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:2601.03821 · Physical review. B./Physical review. B

Topological Sensing in the Dynamics of Quantum Walks with Defects

Xiaowei Tong, Xingze Qiu, Xiang Zhan, Quan Lin, Kunkun Wang, Franco Nori, Peng Xue

quant-phcond-mat.mes-hallSubmitted Jan 7, 2026• Announced Jan 8, 2026• 2 citations
arXivHTMLPDF

Abstract

Topological quantum sensing leverages unique topological features to suppress noise and improve the precision of parameter estimation, emerging as a promising tool in both fundamental research and practical application. In this Letter, we propose a sensing protocol that exploits the dynamics of topological quantum walks incorporating localized defects. Unlike conventional schemes that rely on topological protection to suppress disorder and defects, our protocol harnesses the evolution time as a resource to enable precise estimation of the defect parameter. By utilizing topologically nontrivial properties of the quantum walks, the sensing precision can approach the Heisenberg limit. We further demonstrate the performance and robustness of the protocol through Bayesian estimation. Our results show that this approach maintains high precision over a broad range of parameters and exhibits strong robustness against disorder, offering a practical pathway for topologically enhanced quantum metrology.

Journal reference
Phys. Rev. B 112, L241116 (2025)
DOI
10.1103/3jtm-nxt4
Comments
13 pages, 9 figures

Related papers

Dynamic Quantum Entanglement Topological Network Protocol

Jincheng Zhang

This paper proposes a novel protocol for dynamic quantum entanglement topological network, aiming to achieve robust quantum communication and distributed quantum computation. The core of the protocol relies on leveraging topological protection of quantum states and dynamic adjustment of entanglement within a topological quantum network. We introduce a framework that utilizes the inherent topological properties of entangled states to construct fault-tolerant encoding schemes. Real-time control of the network topology allows for optimization of entanglement quality and overall network performance. The proposed approach addresses the vulnerability of traditional quantum networks to noise by incorporating topological protection and dynamic control, offering a fundamentally new network architecture. The protocol's key features include adaptable error correction, enhanced entanglement distribution, and scalable quantum network design. We outline the mathematical foundation for the protocol, including the entanglement fidelity metrics and topological network optimization algorithms. This work represents a significant step towards practical, robust quantum networks capable of supporting complex quantum information processing tasks.

•Aug 28, 2026•0 citations

Topological Quantum States-Based Entanglement Preservation for Quantum Error Correction

Jincheng Zhang

This paper proposes a novel quantum error correction code leveraging the inherent entanglement preservation properties of topological quantum states. Traditional quantum error correction schemes rely on creating and maintaining fragile quantum entanglement, which is highly susceptible to environmental noise. Our approach utilizes the topologically protected nature of certain quantum states to provide a robust mechanism for error detection and correction. We formulate a code based on the controlled-Z operation within a topological qubit architecture, demonstrating a significant improvement in error correction capabilities compared to conventional approaches. Specifically, we define the code parameters, including the code rate, minimum distance, and the required number of physical qubits. We analyze the code's performance under various noise models, highlighting the enhanced resilience due to topological protection. The key innovation lies in harnessing the natural, robust entanglement provided by topological states, offering a pathway to more practical and reliable quantum computation. The theoretical framework presented here provides a foundation for future research and development in topological quantum error correction.

•Aug 29, 2026•0 citations

Quantum sensing with topological-paired bound states

Tao Zhang, Peng Xu, Jiazhong Hu +1 more

Abstract We present an efficient and robust protocol for quantum-enhanced sensing using a single qubit in the topological waveguide system. Our method relies on the topological-paired bound states, which are localized near the qubit and can be effectively regarded as a two-level system. Through the lens of Bayesian inference theory, we show that the sensitivity can reach the Heisenberg limit across a large field range. Inheriting from the topological robustness of the waveguide, our sensing protocol is robust against local perturbations. Besides, our sensing protocol utilizes a product state as the initial state, which can be easily prepared in experiments. We expect this approach would pave the way toward robust topological quantum sensors based on near-term quantum platforms such as superconducting qubits and Rydberg arrays.

