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The number of muons in an air shower is a strong indicator of the mass of the
primary particle and increases with a small power of the cosmic ray mass by the
$\beta$-exponent, $N_{\mu} \sim A^{(1-\beta)}$. This behaviour can be explained
in terms of the Heitler-Matthews model of hadronic air showers. In this paper,
we ... | http://arxiv.org/abs/2308.16525v1 |
Unmanned aerial vehicles (UAVs) have become increasingly prevalent in various
domains, ranging from military operations to civilian applications. However,
the proliferation of UAVs has also given rise to concerns regarding their
potential misuse and security threats. As a result, the search and pursuit of
UAVs have bec... | http://arxiv.org/abs/2305.19832v1 |
In previous works, we introduced and studied certain categories called
quasi-BPS categories associated to symmetric quivers with potential,
preprojective algebras, and local surfaces. They have properties reminiscent of
BPS invariants/ cohomologies in enumerative geometry, for example they play
important roles in categ... | http://arxiv.org/abs/2309.08432v2 |
Feynman's diagrammatic series is a common language for a formally exact
theoretical description of systems of infinitely-many interacting quantum
particles, as well as a foundation for precision computational techniques. Here
we introduce a universal framework for efficient summation of connected or
skeleton Feynman di... | http://arxiv.org/abs/2309.13774v4 |
Here we study the prediction of even and odd numbered sunspot cycles
separately, thereby taking into account the Hale cyclicity of solar magnetism.
We first show that the temporal evolution and shape of all sunspot cycles are
extremely well described by a simple parameterized mathematical expression. We
find that the p... | http://arxiv.org/abs/2309.04208v1 |
A third of greenhouse gas emissions are attributable to the food sector. A
shift in dietary habits could reduce these by half. Engaging and empowering
consumers is vital to this critical shift; yet, if we get the framing wrong, we
might cause distress or eco-anxiety, impeding initial engagement as well as
longer-term d... | http://arxiv.org/abs/2309.05670v1 |
Contact electrification, or contact charging, refers to the process of static
charge accumulation after rubbing, or even simple touching, of two materials.
Despite its relevance in static electricity, various natural phenomena, and
numerous technologies, contact charging remains poorly understood. For
insulating materi... | http://arxiv.org/abs/2309.11605v2 |
Achieving the UN Sustainable Development Goals (SDGs) demands adequate levels
of awareness and actions to address sustainability challenges. Software systems
will play an important role in moving towards these targets. Sustainability
skills are necessary to support the development of software systems and to
provide sus... | http://arxiv.org/abs/2305.00436v2 |
Critical nodes in networks are extremely vulnerable to malicious attacks to
trigger negative cascading events such as the spread of misinformation and
diseases. Therefore, effective moderation of critical nodes is very vital for
mitigating the potential damages caused by such malicious diffusions. The
current moderatio... | http://arxiv.org/abs/2309.06392v1 |
In this paper, we focus on an asynchronous distributed optimization problem.
In our problem, each node is endowed with a convex local cost function, and is
able to communicate with its neighbors over a directed communication network.
