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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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25.0%50.0%75.0%100.0% · Jun 199319922001200920182026
48 results for classical results

We study concordance of virtual knots. Our main result is that a classical knot K is virtually slice if and only if it is classically slice. From this we deduce that the concordance group of classical knots embeds into the concordance group of long virtual knots.

2016-06-21abs ↗pdf ↗

We define a group-valued invariant of virtual knots and relate it to various other group-valued invariants of virtual knots, including the extended group of Silver-Williams and the quandle group of Manturov and Bardakov-Bellingeri. A virtual knot is called almost classical if it admits a diagram with an Alexander numbe…

2015-06-04abs ↗pdf ↗

Classical matrix perturbation results, such as Weyl's theorem for eigenvalues and the Davis-Kahan theorem for eigenvectors, are general purpose. These classical bounds are tight in the worst case, but in many settings sub-optimal in the typical case. In this paper, we present perturbation bounds which consider the natu…

2017-06-20abs ↗pdf ↗

Extends classical results to virtual links, proving new properties of alternating and semi-alternating virtual links.

problem Classical results for virtual links, focusing on alternating and semi-alternating links.
method Inequality relating link determinant and crossing number, matrix-tree theorem, Tait conjectures for virtual and welded links.
result Alexander polynomial of almost classical alternating virtual links is alternating.

Nearly all field theories suffer from singularities when particles are introduced. This is true in both classical and quantum physics. Classical field singularities result in the notorious self-force problem, where it is unknown how the dynamics of a particle change when the particle interacts with its own (self) field…

2015-03-03abs ↗pdf ↗

Study expands classical harmonic function results to Riemannian manifolds.

problem Classical harmonic function properties in domains of Riemannian manifolds.
method Generalized classical results to Riemannian manifolds, including pinched negative curvature.
result Generalized results for Riemannian manifolds, including pinched negative curvature.

Study compares quantum and classical ML in crypto trading, finding hybrid models outperform.

problem Comparing quantum and classical machine learning in crypto trading strategies.
method Backtesting 10 models across multiple crypto assets using classical ML, quantum ML, hybrid models, and transformer models.
result Hybrid quantum models achieve superior performance with 13.99% return and 1.76 Sharpe ratio.

Quantum CNNs can be efficiently simulated classically on simple datasets.

problem Quantum CNNs' success on simple datasets is due to low-bodyness measurements.
method Classical simulation using Pauli shadows on low-bodyness subspace.
result Quantum CNNs' action on low-bodyness subspace can be efficiently simulated classically.

The main results of this paper are an asymptotic expansion in powers of \hbar for the spectral measure μμ_\hbar of a semi-classical Toeplitz operator, QQ_\hbar, and an equivariant version of this result when QQ_\hbar admits an nn-torus as a symmetry group. In addition we discuss some inverse spectral consequences…

2017-06-13abs ↗pdf ↗

In this short note we show how the higher index theory can be used to prove results concerning the non-existence of complete riemannian metric with uniformly positive scalar curvature at infinity. By improving some classical results due to M. Gromov and B. Lawson we show the efficiency of these methods in dealing with …

2009-12-17abs ↗pdf ↗

Model financial markets using open quantum systems to understand market imperfections.

problem Understanding market imperfections through imperfect trading mechanisms.
method Using open quantum systems to represent financial markets, characterizing orbits, and analyzing reduced density matrices.
result Non-classical modes of time evolution can incorporate factors like illiquid trades and imperfect trading mechanisms.

In one dimension, the theory of the GG-normal distribution is well-developed, and many results from the classical setting have a nonlinear counterpart. Significant challenges remain in multiple dimensions, and some of what has already been discovered is quite nonintuitive. By answering several classically-inspired que…

2014-07-19abs ↗pdf ↗

We observe that any knot invariant extends to virtual knots. The isotopy classification problem for virtual knots is reduced to an algebraic problem formulated in terms of an algebra of arrow diagrams. We introduce a new notion of finite type invariant and show that the restriction of any such invariant of degree n to …

1998-10-12abs ↗pdf ↗

Paper constructs cyclic coverings of virtual link diagrams, proving equivalence of certain maps.

problem Constructing and proving equivalence of cyclic coverings of virtual link diagrams.
method Introducing mm-fold cyclic covering diagrams and proving their equivalence to original diagrams.
result Well-defined map from virtual links to mod mm almost classical virtual links.

he celebrated formula of Schlafli relates the variation of the dihedral angles of a smooth family of polyhedra in a space form and the variation of volume. We give a smooth analogue of this classical formula -- our result relates the variation of the volume bounded by a hypersurface moving in a general Einstein manifol…

2000-01-29abs ↗pdf ↗

Quantum computing improves feature selection in machine learning.

problem Optimizing feature selection in machine learning problems.
method Formulated feature selection as a QUBO problem and compared quantum and classical methods.
result Quantum computing can outperform classical methods in feature selection, depending on data set.

