-qubit symmetric states. By reframing the classification of GHZ, W, and separable states within the structure of Galois symmetries, we establish a previously unrecognized hierarchy in their entanglement properties. This work bridges the mathematical elegance of Galois theory with the complexities of quantum mechanics, opening pathways for advances in quantum computing and information theory.

arXiv:2410.08370•Oct 10, 2024•0 citations

Entanglement Quantification via Determinantal Polynomials

PAULO SÉRGIO DE ANDRADE

Entanglement, a fundamental resource in quantum information science, underpins many quantum technologies, including quantum computation and cryptography. Quantifying entanglement is a critical challenge, especially for mixed states and higher-dimensional systems, where existing measures often face computational complexities or lack analytical closed-form expressions. This paper introduces a novel approach to entanglement quantification utilizing determinantal polynomials. We propose a framework where entanglement properties of quantum states, particularly their degree and type, can be characterized and potentially measured through the analysis of determinants derived from state representations, such as density matrices and their partial transposes. By constructing specific polynomial functions whose roots or coefficients are directly linked to entanglement measures or criteria, we aim to provide a more tractable and potentially analytical pathway for quantifying entanglement. The methodology leverages advanced concepts from linear algebra and algebraic geometry, connecting the algebraic properties of quantum states to their entanglement features. This work discusses the theoretical underpinnings, provides illustrative examples for low-dimensional systems, and explores the potential of this method to overcome some limitations of current entanglement measures, offering a new perspective on the algebraic structure of entanglement.

•Nov 24, 2025•0 citations

Non-Linear Geometric Groups: A Quantum Entanglement-Based Computation Framework

Jincheng Zhang

This paper introduces a novel computational framework for analyzing non-linear geometric groups leveraging the principles of quantum entanglement. We propose a quantum-enhanced algorithm that accelerates the computation of crucial geometric group properties by exploiting the unique properties of entangled states. The core mechanism centers on utilizing entanglement to represent and manipulate geometric group structures, enabling significantly reduced computational complexity compared to traditional methods. The research demonstrates the potential of this approach to efficiently assess the behavior and properties of complex geometric groups, offering a promising avenue for advancing geometric analysis and related fields.

•Aug 31, 2026•0 citations
This paper introduces the Entanglement Dimension, a novel group invariant derived from the application of quantum information theory concepts to algebraic structures. Traditional group invariants, such as order, nilpotency class, and solvability length, offer crucial insights but often fail to distinguish between non-isomorphic groups sharing many common properties. By mapping group elements or their representations to quantum states and subsequently quantifying the entanglement present in superpositions formed from these states, we propose a new measure that captures nuanced aspects of group structure. We rigorously define the Entanglement Dimension and demonstrate its computation for various finite groups, including cyclic, dihedral, and symmetric groups. Our results indicate that this invariant can differentiate between groups previously indistinguishable by classical methods, providing a finer characterization of their internal symmetries and interactions. The Entanglement Dimension offers a fresh perspective on group theory, bridging algebraic structures with quantum mechanical principles and opening new avenues for research in both fields, particularly in areas like quantum computing and fundamental physics.
This paper presents a novel approach to quantum state analysis of non-linear matrix groups, leveraging the unique properties of quantum entanglement to achieve precise state description and explore nonlinear transformations. We propose a method based on entangled matrix representations, enabling a deeper understanding of the quantum states within these groups. The core mechanism centers around encoding matrix elements within entangled states, allowing for non-linear transformations to be efficiently mapped onto the entanglement structure. The resulting framework offers a significant advancement over traditional methods, providing a more nuanced and quantitatively rigorous approach to quantum state analysis. The paper details the theoretical foundation, initial implementation, and preliminary results demonstrating the effectiveness of this method in characterizing and manipulating quantum states within non-linear matrix groups.
We provide a classification of entangled states that uses new discrete entanglement invariants. The invariants are defined by algebraic properties of linear maps associated with the states. We prove a theorem on a correspondence between the invariants and sets of equivalent classes of entangled states. The new method works for an arbitrary finite number of finite-dimensional state subspaces. As an application of the method, we considered a large selection of cases of three subspaces of various dimensions. We also obtain an entanglement classification of four qubits, where we find 27 fundamental sets of classes.
Quantum entanglement, a cornerstone of quantum mechanics, presents a profound challenge to our understanding of measurement and information. Traditional methods of quantifying entanglement, such as correlation measurements, often fail to capture the subtle nuances and interconnectedness of these fundamental phenomena. This paper introduces a novel metric, the 'Entanglement Flow,' designed to quantify the distance between entangled quantum systems, leveraging principles from quantum information theory and incorporating non-classical entanglement properties. The core mechanism centers on the concept of an entanglement flow, which dynamically tracks the evolution of entanglement across a system, providing a quantifiable measure of its connectedness. This approach moves beyond simple correlation analysis and offers a more sophisticated framework for characterizing the robustness and nature of quantum correlations. We demonstrate the effectiveness of this metric through rigorous theoretical analysis and preliminary experimental validation, suggesting it has the potential to significantly advance our comprehension of entanglement dynamics.
Quantum entanglement, a cornerstone of quantum mechanics, remains challenging to classify, particularly in multipartite systems. Here, we present a new interpretation of entanglement classification by revealing a profound connection to Galois groups, the algebraic structures governing polynomial symmetries. This approach not only uncovers hidden geometric relationships between entangled quantum states and polynomial roots but also introduces a method for quantifying entanglement in multi-qubit symmetric states. By reframing the classification of GHZ, W, and separable states within the structure of Galois symmetries, we establish a previously unrecognized hierarchy in their entanglement properties. This work bridges the mathematical elegance of Galois theory with the complexities of quantum mechanics, opening pathways for advances in quantum computing and information theory.
Entanglement, a fundamental resource in quantum information science, underpins many quantum technologies, including quantum computation and cryptography. Quantifying entanglement is a critical challenge, especially for mixed states and higher-dimensional systems, where existing measures often face computational complexities or lack analytical closed-form expressions. This paper introduces a novel approach to entanglement quantification utilizing determinantal polynomials. We propose a framework where entanglement properties of quantum states, particularly their degree and type, can be characterized and potentially measured through the analysis of determinants derived from state representations, such as density matrices and their partial transposes. By constructing specific polynomial functions whose roots or coefficients are directly linked to entanglement measures or criteria, we aim to provide a more tractable and potentially analytical pathway for quantifying entanglement. The methodology leverages advanced concepts from linear algebra and algebraic geometry, connecting the algebraic properties of quantum states to their entanglement features. This work discusses the theoretical underpinnings, provides illustrative examples for low-dimensional systems, and explores the potential of this method to overcome some limitations of current entanglement measures, offering a new perspective on the algebraic structure of entanglement.
This paper introduces a novel computational framework for analyzing non-linear geometric groups leveraging the principles of quantum entanglement. We propose a quantum-enhanced algorithm that accelerates the computation of crucial geometric group properties by exploiting the unique properties of entangled states. The core mechanism centers on utilizing entanglement to represent and manipulate geometric group structures, enabling significantly reduced computational complexity compared to traditional methods. The research demonstrates the potential of this approach to efficiently assess the behavior and properties of complex geometric groups, offering a promising avenue for advancing geometric analysis and related fields.