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Showing 118 results for "arjun radhakrishna" · Preprint
Physics Preprint PDF DOI

Asymptotic optimality of Grover-Radhakrishnan-Korepin algorithm

Kun Zhang, Kang-Yuan Chen, Xiao-Hui Wang, Vladimir Korepin · 2026

Grover's algorithm is a cornerstone of quantum algorithms and is strictly optimal in oracle-query complexity. While the full search problem admits no further improvement, one may trade accuracy for sp…

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AI & Data Science Preprint PDF DOI

Breaking Data Symmetry is Needed For Generalization in Feature Learning Kernels

Marcel Tomas Bernal, Neil Rohit Mallinar, Mikhail Belkin · 2026

Grokking occurs when a model achieves high training accuracy but generalization to unseen test points happens long after that. This phenomenon was initially observed on a class of algebraic problems, …

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Physics Preprint PDF DOI

Gaia DR3 high radial velocity stars: Genuine fast-moving objects or outliers?

D. Katz, A. Gomez, E. Caffau, P. Bonifacio, C. Hottier, O. Vanel, C. Soubiran, P. Panuzzo, D. Chosson, P. Sartoretti, R. Lallement, P. Di Matteo, M. Haywood, N. Robichon, S. Baker, A. Barbier, D. Bashi, K. Benson, R. Blomme, N. Brouillet, L. Casamiquella, L. Chemin, M. Cropper, Y. Damerdji, C. Dolding, S. Faigler, Y. Fremat, E. Gosset, A. Guerrier, R. Haigron, H.E. Huckle, N. Leclerc, A. Lobel, O. Marchal, T. Mazeh, A. Mints, F. Royer, G. M. Seabroke, M. Smith, O. Snaith, F. Thevenin, K. Weingrill · 2026

The third Gaia data release includes 33.8 million radial velocity measurements, extending to a magnitude of G_RVS = 14. To reach this magnitude limit, spectra were processed down to a signal-to-noise …

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Physics Preprint PDF DOI

Exact bounds on quantum partial search algorithm and improving the parallel search

Yan-Bo Jiang, Xiao-Hui Wang, Kun Zhang, Vladimir Korepin · 2026

Grover's algorithm provides a quadratic speedup over classical algorithms for searching unstructured databases and is known to be strictly optimal in oracle query complexity, with tight bounds on its …

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Physics Preprint PDF DOI

Path Sampling for Rare Events Boosted by Machine Learning

Porhouy Minh, Sapna Sarupria · 2026

The study by Jung et al. (Jung H, Covino R, Arjun A, et al., Nat Comput Sci. 3:334-345 (2023)) introduced Artificial Intelligence for Molecular Mechanism Discovery (AIMMD), a novel sampling algorithm …

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Mathematics Preprint PDF DOI

The spin of prime ideals and level-raising of even Galois representations

Marius Fischer, Peter Vang Uttenthal · 2025

By extending the notion of spin of prime ideals, we show that a short character sum conjecture implies that the set of primes raising the level of a certain even Galois representation has density 2/3,…

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AI & Data Science Preprint PDF DOI

On the Neural Feature Ansatz for Deep Neural Networks

Edward Tansley, Estelle Massart, Coralia Cartis · 2025

Understanding feature learning is an important open question in establishing a mathematical foundation for deep neural networks. The Neural Feature Ansatz (NFA) states that after training, the Gram ma…

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Physics Preprint PDF DOI

A Novel Approach to Identifying Substructures Through Analysis of Metallicity Distribution Functions

Young Kwang Kim, Young Sun Lee, Timothy C. Beers · 2025

We present a new method for identifying Galactic halo substructures accreted from dwarf galaxies by combining metallicity distribution functions (MDFs) with orbital parameters. Using apogalactic dista…

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Mathematics Preprint PDF DOI

On S-Split p-Hilbert Class Field Towers with Prescribed Galois Groups

Christian Maire (FEMTO-ST, UMLP), Karim Sankara (UNB) · 2025

In this work, we show that given a finite p-group G, a number field K having a trivial p-class group Cl K , and a finite set of primes S of K, there exists a finite extension F/K such that the S-split…