LLMs struggle to optimize hyperparameters efficiently, but hybrid methods can improve performance.

problem Optimizing hyperparameters of small language models using LLMs.
method Comparison of classical HPO algorithms and LLM-based methods, introducing Centaur hybrid approach.
result Hybrid Centaur approach achieves best results, outperforming classical and pure LLM methods.

This paper asks, "Do classics exist in megaproject management?" We identify three types of classic texts: conventional, Kuhnian, and citation classics. We find that the answer to our question depends on the definition of "classic" employed. First, "citation classics" do exist in megaproject management, and they perform…

2017-09-06abs ↗pdf ↗

We show that a surface group of high genus contained in a classical simple Lie group can be deformed to become Zariski dense, unless the Lie group is SU(p,q)SU(p,q) (resp. SO(2n)SO^* (2n), nn odd) and the surface group is maximal in some S(U(p,p)×U(qp))SU(p,q)S(U(p,p)\times U(q-p))\subset SU(p,q) (resp. SO(2n2)×SO(2)SO(2n)SO^* (2n-2)\times SO(2)\subset SO^* (2n))…

2011-01-06abs ↗pdf ↗

This is survey about the classical knot concordance group, prepared for an upcoming handbook of knot theory. Topics include: the basic definitions of concordance; the theory of algebraic concordance as developed by Levine; the theory of Casson-Gordon invariants; applications of topological surgery as developed by Freed…

2003-07-06abs ↗pdf ↗

We discuss classical gravitational aspects of the AdS/CFT correspondence, with the aim of obtaining a rigorous (mathematical) understanding of the semi-classical limit of the gravitational partition function. The paper surveys recent progress in the area, together with a selection of new results and open problems.

2004-03-08abs ↗pdf ↗

Quantum machine learning offers advantages for broader learning tasks.

problem Demonstrate QML advantage over classical methods for general learning tasks.
method Construct a new family of supervised learning tasks and prove their hardness.
result Prove provable advantage of QML based on general quantum computational advantages.

The classical duality theory of Kantorovich and Kellerer for the classical optimal transport is generalized to an abstract framework and a characterization of the dual elements is provided. This abstract generalization is set in a Banach lattice X\cal{X} with a order unit. The primal problem is given as the supremum o…

2016-10-10abs ↗pdf ↗

We obtain algebraic Frobenius manifolds from classical WW-algebras associated to subregular nilpotent elements in simple Lie algebras of type DrD_r where rr is even and ErE_r. The resulting Frobenius manifolds are certain hypersurfaces in the total spaces of semiuniversal deformation of simple hypersurface singularit…

2011-08-27abs ↗pdf ↗

Recently, increased computational power and data availability, as well as algorithmic advances, have led machine learning techniques to impressive results in regression, classification, data-generation and reinforcement learning tasks. Despite these successes, the proximity to the physical limits of chip fabrication al…

2017-07-26abs ↗pdf ↗

This paper compares deep transfer learning with classical ML in low-shot text classification.

problem Low-shot text classification with limited labeled data.
method Comparison of BERT and top classical ML approaches on a sentiment classification task.
result BERT outperforms classical ML by 9.7% on average with 100 labeled examples per class.

Paper benchmarks quantum neural networks against classical ones for binary classification tasks.

problem Comparing quantum neural networks with classical ones for binary classification.
method Evaluated with two toy examples, focusing on model complexity and training data size.
result EQNN and QNN outperform ENN and DNN for smaller parameter sets and training data samples.

The study extends classical results on harmonic functions to Riemannian manifolds with non-tangential boundary limits.

problem Extending classical results on harmonic functions to Riemannian manifolds with non-tangential boundary limits.
method Investigated the restricted mean-value property on Riemannian manifolds, focusing on non-tangential boundary behavior.
result Extended a classical result of Fenton to non-positively curved Harmonic manifolds of purely exponential volume growth.

This study improves quantum classifiers by optimizing data preprocessing.

problem Quantum Machine Learning advantages are not yet clearly demonstrated.
method Used Linear Discriminant Analysis (LDA) for data preprocessing.
result Variational Quantum Algorithm (VQA) outperforms classical classifiers.