Furthermore, we assume that the communication channels between nodes have
limited band... | http://arxiv.org/abs/2309.04585v1 |
This report presents the results of the shared tasks organized as part of the
VarDial Evaluation Campaign 2023. The campaign is part of the tenth workshop on
Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects
(VarDial), co-located with EACL 2023. Three separate shared tasks were included
th... | http://arxiv.org/abs/2305.20080v1 |
Dielectric barrier discharge (DBD) plasma actuators can generate a wall jet
without moving parts by interacting with ionized and neutral molecules in an
electric field. The coupling between electrohydrodynamic (EHD), turbulence,
inertial and viscous effects in the flow boundary layer remains poorly
understood and requi... | http://arxiv.org/abs/2304.00079v1 |
Valley magnetic moments play a crucial role in valleytronics in 2D hexagonal
materials. Traditionally, based on studies of quantum states in homogeneous
bulks, it is widely believed that only materials with broken structural
inversion symmetry can exhibit nonvanishing valley magnetic moments. Such
constraint excludes f... | http://arxiv.org/abs/2309.00091v1 |
In the current study, we investigate a scalar field cosmological model with
Lyra's geometry to explain the present cosmic expansion in a homogeneous and
isotropic flat FRW universe. In Einstein's field equations, we presupposed a
variable displacement vector as an element of Lyra's geometry. In the context
of the conve... | http://arxiv.org/abs/2309.10282v2 |
We report on the existence of exceptional points (EPs) in single-resonance
autoionization and provide analytical expressions for their positions in
parameter space, in terms of the Fano asymmetry parameter. We additionally
propose a reliable method for the experimental determination of EPs, based
solely on information ... | http://arxiv.org/abs/2305.19615v2 |
The pursuit of understanding the mysteries surrounding dark energy has
sparked significant interest within the field of cosmology. While conventional
approaches, such as the cosmological constant, have been extensively explored,
alternative theories incorporating scalar field-based models and modified
gravity have emer... | http://arxiv.org/abs/2310.20222v2 |
We apply the thermal (imaginary time) perturbative expansion to the relevant
effective field theory to compute characteristics of the phase transition to
the ordered state which can occur at low temperatures in the gas of
(nonrelativistic) spin 1/2 fermions interacting through a short-range spin
independent repulsive b... | http://arxiv.org/abs/2309.14782v1 |
Many problems in science and technology require finding global minima or
maxima of various objective functions. The functions are typically
high-dimensional; each function evaluation may entail a significant
computational cost. The importance of global optimization has inspired
development of numerous heuristic algorit... | http://arxiv.org/abs/2309.04591v1 |
Traditional CNN models are trained and tested on relatively low resolution
images (<300 px), and cannot be directly operated on large-scale images due to
compute and memory constraints. We propose Patch Gradient Descent (PatchGD), an
effective learning strategy that allows to train the existing CNN architectures
on lar... | http://arxiv.org/abs/2301.13817v1 |
The problem of generating microstructures of complex materials in silico has
been approached from various directions including simulation, Markov, deep
learning and descriptor-based approaches. This work presents a hybrid method
that is inspired by all four categories and has interesting scalability
properties. A neura... | http://arxiv.org/abs/2309.16195v1 |
We present the first implementation of Drinfeld modules fully integrated in
the SageMath ecosystem. First features will be released with SageMath 10.0. | http://arxiv.org/abs/2305.00422v1 |
In this article, we investigate the rate at which the first Dirichlet
eigenvalue of geodesic balls decreases as the radius approaches infinity. We
prove that if the conformal infinity of an asymptotically hyperbolic Einstein
manifold is of nonnegative Yamabe type, then the two-term asymptotic of the
eigenvalues is the ... | http://arxiv.org/abs/2307.16439v1 |
Lung diseases are a leading cause of child mortality in the developing world,
with India accounting for approximately half of global pneumonia deaths
(370,000) in 2016. Timely diagnosis is crucial for reducing mortality rates.
This paper introduces a low-density neural network structure to mitigate
topological challeng... | http://arxiv.org/abs/2309.06386v1 |
Hallucinations and off-target translation remain unsolved problems in MT,
especially for low-resource languages and massively multilingual models. In
this paper, we introduce two related methods to mitigate these failure cases
with a modified decoding objective, without either requiring retraining or
external models. I... | http://arxiv.org/abs/2309.07098v2 |
This paper is the first to propose an allelopathic phytoplankton competition
ODE model influenced by a fear effect based on natural biological phenomena. It
is shown that the interplay of this fear effect and the allelopathic term cause
rich dynamics in the proposed competition model, such as global stability,
transcri... | http://arxiv.org/abs/2309.08383v1 |
Local minimizers of integral functionals of the calculus of variations are
analyzed under growth conditions dictated by different lower and upper bounds
for the integrand. Growths of non-necessarily power type are allowed. The local
boundedness of the relevant minimizers is established under a suitable balance
between ... | http://arxiv.org/abs/2309.16803v2 |
We introduce PyQBench, an innovative open-source framework for benchmarking
gate-based quantum computers. PyQBench can benchmark NISQ devices by verifying
their capability of discriminating between two von Neumann measurements.
