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:2306.00057 · Nature

Exploring large-scale entanglement in quantum simulation

Manoj K. Joshi, Christian Kokail, Rick van Bijnen, Florian Kranzl, Torsten V. Zache, R. Blatt, Christian F. Roos, P. Zoller

Published Nov 29, 2023• 83 citations
arXivHTMLPDF
DOI
10.1038/s41586-023-06768-0

Related papers

Entanglement accelerates quantum simulation

Qi Zhao, You Zhou, Andrew M. Childs

arXiv:2406.02379•Nature Physics•Jul 14, 2025•21 citations

Quantum-Accelerated Constraint Propagation for Large-Scale Simulations

Jincheng Zhang

Quantum-Accelerated Constraint Propagation for Large-Scale Simulations Quantum entanglement offers a novel approach to enhancing constraint propagation in large-scale simulations, potentially dramatically reducing computational time and enabling the exploration of more complex scenarios. This paper investigates the feasibility and potential benefits of employing quantum algorithms to optimize constraint propagation, a crucial step in many simulation frameworks. We explore the challenges of implementing quantum algorithms within the context of constraint propagation, focusing on the inherent complexity of the problem and the need for efficient quantum representations. This work presents a conceptual framework and preliminary results demonstrating the potential for quantum acceleration through tailored entanglement strategies. The core claim is that a carefully designed quantum algorithm can significantly speed up constraint propagation, allowing for more thorough exploration of the solution space, ultimately leading to improved simulation results.

•Sep 1, 2026•0 citations

Entanglement and efficient simulation of many-body quantum systems

Guifré Vidal

Bulletin of the American Physical Society•Mar 7, 2007•0 citations

Quantum Simulation of Adaptive Quantum State Exploration

Jincheng Zhang

Quantum simulation offers a powerful tool for exploring complex quantum systems, but traditional methods often struggle with large-scale simulations and the need for efficient optimization. This paper introduces a novel quantum simulation algorithm, "Adaptive Quantum State Exploration," designed to overcome these limitations through dynamic parameter adjustment based on input data. We propose a framework that leverages the inherent adaptability of quantum simulation to intelligently optimize the simulation process, leading to significantly improved exploration and optimization capabilities. The core mechanism focuses on dynamically adjusting quantum parameters to enhance the representation of the system's state, ultimately enabling faster and more effective discovery of optimal quantum states. This work addresses the limitations of conventional quantum simulations and paves the way for more sophisticated and efficient quantum algorithm development.

•Sep 4, 2026•0 citations

Mode Structure in Superconducting Metamaterial Transmission-Line Resonators

H. Wang, Alexander P. Zhuravel, S. Indrajeet +8 more

Multimode microwave resonators that can be strongly coupled to superconducting qubits allow exploration of large-scale entanglement, or quantum simulations of many-body phenomena. Typically, long superconducting transmission lines or large arrays of transmission-line resonators are required. This work demonstrates superconducting metamaterial resonators with a dense mode spectrum above a low-frequency band gap. Imaging of the microwave fields shows that these devices exhibit a left-handed dispersion relation, consistent with modeling and simulations. This compact design is compatible with superconducting-qubit integration for applications in quantum information and communication.

arXiv:1812.02579•Physical Review Applied•May 22, 2019•29 citations

Simulation of entanglement generation and variation in quantum computation

Ioannis G. Karafyllidis

Journal of Computational Physics•Jun 7, 2004•9 citations
Quantum-Accelerated Constraint Propagation for Large-Scale Simulations Quantum entanglement offers a novel approach to enhancing constraint propagation in large-scale simulations, potentially dramatically reducing computational time and enabling the exploration of more complex scenarios. This paper investigates the feasibility and potential benefits of employing quantum algorithms to optimize constraint propagation, a crucial step in many simulation frameworks. We explore the challenges of implementing quantum algorithms within the context of constraint propagation, focusing on the inherent complexity of the problem and the need for efficient quantum representations. This work presents a conceptual framework and preliminary results demonstrating the potential for quantum acceleration through tailored entanglement strategies. The core claim is that a carefully designed quantum algorithm can significantly speed up constraint propagation, allowing for more thorough exploration of the solution space, ultimately leading to improved simulation results.
Quantum simulation offers a powerful tool for exploring complex quantum systems, but traditional methods often struggle with large-scale simulations and the need for efficient optimization. This paper introduces a novel quantum simulation algorithm, "Adaptive Quantum State Exploration," designed to overcome these limitations through dynamic parameter adjustment based on input data. We propose a framework that leverages the inherent adaptability of quantum simulation to intelligently optimize the simulation process, leading to significantly improved exploration and optimization capabilities. The core mechanism focuses on dynamically adjusting quantum parameters to enhance the representation of the system's state, ultimately enabling faster and more effective discovery of optimal quantum states. This work addresses the limitations of conventional quantum simulations and paves the way for more sophisticated and efficient quantum algorithm development.
Multimode microwave resonators that can be strongly coupled to superconducting qubits allow exploration of large-scale entanglement, or quantum simulations of many-body phenomena. Typically, long superconducting transmission lines or large arrays of transmission-line resonators are required. This work demonstrates superconducting metamaterial resonators with a dense mode spectrum above a low-frequency band gap. Imaging of the microwave fields shows that these devices exhibit a left-handed dispersion relation, consistent with modeling and simulations. This compact design is compatible with superconducting-qubit integration for applications in quantum information and communication.