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Mathematics Preprint PDF DOI

Streamlined WZ method proofs of Van Hamme supercongruences

Andres Valloud · 2025

Using the WZ method to prove supercongruences critically depends on an inspired WZ pair choice. This paper demonstrates a procedure for finding WZ pair candidates to prove a given supercongruence. Whe…

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AI & Data Science Preprint PDF DOI

The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations

Enric Boix-Adsera, Neil Mallinar, James B. Simon, Mikhail Belkin · 2025

It is a central challenge in deep learning to understand how neural networks learn representations. A leading approach is the Neural Feature Ansatz (NFA) (Radhakrishnan et al. 2024), a conjectured mec…

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Mathematics Preprint PDF DOI

Semisimplifying Lie algebras of $J$-ternary algebras in characteristic $3$

Michiel Smet · 2025

We describe a class of Lie superalgebras in characteristic $3$, containing the Elduque-Cunha superalgebras $\mathfrak{g}(3,3), \mathfrak{g}(6,6)$ and the Elduque superalgebra $\mathfrak{el}(5,3)$, usi…

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Mathematics Preprint PDF DOI

Deformations of reducible Galois representations with large Selmer $p$-rank

Eknath Ghate, Anwesh Ray · 2025

Let $p\geq 5$ be a prime number. In this paper, we construct Galois representations associated with modular forms for which the dimension of the $p$-torsion in the Bloch-Kato Selmer group can be made …

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Computer Science Preprint PDF DOI

Enhancing Productivity in Database Management Through AI: A Three-Phase Approach for Database

Kushagra Parashar, Ajay Dev, Aditya Kumar, Darpan Khatri · 2025

This paper presents a novel AI-powered framework designed to streamline database management and query optimization for PostgreSQL systems. Structured in three phases: Natural Language to SQL Translati…

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Mathematics Preprint PDF DOI

Comparison of arm exponents in planar FK-percolation

Loic Gassmann, Ioan Manolescu · 2024

By the FKG inequality for FK-percolation, the probability of the alternating two-arm event is smaller than the product of the probabilities of having a primal arm and a dual arm, respectively. In this…

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Mathematics Preprint PDF DOI

LLL Algorithm for Lattice Basis Reduction

Alex Kalbach, Ted Chinburg · 2024

This is an expository paper intended to introduce the polynomial time lattice basis reduction algorithm first described by Arjen Lenstra, Hendrik Lenstra, and L\'aszl\'o Lov\'asz in 1982. We begin by …

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Physics Preprint PDF DOI

Exploration of Halo Substructures in IoM Space with \textit{Gaia} DR3

Haoyang Liu, Cuihua Du, Dashuang Ye, Jian Zhang, Mingji Deng · 2024

Using kinematic data from the Gaia Data Release 3 catalog, along with metallicity estimates robustly derived from Gaia XP spectra, we have explored the Galactic stellar halo in search of both known an…

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Mathematics Preprint PDF DOI

Forcing ramification in the relative deformation method

Stefan Nikoloski · 2024

In this paper we generalize the forcing ramification argument of Khare-Ramakrishna to the setting of the lifting result by Fakhruddin-Khare-Patrikis. In particular, we show that in the relative deform…

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Physics Preprint PDF DOI

The Rapid Formation of the Metal Poor Milky Way

Turner Woody, Charlie Conroy, Phillip Cargile, Ana Bonaca, Vedant Chandra, Jiwon Jesse Han, Benjamin D. Johnson, Rohan P. Naidu, Yuan-Sen Ting · 2024

Our understanding of the assembly timeline of the Milky Way has been transforming along with the dramatic increase in astrometric and spectroscopic data available over the past several years. Many sub…

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Economics & Finance Preprint PDF DOI

A case study on different one-factor Cheyette models for short maturity caplet calibration

Arun Kumar Polala, Bernhard Hientzsch · 2024

In [1], we calibrated a one-factor Cheyette SLV model with a local volatility that is linear in the benchmark forward rate and an uncorrelated CIR stochastic variance to 3M caplets of various maturiti…

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