PyQBench offers a simplified, ready-to-use, command line interface (CLI) for
running benchma... | http://arxiv.org/abs/2304.00045v1 |
The concept of the Metaverse aims to bring a fully-fledged extended reality
environment to provide next generation applications and services. Development
of the Metaverse is backed by many technologies, including, 5G, artificial
intelligence, edge computing and extended reality. The advent of 6G is
envisaged to mark a ... | http://arxiv.org/abs/2301.03386v1 |
We study the problem of discovering joinable datasets at scale. We approach
the problem from a learning perspective relying on profiles. These are succinct
representations that capture the underlying characteristics of the schemata and
data values of datasets, which can be efficiently extracted in a distributed
and par... | http://arxiv.org/abs/2305.19629v1 |
Deep learning has achieved remarkable success in the field of bearing fault
diagnosis. However, this success comes with larger models and more complex
computations, which cannot be transferred into industrial fields requiring
models to be of high speed, strong portability, and low power consumption. In
this paper, we p... | http://arxiv.org/abs/2307.16363v1 |
DANSS is a solid state scintillator neutrino spectrometer placed at a small
distance from the commercial nuclear reactor of Kalininskaya NPP. The distance
from the detector to the center of the reactor core can be changed online in
the range 10.9-12.9 m. This fact together with a very high neutrino counting
rate (more ... | http://arxiv.org/abs/2305.07417v1 |
Existing exploration algorithms mainly generate frontiers using random
sampling or motion primitive methods within a specific sensor range or search
space. However, frontiers generated within constrained spaces lead to
back-and-forth maneuvers in large-scale environments, thereby diminishing
exploration efficiency. To ... | http://arxiv.org/abs/2309.08397v1 |
Fault-tolerant quantum computation with bosonic qubits often necessitates the
use of noisy discrete-variable ancillae. In this work, we establish a
comprehensive and practical fault-tolerance framework for such a hybrid system
and synthesize it with fault-tolerant protocols by combining bosonic quantum
error correction... | http://arxiv.org/abs/2310.20578v1 |
Allowing organizations to share their data for training of machine learning
(ML) models without unintended information leakage is an open problem in
practice. A promising technique for this still-open problem is to train models
on the encoded data. Our approach, called Privately Encoded Open Datasets with
Public Labels... | http://arxiv.org/abs/2304.00047v1 |
Background: Test-case quality has always been one of the major concerns in
software testing. To improve test-case quality, it is important to better
understand how practitioners perceive the quality of test-cases. Objective:
Motivated by that need, we investigated how practitioners define test-case
quality and which as... | http://arxiv.org/abs/2309.16801v1 |
There has been a growing realisation that school science curricula do not
adequately reflect the revolutionary changes in our scientific understanding of
the 20th century. This discrepancy between current school education and our
modern scientific understanding has led to calls for the modernisation of the
science curr... | http://arxiv.org/abs/2306.17342v2 |
Precise and timely fault diagnosis is a prerequisite for a distribution
system to ensure minimum downtime and maintain reliable operation. This
necessitates access to a comprehensive procedure that can provide the grid
operators with insightful information in the case of a fault event. In this
paper, we propose a heter... | http://arxiv.org/abs/2309.09921v2 |
We propose a parallel (distributed) version of the spectral proper orthogonal
decomposition (SPOD) technique. The parallel SPOD algorithm distributes the
spatial dimension of the dataset preserving time. This approach is adopted to
preserve the non-distributed fast Fourier transform of the data in time,
thereby avoidin... | http://arxiv.org/abs/2309.11808v2 |
Music classification has been one of the most popular tasks in the field of
