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Structurally random matrices (SRMs) are a practical alternative to fully random matrices (FRMs) when generating compressive sensing measurements because of their computational efficiency and their universality with respect to the sparsifing…

Information Theory · Computer Science 2015-07-27 Raziel Haimi-Cohen , Yenming Mark Lai

We investigate the process of random sequential adsorption of polydisperse particles whose size distribution exhibits a power-law dependence in the small size limit, $P(R)\sim R^{\alpha-1}$. We reveal a relation between pattern formation…

Statistical Mechanics · Physics 2009-10-31 N. V. Brilliantov , Yu. A. Andrienko , P. L. Krapivsky , J. Kurths

Jamming is a phenomenon shared by a wide variety of systems, such as granular materials, foams, and glasses in their high density regime. This has motivated the development of a theoretical framework capable of explaining many of their…

Statistical Mechanics · Physics 2021-06-24 Rafael Díaz Hernández Rojas , Giorgio Parisi , Federico Ricci-Tersenghi

This paper studies the consistency of the kernel-based neural ranking model K-NRM, a recent state-of-the-art neural IR model, which is important for reproducible research and deployment in the industry. We find that K-NRM has low variance…

Information Retrieval · Computer Science 2018-09-28 Mary Arpita Pyreddy , Varshini Ramaseshan , Narendra Nath Joshi , Zhuyun Dai , Chenyan Xiong , Jamie Callan , Zhiyuan Liu

We argue that a system of straight rigid rods of length k on square lattice with only hard-core interactions shows two phase transitions as a function of density, rho, for k >= 7. The system undergoes a phase transition from the low-density…

Statistical Mechanics · Physics 2015-06-25 Anandamohan Ghosh , Deepak Dhar

A major line of questions in quantum information and computing asks how quickly locally random circuits converge to resemble global randomness. In particular, approximate k-designs are random unitary ensembles that resemble random circuits…

Quantum Physics · Physics 2025-10-14 Nicholas Laracuente

We have developed a multi-scale self-consistent method to study the charge conductivity of a porous system or a metallic matrix alloyed by randomly distributed nonmetallic grains and vacancies by incorporating Schr\"{o}dinger's equation and…

Materials Science · Physics 2023-02-16 Elham Sharafedini , Hossein Hamzehpour , Mohammad Alidoust

Assuming the validity of random matrices for describing the statistics of a closed chaotic quantum system, we study analytically some statistical properties of the S-matrix characterizing scattering in its open counterpart. In the first…

Mesoscale and Nanoscale Physics · Physics 2016-08-31 Yan. V. Fyodorov , H. -J. Sommers

Pairwise alignment of DNA sequencing data is a ubiquitous task in bioinformatics and typically represents a heavy computational burden. State-of-the-art approaches to speed up this task use hashing to identify short segments (k-mers) that…

Machine Learning · Computer Science 2021-02-16 Govinda M. Kamath , Tavor Z. Baharav , Ilan Shomorony

A nearly logarithmic lower bound on the randomized competitive ratio for the metrical task systems problem is presented. This implies a similar lower bound for the extensively studied k-server problem. The proof is based on Ramsey-type…

Data Structures and Algorithms · Computer Science 2007-05-23 Yair Bartal , Bela Bollobas , Manor Mendel

The spatial-temporal distribution of absorption-line systems (ALSs) observed in QSO spectra within the cosmological redshift interval z = 0.0--4.3 is investigated on the base of our updated catalog of absorption systems. We consider so…

Cosmology and Nongalactic Astrophysics · Physics 2010-07-16 A. I. Ryabinkov , A. D. Kaminker

We study some mesoscopic properties of electron transport by employing one-dimensional chains and Anderson tight-binding model. Principal attention is paid to the resistance of finite-length chains with disordered white-noise potential. We…

Mesoscale and Nanoscale Physics · Physics 2015-06-24 V. Dossetti-Romero , F. M. Izrailev , A. A. Krokhin

The Potts model plays an essential role in classical statistical mechanics, illustrating many fundamental phenomena. One example is the existence of partially long-range-ordered states, in which some degrees of freedom remain disordered.…

Statistical Mechanics · Physics 2014-10-27 M. P. Qin , Q. N. Chen , Z. Y. Xie , J. Chen , J. F. Yu , H. H. Zhao , B. Normand , T. Xiang

Tensor models play an increasingly prominent role in many fields, notably in machine learning. In several applications, such as community detection, topic modeling and Gaussian mixture learning, one must estimate a low-rank signal from a…

Machine Learning · Statistics 2022-06-16 José Henrique de Morais Goulart , Romain Couillet , Pierre Comon

In this study, we investigate the dynamics of the quantum kicked rotor in the near-resonant regime and observe distinct caustic structures, such as recurring cusps, cusp oscillations, and reticular cusp patterns in high-order resonant…

Quantum Physics · Physics 2026-02-12 Yi Cao , Shaowen Lan , Bin Sun , Jie Liu

We have studied damping in polycrystalline Al nanomechanical resonators by measuring the temperature dependence of their resonance frequency and quality factor over a temperature range of 0.1 - 4 K. Two regimes are clearly distinguished…

Mesoscale and Nanoscale Physics · Physics 2015-05-18 F. Hoehne , Yu. A. Pashkin , O. Astafiev , L. Faoro , L. B. Ioffe , Y. Nakamura , J. S. Tsai

We study the randomized k-server problem on metric spaces consisting of widely separated subspaces. We give a method which extends existing algorithms to larger spaces with the growth rate of the competitive quotients being at most O(log…

Data Structures and Algorithms · Computer Science 2007-08-20 Judit Nagy-György

We characterize the jammed state structure of the random sequential adsorption of segments of two different sizes on a line. To this end, we define the size ratio as a dimensionless quantity measuring the length of the large segments in…

Statistical Mechanics · Physics 2011-07-29 N. A. M. Araujo , A. Cadilhe

This chapter is devoted to the analysis of jamming and percolation behavior of two-dimensional systems of elongated particles. We consider both continuous and discrete spaces (with the special attention to the square lattice), as well the…

Disordered Systems and Neural Networks · Physics 2020-06-26 Nikolai I. Lebovka , Yuri Yu. Tarasevich

Quantum resonances in the kicked rotor are characterized by a dramatically increased energy absorption rate, in stark contrast to the momentum localization generally observed. These resonances occur when the scaled Planck's constant…

Quantum Physics · Physics 2015-06-26 J. F. Kanem , S. Maneshi , M. Partlow , M. Spanner , A. M. Steinberg