English
Related papers

Related papers: Long-range nonstabilizerness of topologically enco…

200 papers

Ordered phases in Landau paradigm can be diagnosed by a local order parameter, whereas topologically ordered phases cannot be detected in such a way. In this paper, we propose long-range mutual information(LRMI) as a unified diagnostic for…

Strongly Correlated Electrons · Physics 2015-09-11 Chao-Ming Jian , Isaac H. Kim , Xiao-Liang Qi

Quantum entanglement is a particularly useful characterization of topological orders which lack conventional order parameters. In this work, we study the entanglement in topologically ordered states between two arbitrary spatial regions,…

Strongly Correlated Electrons · Physics 2023-08-01 Chao Yin , Shang Liu

We study nonstabilizerness on the information lattice, and demonstrate that noninteger local information directly indicates nonstabilizerness. For states with a clear separation of short- and large-scale information, noninteger total…

As a necessary resource for quantum computational advantage, quantum magic (nonstabilizerness) is of fundamental importance in the study of quantum computation and physics. We develop a systematic theory of \emph{long-range magic (LRM)} --…

Quantum Physics · Physics 2026-02-27 Fuchuan Wei , Zi-Wen Liu

Long-range nonstabilizerness can be defined as the amount of nonstabilizerness which cannot be removed by shallow local quantum circuits. In this work, we study long-range nonstabilizerness in the context of many-body quantum physics, a…

Quantum Physics · Physics 2025-10-17 David Aram Korbany , Michael J. Gullans , Lorenzo Piroli

Nonlinear dynamical systems such as Lorenz63 equations are known to be chaotic in nature and sensitive to initial conditions. As a result, a small perturbation in the initial conditions results in deviation in state trajectory after a few…

Dynamical Systems · Mathematics 2021-06-17 Megha Subramanian , Ramakrishna Tipireddy , Samrat Chatterjee

The essence of the famed long-range entanglement as revealed in topologically ordered state is the paradoxical coexistence of short-range correlation and nonlocal information that cannot be removed through constant-depth local quantum…

Quantum Physics · Physics 2023-01-31 Wei Wang

Artificial neural networks and machine learning have now reached a new era after several decades of improvement where applications are to explode in many fields of science, industry, and technology. Here, we use artificial neural networks…

Disordered Systems and Neural Networks · Physics 2017-11-23 Dong-Ling Deng , Xiaopeng Li , S. Das Sarma

Reinforcement Learning (RL) agents deployed in real-world environments face degradation from sensor faults, actuator wear, and environmental shifts, yet lack intrinsic mechanisms to detect and diagnose these failures. We present an…

Artificial Intelligence · Computer Science 2025-09-15 Cameron Reid , Wael Hafez , Amirhossein Nazeri

In this work, we develop a novel regularizer to improve the learning of long-range dependency of sequence data. Applied on language modelling, our regularizer expresses the inductive bias that sequence variables should have high mutual…

Machine Learning · Computer Science 2020-02-25 Yanshuai Cao , Peng Xu

A general inequality between entanglement entropy and a number of topologically ordered states is derived, even without using the properties of the parent Hamiltonian or the formalism of topological quantum field theory. Given a quantum…

Quantum Physics · Physics 2013-10-03 Isaac H. Kim

Overfitting data is a well-known phenomenon related with the generation of a model that mimics too closely (or exactly) a particular instance of data, and may therefore fail to predict future observations reliably. In practice, this…

Machine Learning · Statistics 2023-04-14 Matias Vera , Leonardo Rey Vega , Pablo Piantanida

Topological order comes in different forms, and its classification and detection is an important field of modern research. In this work, we show that the Disconnected Entanglement Entropy, a measure originally introduced to identify…

Strongly Correlated Electrons · Physics 2025-01-22 Gianpaolo Torre , Jovan Odavić , Pierre Fromholz , Salvatore Marco Giampaolo , Fabio Franchini

As a quantum-informative window into quantum many-body physics, the concept and application of entanglement renormalization group (ERG) have been playing a vital role in the study of novel quantum phases of matter, especially long-range…

Quantum Physics · Physics 2023-03-31 Meng-Yuan Li , Peng Ye

We study nuclear relaxation in the presence of localized electrons in a two-dimensional electron gas in a disordered delta-doped semiconductor heterostructure and show that this method can reliably probe their magnetic interactions and…

Strongly Correlated Electrons · Physics 2009-09-01 Kusum Dhochak , V. Tripathi

During the last few years an area of active research in the field of complex systems is that of their information storing and processing abilities. Common opinion has it that the most interesting beaviour of these systems is found ``at the…

adap-org · Physics 2007-05-23 Bartolo Luque , Antonio Ferrera

We study different aspects of quantum von Neumann and R\'enyi entanglement entropy of one dimensional long-range harmonic oscillators that can be described by well-defined non-local field theories. We show that the entanglement entropy of…

Statistical Mechanics · Physics 2013-07-19 M. Ghasemi Nezhadhaghighi , M. A. Rajabpour

Entanglement, a manifestation of quantumness of correlations between the observables of the subsystems of a composite system, and the quantumness of their mutual information are widely studied characteristics of a system of spin-1/2…

Quantum Physics · Physics 2015-06-23 R. R. Puri

Out-of-equilibrium states of many-body systems tend to evade a description by standard statistical mechanics, and their uniqueness is epitomized by the possibility of certain long-range correlations that cannot occur in equilibrium. In…

Quantum Physics · Physics 2024-04-02 Shachar Fraenkel , Moshe Goldstein

Recent advances in large language models (LLMs) have revolutionized natural language processing, yet evaluating their intrinsic linguistic understanding remains challenging. Moving beyond specialized evaluation tasks, we propose an…

Computation and Language · Computer Science 2025-06-02 Shaojie Wang , Sirui Ding , Na Zou
‹ Prev 1 2 3 10 Next ›