music information retrieval. With the development of deep learning models, the
last decade has seen impressive improvements in a wide range of classification
tasks. However, the increasing model complexity makes both training and
inference comp... | http://arxiv.org/abs/2306.17424v1 |
We analyse several aspects of detectors with uniform acceleration $a$ and
uniform rotation $\Omega$ in de Sitter ($\Lambda>0$) and anti-de Sitter
($\Lambda<0$) spacetimes, focusing particularly on the periodicity, in
(Euclidean) proper time $\tau_{\rm traj}$, of geodesic interval $\tau_{\rm
geod}$ between two events on... | http://arxiv.org/abs/2307.16413v3 |
Deep reinforcement learning (RL) is notoriously impractical to deploy due to
sample inefficiency. Meta-RL directly addresses this sample inefficiency by
learning to perform few-shot learning when a distribution of related tasks is
available for meta-training. While many specialized meta-RL methods have been
proposed, r... | http://arxiv.org/abs/2309.14970v4 |
Social tipping points are promising levers to achieve net-zero greenhouse gas
emission targets. They describe how social, political, economic or
technological systems can move rapidly into a new state if cascading positive
feedback mechanisms are triggered. Analysing the potential of social tipping
for rapid decarboniz... | http://arxiv.org/abs/2309.14964v1 |
The dissipation rates of the basic turbulent second-order moments are the key
parameters controlling turbulence energetics and spectra, turbulent fluxes of
momentum and heat, and playing a vital role in turbulence modelling. In this
paper, we use the results of Direct Numerical Simulations (DNS) to evaluate
dissipation... | http://arxiv.org/abs/2309.05869v1 |
We study the election control problem with multi-votes, where each voter can
present a single vote according different views (or layers, we use "layer" to
represent "view"). For example, according to the attributes of candidates, such
as: education, hobby or the relationship of candidates, a voter may present
different... | http://arxiv.org/abs/2306.17430v1 |
Much of explainable AI research treats explanations as a means for model
inspection. Yet, this neglects findings from human psychology that describe the
benefit of self-explanations in an agent's learning process. Motivated by this,
we introduce a novel workflow in the context of image classification, termed
Learning b... | http://arxiv.org/abs/2309.08395v3 |
An analytical solution for high supersonic flow over a circular cylinder
based on Schneider's inverse method has been presented. In the inverse method,
a shock shape is assumed and the corresponding flow field and the shape of the
body producing the shock are found by integrating the equations of motion using
the strea... | http://arxiv.org/abs/2307.16407v1 |
Let $\mathcal{T}_n$ be the set of all mappings
$T:\{1,2,\ldots,n\}\to\{1,2,\ldots,n\}$. The corresponding graph of $T$ is a
union of disjoint connected unicyclic components. We assume that each
$T\in\mathcal{T}_n$ is chosen uniformly at random (i.e., with probability
$n^{-n}$). The cycle of $T$ contained within its lar... | http://arxiv.org/abs/2301.13829v3 |
Human-Scene Interaction (HSI) is a vital component of fields like embodied AI
and virtual reality. Despite advancements in motion quality and physical
plausibility, two pivotal factors, versatile interaction control and the
development of a user-friendly interface, require further exploration before
the practical appli... | http://arxiv.org/abs/2309.07918v4 |
Deep Neural Networks (DNNs) for 3D point cloud recognition are vulnerable to
adversarial examples, threatening their practical deployment. Despite the many
research endeavors have been made to tackle this issue in recent years, the
diversity of adversarial examples on 3D point clouds makes them more
challenging to defe... | http://arxiv.org/abs/2307.16361v2 |
The applicability of the effective models to the description of baryons and
the behaviour of ratios of strange baryons to pions is discussed. In the
framework of the EPNJL model, the Bethe - Salpeter equation is used to find
masses of baryons, which are considered as diquark-quark state. Baryon melting