arXiv:2311.01370•New Journal of Physics•May 1, 2025•4 citations

Dynamical localization in 2D topological quantum random walks

D. O. Oriekhov, Guliuxin Jin, Eliška Greplová

We study the dynamical localization of discrete time evolution of topological split-step quantum random walk (QRW) on a single-site defect starting from a uniform distribution. Using analytical and numerical calculations, we determine the high localization probability regions in the parameter space of the quantum walker. These regions contain two or more pairs of trapped states, forming near a lattice defect. By investigating the spectral properties of the discrete-time evolution operators, we show that these trapped states have large overlap with the initial uniformly distributed state, thus offering a simple interpretation of the localization effect. As this localization scheme could be interpreted as a variation of spatial quantum search algorithm, we compare the localization probability and time with other types of two-dimensional quantum walks that do not have topological phases and realize localization time scaling similar to Grover's algorithm. Finally we show that mechanism of localization we identified is robust against the influence of disorder.

arXiv:2406.18768•Jun 26, 2024•0 citations

Core Claim: Propose a self-adaptive parameter adjustment strategy for quantum topology model parameters to enhance model accuracy and performance.

Jincheng Zhang

Quantum topology is a rapidly developing field with the potential to revolutionize quantum computing and information processing. It leverages the unique properties of spacetime to create topologically protected quantum states, offering enhanced resilience against noise and decoherence. The accurate modeling of quantum topology is crucial for its successful implementation. However, current parameter estimation techniques often rely on traditional methods, which can be computationally expensive and may not fully capture the complex dynamics governing these systems. This paper introduces a novel self-adaptive parameter adjustment strategy for quantum topology model parameters, aiming to address these limitations and significantly enhance model accuracy and performance. The proposed strategy dynamically adjusts parameters based on observed model behavior, optimizing for both fidelity and stability. We explore a novel approach leveraging a Bayesian optimization framework combined with a reinforcement learning component to iteratively refine parameter values. Our results demonstrate a substantial improvement in model accuracy, particularly in the context of generating complex topological structures, compared to static parameter settings. Furthermore, the proposed method exhibits improved robustness and adaptability to varying input conditions. The design incorporates a mechanism for self-monitoring and error correction, ensuring the model remains well-tuned over extended simulations. This work represents a significant advancement in parameter estimation techniques tailored specifically to the challenges posed by quantum topology modeling. This results in improved model performance and opens up new avenues for research and development in this exciting field.

•Aug 31, 2026•0 citations

Topological Quantum State Based Quantum Key Distribution Protocol

Jincheng Zhang

This paper proposes a novel Quantum Key Distribution (QKD) protocol leveraging the inherent properties of topological quantum states. The core claim is to enhance key security and transmission distance by exploiting the robustness offered by topological protection. The protocol utilizes entanglement between topological qubits and employs phase control and measurement to achieve secure key encryption and distribution. The fundamental mechanism relies on the high fidelity of topological quantum states to mitigate eavesdropping attacks. We demonstrate that this approach overcomes the limitations of conventional QKD protocols that are susceptible to environmental noise due to weak qubit interactions. The protocol offers a promising pathway for long-distance QKD, particularly in environments where maintaining the coherence of individual qubits is challenging. The key mathematical elements of the protocol are presented, including the state preparation, entanglement distribution, key sifting, and error correction phases. The theoretical analysis highlights the security advantages derived from the topological protection mechanism.

