3,023 research outputs found
The Location of Critical Reliability Slip Surface in Soil Slope Stability Analysis
AbstractThis study aims to find the difference between the slip surface having minimum factor of safety(called critical slip surface in deterministic analysis of slopes) and the slip surface having minimum reliability index(called critical reliability slip surface). The performance function used in reliability analysis was formulated by unbalanced thrust force method and the value of reliability index regarding given potential slip surface was obtained by Rosenbleuth method. The harmony search algorithm was adopted to alter the potential slip surface in order to locate the critical reliability slip surface. One complicated soil slope was analyzed and the results have shown that the critical slip surface is considerably different from critical reliability slip surface for multi-layer slopes and the reliability index of critical slip surface is larger than that of critical reliability slip surface
Generating multi-atom entangled W states via light-matter interface based fusion mechanism
W state is a key resource in quantum communication. Fusion technology has
been proven to be a good candidate for preparing a large-size W state from two
or more small-size W states in linear optical system. It is of great importance
to study how to fuse W states via light-matter interface. Here we show that it
is possible to prepare large-size W-state networks using a fusion mechanism in
cavity QED system. The detuned interaction between three atoms and a vacuum
cavity mode constitute the main fusion mechanism, based on which two or three
small-size atomic W states can be fused into a larger-size W state. If no
excitation is detected from those three atoms, the remaining atoms are still in
the product of two or three new W states, which can be re-fused. The
complicated Fredkin gate used in the previous fusion schemes is avoided here. W
states of size 2 can be fused as well. The feasibility analysis shows that our
fusion processes maybe implementable with the current technology. Our results
demonstrate how the light-matter interaction based fusion mechanism can be
realized, and may become the starting point for the fusion of multipartite
entanglement in cavity QED system.Comment: 9 pages, 2 figure
The decision optimization of product development by considering the customer demand saturation
Scheme for sharing classical information via tripartite entangled states
We investigate schemes for quantum secret sharing and quantum dense coding
via tripartite entangled states. We present a scheme for sharing classical
information via entanglement swapping using two tripartite entangled GHZ
states. In order to throw light upon the security affairs of the quantum dense
coding protocol, we also suggest a secure quantum dense coding scheme via W
state in analogy with the theory of sharing information among involved users.Comment: 4 pages, no figure. A complete rewrritten vession, accepted for
publication in Chinese Physic
Intertwined fractional quantum anomalous Hall states and charge density waves
Motivated by the recent experimental breakthrough on the observation of the
fractional quantum anomalous Hall (FQAH) effects in semiconductor and graphene
moir\'{e} materials, we explore the rich physics associated with the
coexistence of FQAH effect and the charge density wave (CDW) order that
spontaneously breaks the translation symmetry. We refer to a state with both
properties as "FQAH-crystal". We show that the interplay between FQAH effect
and CDW can lead to a rich phase diagram including multiple topological phases
and topological quantum phase transitions at the same moir\'e filling. In
particular, we demonstrate the possibility of direct quantum phase transitions
from a FQAH-crystal with Hall conductivity to a trivial CDW
insulator with , and more interestingly, to a QAH-crystal with
.Comment: 9 page
Patched Line Segment Learning for Vector Road Mapping
This paper presents a novel approach to computing vector road maps from
satellite remotely sensed images, building upon a well-defined Patched Line
Segment (PaLiS) representation for road graphs that holds geometric
significance. Unlike prevailing methods that derive road vector representations
from satellite images using binary masks or keypoints, our method employs line
segments. These segments not only convey road locations but also capture their
orientations, making them a robust choice for representation. More precisely,
given an input image, we divide it into non-overlapping patches and predict a
suitable line segment within each patch. This strategy enables us to capture
spatial and structural cues from these patch-based line segments, simplifying
the process of constructing the road network graph without the necessity of
additional neural networks for connectivity. In our experiments, we demonstrate
how an effective representation of a road graph significantly enhances the
performance of vector road mapping on established benchmarks, without requiring
extensive modifications to the neural network architecture. Furthermore, our
method achieves state-of-the-art performance with just 6 GPU hours of training,
leading to a substantial 32-fold reduction in training costs in terms of GPU
hours
Generating multi-atom entangled W states via light-matter interface based fusion mechanism
PubMed ID: 26548649W state is a key resource in quantum communication. Fusion technology has been proven to be a good candidate for preparing a large-size W state from two or more small-size W states in linear optical system. It is of great importance to study how to fuse W states via light-matter interface. Here we show that it is possible to prepare large-size W-state networks using a fusion mechanism in cavity QED system. The detuned interaction between three atoms and a vacuum cavity mode constitute the main fusion mechanism, based on which two or three small-size atomic W states can be fused into a larger-size W state. If no excitation is detected from those three atoms, the remaining atoms are still in the product of two or three new W states, which can be re-fused. The complicated Fredkin gate used in the previous fusion schemes is avoided here. W states of size 2 can be fused as well. The feasibility analysis shows that our fusion processes maybe implementable with the current technology. Our results demonstrate how the light-matter interaction based fusion mechanism can be realized, and may become the starting point for the fusion of multipartite entanglement in cavity QED system.Publisher's Versio
A Scalable Test Problem Generator for Sequential Transfer Optimization
Sequential transfer optimization (STO), which aims to improve optimization
performance by exploiting knowledge captured from previously-solved
optimization tasks stored in a database, has been gaining increasing research
attention in recent years. However, despite significant advancements in
algorithm design, the test problems in STO are not well designed. Oftentimes,
they are either randomly assembled by other benchmark functions that have
identical optima or are generated from practical problems that exhibit limited
variations. The relationships between the optimal solutions of source and
target tasks in these problems are manually configured and thus monotonous,
limiting their ability to represent the diverse relationships of real-world
problems. Consequently, the promising results achieved by many algorithms on
these problems are highly biased and difficult to be generalized to other
problems. In light of this, we first introduce a few rudimentary concepts for
characterizing STO problems (STOPs) and present an important problem feature
overlooked in previous studies, namely similarity distribution, which
quantitatively delineates the relationship between the optima of source and
target tasks. Then, we propose general design guidelines and a problem
generator with superior extendibility. Specifically, the similarity
distribution of a problem can be systematically customized by modifying a
parameterized density function, enabling a broad spectrum of representation for
the diverse similarity relationships of real-world problems. Lastly, a
benchmark suite with 12 individual STOPs is developed using the proposed
generator, which can serve as an arena for comparing different STO algorithms.
The source code of the benchmark suite is available at
https://github.com/XmingHsueh/STOP
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