is discussed at ... | http://arxiv.org/abs/2309.16815v1 |
Valuable insights, such as frequently visited environments in the wake of the
COVID-19 pandemic, can oftentimes only be gained by analyzing sensitive data
spread across edge-devices like smartphones. To facilitate such an analysis, we
present a toolchain called PrivAgE for a distributed, privacy-preserving
aggregation ... | http://arxiv.org/abs/2309.12483v2 |
3D object detection in point clouds is important for autonomous driving
systems. A primary challenge in 3D object detection stems from the sparse
distribution of points within the 3D scene. Existing high-performance methods
typically employ 3D sparse convolutional neural networks with small kernels to
extract features.... | http://arxiv.org/abs/2310.20234v1 |
The paradigm of vertical federated learning (VFL), where institutions
collaboratively train machine learning models via combining each other's local
feature or label information, has achieved great success in applications to
financial risk management (FRM). The surging developments of graph
representation learning (GRL... | http://arxiv.org/abs/2310.20552v1 |
We report on the discovery of two potential polar ring galaxies (PRGs) in the
WALLABY Pilot Data Release 1 (PDR1). These untargetted detections,
cross-matched to NGC 4632 and NGC 6156, are some of the first galaxies where
the Hi observations show two distinct components. We used the iDaVIE virtual
reality software to s... | http://arxiv.org/abs/2309.05841v2 |
We present an entangled quantum radar protocol. It consists in scanning the
sky with a thin Gaussian beam and measuring the travel time of the radiation
reflected from the target, as in conventional radars. Here the Gaussian beam is
composed of $N$ photons entangled in the frequency degrees of freedom. We show
that thi... | http://arxiv.org/abs/2309.11834v1 |
A quantum register coupled to a spin-photon interface is a key component in
quantum communication and information processing. Group-IV color centers in
diamond (SiV, GeV, and SnV) are promising candidates for this application,
comprising an electronic spin with optical transitions coupled to a nuclear
spin as the quant... | http://arxiv.org/abs/2306.00164v2 |
A ReLU neural network leads to a finite polyhedral decomposition of input
space and a corresponding finite dual graph. We show that while this dual graph
is a coarse quantization of input space, it is sufficiently robust that it can
be combined with persistent homology to detect homological signals of manifolds
in the ... | http://arxiv.org/abs/2306.17418v1 |
Pancreatic cancer is a lethal form of cancer that significantly contributes
to cancer-related deaths worldwide. Early detection is essential to improve
patient prognosis and survival rates. Despite advances in medical imaging
techniques, pancreatic cancer remains a challenging disease to detect.
Endoscopic ultrasound (... | http://arxiv.org/abs/2309.11820v3 |
III-Nitride micropillar structures show great promise for applications in
micro light-emitting diodes and vertical power transistors due to their
excellent scalability and outstanding electrical properties. Typically,
III-Nitride micropillars are fabricated through a top-down approach using
reactive ion etch which lead... | http://arxiv.org/abs/2310.20546v1 |
We obtain tight lower bounds for the trace norm $\Vert \cdot \Vert_1$ of some
matrices with diagonal zero, in terms of the entry-wise $L^1$-norm (denoted by
$\Vert \cdot \Vert_{(1)}$). It is shown that on the space of nonzero real
symmetric matrices $A$ of order $n$ with diagonal zero, the minimum value of
the quantity... | http://arxiv.org/abs/2309.14958v2 |
Total Variation regularization (TV) is a seminal approach for image recovery.
TV involves the norm of the image's gradient, aggregated over all pixel
locations. Therefore, TV leads to piece-wise constant solutions, resulting in
what is known as the "staircase effect." To mitigate this effect, the Hessian
Schatten norm ... | http://arxiv.org/abs/2309.04593v1 |
Accurate and precise climate projections are required for climate adaptation
and mitigation, but Earth system models still exhibit great uncertainties.