•Sep 7, 2026•0 citations
Topological quantum sensing leverages unique topological features to suppress noise and improve the precision of parameter estimation, emerging as a promising tool in both fundamental research and practical application. In this Letter, we propose a sensing protocol that exploits the dynamics of topological quantum walks incorporating localized defects. Unlike conventional schemes that rely on topological protection to suppress disorder and defects, our protocol harnesses the evolution time as a resource to enable precise estimation of the defect parameter. By utilizing topologically nontrivial properties of the quantum walks, the sensing precision can approach the Heisenberg limit. We further demonstrate the performance and robustness of the protocol through Bayesian estimation. Our results show that this approach maintains high precision over a broad range of parameters and exhibits strong robustness against disorder, offering a practical pathway for topologically enhanced quantum metrology.
This paper proposes a novel protocol for dynamic quantum entanglement topological network, aiming to achieve robust quantum communication and distributed quantum computation. The core of the protocol relies on leveraging topological protection of quantum states and dynamic adjustment of entanglement within a topological quantum network. We introduce a framework that utilizes the inherent topological properties of entangled states to construct fault-tolerant encoding schemes. Real-time control of the network topology allows for optimization of entanglement quality and overall network performance. The proposed approach addresses the vulnerability of traditional quantum networks to noise by incorporating topological protection and dynamic control, offering a fundamentally new network architecture. The protocol's key features include adaptable error correction, enhanced entanglement distribution, and scalable quantum network design. We outline the mathematical foundation for the protocol, including the entanglement fidelity metrics and topological network optimization algorithms. This work represents a significant step towards practical, robust quantum networks capable of supporting complex quantum information processing tasks.
This paper proposes a novel quantum error correction code leveraging the inherent entanglement preservation properties of topological quantum states. Traditional quantum error correction schemes rely on creating and maintaining fragile quantum entanglement, which is highly susceptible to environmental noise. Our approach utilizes the topologically protected nature of certain quantum states to provide a robust mechanism for error detection and correction. We formulate a code based on the controlled-Z operation within a topological qubit architecture, demonstrating a significant improvement in error correction capabilities compared to conventional approaches. Specifically, we define the code parameters, including the code rate, minimum distance, and the required number of physical qubits. We analyze the code's performance under various noise models, highlighting the enhanced resilience due to topological protection. The key innovation lies in harnessing the natural, robust entanglement provided by topological states, offering a pathway to more practical and reliable quantum computation. The theoretical framework presented here provides a foundation for future research and development in topological quantum error correction.
Abstract We present an efficient and robust protocol for quantum-enhanced sensing using a single qubit in the topological waveguide system. Our method relies on the topological-paired bound states, which are localized near the qubit and can be effectively regarded as a two-level system. Through the lens of Bayesian inference theory, we show that the sensitivity can reach the Heisenberg limit across a large field range. Inheriting from the topological robustness of the waveguide, our sensing protocol is robust against local perturbations. Besides, our sensing protocol utilizes a product state as the initial state, which can be easily prepared in experiments. We expect this approach would pave the way toward robust topological quantum sensors based on near-term quantum platforms such as superconducting qubits and Rydberg arrays.
We study the dynamical localization of discrete time evolution of topological split-step quantum random walk (QRW) on a single-site defect starting from a uniform distribution. Using analytical and numerical calculations, we determine the high localization probability regions in the parameter space of the quantum walker. These regions contain two or more pairs of trapped states, forming near a lattice defect. By investigating the spectral properties of the discrete-time evolution operators, we show that these trapped states have large overlap with the initial uniformly distributed state, thus offering a simple interpretation of the localization effect. As this localization scheme could be interpreted as a variation of spatial quantum search algorithm, we compare the localization probability and time with other types of two-dimensional quantum walks that do not have topological phases and realize localization time scaling similar to Grover's algorithm. Finally we show that mechanism of localization we identified is robust against the influence of disorder.
Quantum topology is a rapidly developing field with the potential to revolutionize quantum computing and information processing. It leverages the unique properties of spacetime to create topologically protected quantum states, offering enhanced resilience against noise and decoherence. The accurate modeling of quantum topology is crucial for its successful implementation. However, current parameter estimation techniques often rely on traditional methods, which can be computationally expensive and may not fully capture the complex dynamics governing these systems. This paper introduces a novel self-adaptive parameter adjustment strategy for quantum topology model parameters, aiming to address these limitations and significantly enhance model accuracy and performance. The proposed strategy dynamically adjusts parameters based on observed model behavior, optimizing for both fidelity and stability. We explore a novel approach leveraging a Bayesian optimization framework combined with a reinforcement learning component to iteratively refine parameter values. Our results demonstrate a substantial improvement in model accuracy, particularly in the context of generating complex topological structures, compared to static parameter settings. Furthermore, the proposed method exhibits improved robustness and adaptability to varying input conditions. The design incorporates a mechanism for self-monitoring and error correction, ensuring the model remains well-tuned over extended simulations. This work represents a significant advancement in parameter estimation techniques tailored specifically to the challenges posed by quantum topology modeling. This results in improved model performance and opens up new avenues for research and development in this exciting field.
This paper proposes a novel Quantum Key Distribution (QKD) protocol leveraging the inherent properties of topological quantum states. The core claim is to enhance key security and transmission distance by exploiting the robustness offered by topological protection. The protocol utilizes entanglement between topological qubits and employs phase control and measurement to achieve secure key encryption and distribution. The fundamental mechanism relies on the high fidelity of topological quantum states to mitigate eavesdropping attacks. We demonstrate that this approach overcomes the limitations of conventional QKD protocols that are susceptible to environmental noise due to weak qubit interactions. The protocol offers a promising pathway for long-distance QKD, particularly in environments where maintaining the coherence of individual qubits is challenging. The key mathematical elements of the protocol are presented, including the state preparation, entanglement distribution, key sifting, and error correction phases. The theoretical analysis highlights the security advantages derived from the topological protection mechanism.