Several approaches have been developed to reduce the spread of climate
projections and feedbacks, yet those methods cannot capture the non-linear
complexity inherent in... | http://arxiv.org/abs/2309.14780v4 |
What makes waveform-based deep learning so hard? Despite numerous attempts at
training convolutional neural networks (convnets) for filterbank design, they
often fail to outperform hand-crafted baselines. These baselines are linear
time-invariant systems: as such, they can be approximated by convnets with wide
receptiv... | http://arxiv.org/abs/2309.05855v4 |
Let $T$ be a complete, model complete o-minimal theory extending the theory
of real closed ordered fields and assume that $T$ is power bounded. Let $K$ be
a model of $T$ equipped with a $T$-convex valuation ring $\mathcal{O}$ and a
$T$-derivation $\partial$ such that $\partial$ is monotone, i.e., weakly
contractive wit... | http://arxiv.org/abs/2309.13951v2 |
This article solves the Hume's problem of induction using a probabilistic
approach. From the probabilistic perspective, the core task of induction is to
estimate the probability of an event and judge the accuracy of the estimation.
Following this principle, the article provides a method for calculating the
confidence o... | http://arxiv.org/abs/2309.07924v1 |
Privacy-preserving crowd density analysis finds application across a wide
range of scenarios, substantially enhancing smart building operation and
management while upholding privacy expectations in various spaces. We propose a
non-speech audio-based approach for crowd analytics, leveraging a
transformer-based model. Ou... | http://arxiv.org/abs/2309.10280v2 |
Stabilization of a coupled system consisting of a parabolic partial
differential equation and an elliptic partial differential equation is
considered. Even in the situation when the parabolic equation is exponentially
stable on its own, the coupling between the two equations can cause instability
in the overall system.... | http://arxiv.org/abs/2309.00093v1 |
The `Main' galaxy cluster in the Abell 781 system is undergoing a significant
merger and accretion process with peripheral emission to the north and
southeastern flanks of the merging structure. Here we present a full
polarimetric study of this field, using radio interferometric data taken at 21
and 92 cm with the West... | http://arxiv.org/abs/2309.09909v1 |
We present a review of known models and a new simple mathematical modelling
for border completion in the visual cortex V1 highlighting the striking
analogies with bicycle rear wheel motions in the plane. | http://arxiv.org/abs/2304.00084v1 |
We study how to verify specific frequency distributions when we observe a
stream of $N$ data items taken from a universe of $n$ distinct items. We
introduce the \emph{relative Fr\'echet distance} to compare two frequency
functions in a homogeneous manner. We consider two streaming models: insertions
only and sliding wi... | http://arxiv.org/abs/2309.11175v1 |
We consider the two-dimensional, $\beta$-plane, vorticity equations for an
incompressible flow, where the zonally averaged flow varies on scales much
larger than the perturbation. We prove global existence and uniqueness of the
solution to the equations on periodic settings. | http://arxiv.org/abs/2303.00023v2 |
We present a new pre-training strategy called M$^{3}$3D
($\underline{M}$ulti-$\underline{M}$odal $\underline{M}$asked $\underline{3D}$)
built based on Multi-modal masked autoencoders that can leverage 3D priors and
learned cross-modal representations in RGB-D data. We integrate two major
self-supervised learning framew... | http://arxiv.org/abs/2309.15313v1 |
Data analytics using GUI-based dataflows is an iterative process in which an
analyst makes many iterations of changes to refine the dataflow, generating a
different version at each iteration. In many cases, the result of executing a
dataflow version is equivalent to a result of a prior executed version.
Identifying suc... | http://arxiv.org/abs/2309.13762v3 |
Global environmental change is pushing many socio-environmental systems
towards critical thresholds, where ecological systems' states are on the
precipice of tipping points and interventions are needed to navigate or avert
impending transitions. Flickering, where a system vacillates between
alternative stable states, i... | http://arxiv.org/abs/2309.04578v1 |
The rapid growth of information in the field of Generative Artificial
Intelligence (AI), particularly in the subfields of Natural Language Processing
(NLP) and Machine Learning (ML), presents a significant challenge for
researchers and practitioners to keep pace with the latest developments. To
address the problem of i... | http://arxiv.org/abs/2308.04889v1 |
Context. In the scope of space weather forecasting, it is crucial to be able
to more reliably predict the arrival time, speed, and magnetic field
configuration of coronal mass ejections (CMEs). From the time a CME is
launched, the dominant factor influencing all of the above is the interaction
of the interplanetary CME... | http://arxiv.org/abs/2309.15475v1 |
Despite a growing sample of precisely measured stellar rotation periods and
ages, the strength of magnetic braking and the degree of departure from
standard (Skumanich-like) spindown have remained persistent questions,
particularly for stars more evolved than the Sun. Rotation periods can be
measured for stars older th... | http://arxiv.org/abs/2309.05666v1 |
We propose a framework for thinking about eccentricity in terms of blocks. We
extend the familiar definitions of radius and center to blocks and verify that
a central block contains all central points. We classify graphs into two types
depending upon the relationship between block radius and vertex radius and
between c... | http://arxiv.org/abs/2309.11613v1 |
A system of two gravitating bodies floating around a restricted region of
strong gravitational field is investigated. We consider two concentric
spherically symmetric timelike shells spatially constrained by a perfectly
reflecting inner and outer boundary. It is shown numerically that even when the
gravitational radius... | http://arxiv.org/abs/2302.14419v2 |
Reconfigurable intelligent surfaces (RIS)-assisted massive multiple-input
multiple-output (mMIMO) is a promising technology for applications in
next-generation networks. However, reflecting-only RIS provides limited
coverage compared to a simultaneously transmitting and reflecting RIS
(STAR-RIS). Hence, in this paper, ... | http://arxiv.org/abs/2309.08342v1 |
This paper delves into the transformative power of Generative AI-driven
storytelling in the realm of marketing. Generative AI, distinct from
traditional machine learning, offers the capability to craft narratives that
resonate with consumers on a deeply personal level. Through real-world examples
from industry leaders ... | http://arxiv.org/abs/2309.09048v1 |
Current proposals for topological quantum computation (TQC) based on Majorana
zero modes (MZM) have mostly been focused on coupled-wire architecture which
can be challenging to implement experimentally. To explore alternative building
blocks of TQC, in this work we study the possibility of obtaining robust MZM at
the c... | http://arxiv.org/abs/2309.11607v2 |
The recent advancements in machine learning have motivated researchers to
generate classification models dealing with hundreds of classes such as in the
case of image datasets. However, visualization of classification models with
high number of classes and inter-model comparison in such classification
problems are two ... | http://arxiv.org/abs/2309.05672v1 |
This paper proposes an unmanned aerial vehicle (UAV)-based distributed
sensing framework that uses orthogonal frequency-division multiplexing (OFDM)
waveforms to detect the position of a ground target, and UAVs operate in
half-duplex mode. A spatial grid approach is proposed, where an specific area
in the ground is div... | http://arxiv.org/abs/2309.05114v1 |
In this paper, we study the propagations of external fields in Horndeski
theory, including the scalar field, electromagnetic field and Dirac field. We
extensively explore the quasinormal frequencies, time evolution, greybody
factors and emission rates of those massless perturbing fields by solving the
corresponding mas... | http://arxiv.org/abs/2309.03565v1 |
We identify a family of $O(|E(G)|^2)$ nontrivial facets of the connected
matching polytope of a graph $G$, that is, the convex hull of incidence vectors
of matchings in $G$ whose covered vertices induce a connected subgraph.
Accompanying software to further inspect the polytope of an input graph is
available. | http://arxiv.org/abs/2309.14019v2 |
Artificial intelligence models and methods commonly lack causal
interpretability. Despite the advancements in interpretable machine learning
(IML) methods, they frequently assign importance to features which lack causal
influence on the outcome variable. Selecting causally relevant features among
those identified as re... | http://arxiv.org/abs/2309.07703v2 |
Inequalities among symmetric functions are fundamental questions in
mathematics and have various applications in science and engineering. In this
paper, we tackle a conjecture about inequalities among the complete homogeneous
symmetric function $H_{n,\lambda}$, that is, the inequality $H_{n,\lambda}\leq
H_{n,\mu}$ impl... | http://arxiv.org/abs/2305.19830v1 |
We survey various recent results that rigorously study the complexity of
learning quantum states. These include progress on quantum tomography, learning
physical quantum states, alternate learning models to tomography and learning
classical functions encoded as quantum states. We highlight how these results
are paving ... | http://arxiv.org/abs/2305.20069v1 |
I introduce a new iterative method to solve problems in small-strain
non-linear elasticity. The method is inspired by recent work in data-driven
computational mechanics, which reformulated the classic boundary value problem
of continuum mechanics using the concept of "phase space". The latter is an
abstract metric spac... | http://arxiv.org/abs/2309.14031v1 |
Off-Policy Estimation (OPE) methods allow us to learn and evaluate
decision-making policies from logged data. This makes them an attractive choice
for the offline evaluation of recommender systems, and several recent works
have reported successful adoption of OPE methods to this end. An important
assumption that makes ... | http://arxiv.org/abs/2309.04222v1 |
We use the stellar fossil record to constrain the stellar metallicity
evolution and star-formation histories of the post-starburst (PSB) regions
within 45 local post-starburst galaxies from the MaNGA survey. The direct
measurement of the regions' stellar metallicity evolution is achieved by a new
two-step metallicity m... | http://arxiv.org/abs/2309.16626v3 |
This paper focuses on an elastic dislocation problem that is motivated by
applications in the geophysical and seismological communities. In our model,
the displacement satisfies the Lam\'e system in a bounded domain with a mixed
homogeneous boundary condition. We also allow the occurrence of discontinuities
in both the... | http://arxiv.org/abs/2309.09706v2 |
We investigate the early time dynamics of heavy ion collisions studying the
time evolution of the energy-momentum tensor as well as energy-momentum
correlations within a uniformly thermalizing holographic QGP. From these
quantities, we suggest a far-from equilibrium definition of shear viscosity,
which is a crucial pro... | http://arxiv.org/abs/2309.06435v1 |
We present a method for reproducing complex multi-character interactions for
physically simulated humanoid characters using deep reinforcement learning. Our
method learns control policies for characters that imitate not only individual
motions, but also the interactions between characters, while maintaining
balance and... | http://arxiv.org/abs/2305.20041v1 |
In the last decade, despite rapid advancements in artificial intelligence
(AI) transforming many industry practices, construction largely lags in
adoption. Recently, the emergence and rapid adoption of advanced large language
models (LLM) like OpenAI's GPT, Google's PaLM, and Meta's Llama have shown
great potential and... | http://arxiv.org/abs/2310.04427v1 |
The subsurface oceans of icy satellites are among the most compelling among
the potentially habitable environments in our Solar System. The question of
whether a liquid subsurface layer can be maintained over geological timescales
depends on its chemical composition. The composition of icy satellites is
linked to that ... | http://arxiv.org/abs/2302.14425v1 |
A huge amount of information is produced in digital form. The Semantic Web
stems from the realisation that dealing efficiently with this production
requires getting better at interlinking digital informational resources
together. Its focus is on linking data. Linking data isn't enough. We need to
provide infrastructura... | http://arxiv.org/abs/2309.10531v1 |
Band engineering stands as an efficient route to induce strongly correlated
quantum many-body phenomena. Besides inspiring analogies among diverse physical
fields, tuning on demand the group velocity is highly attractive in photonics
because it allows unconventional flows of light. $\Lambda$-schemes offer a
route to co... | http://arxiv.org/abs/2309.04544v2 |
In the context of the interaction between a moving plane shock wave and an
inclined wall (wedge), it is possible to distinguish four distinct shock
reflection configurations. These shock wave reflections, which depend on the
characteristics of the incident shock wave and the geometry of the surface that
it interacts wi... | http://arxiv.org/abs/2309.05882v1 |
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