output
19942026
most citedArea laws for the entanglement entropy - a review

2.9k citations

Showing 2020Show all

106 papers · 1 filter

cs.HC2020

Towards Reducing Energy Waste through Usage of External Communication of Autonomous Vehicles

Mark Colley, Marcel Walch, Enrico Rukzio

Automated vehicles can implement strategies to drive with optimized fuel efficiency. Therefore, automated driving is seen as a major advancement in tackling climate change. However…

cs.RO2020★ 17 cited

Robotic Process Automation -- A Systematic Literature Review and Assessment Framework

Judith Wewerka, Manfred Reichert

Robotic Process Automation (RPA) is the automation of rule-based routine processes to increase efficiency and to reduce costs. Due to the utmost importance of process automation in…

cs.CV2020★ 3 cited

Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection

Di Feng, Zining Wang, Yiyang Zhou +5

The availability of many real-world driving datasets is a key reason behind the recent progress of object detection algorithms in autonomous driving. However, there exist ambiguity…

cond-mat.supr-con2020

Spin-dependent tunneling between individual superconducting bound states

Haonan Huang, Jacob Senkpiel, Ciprian Padurariu +9

Magnetic impurities on superconductors induce discrete bound levels inside the superconducting gap, known as Yu-Shiba-Rusinov (YSR) states. YSR levels are fully spin-polarized such…

cs.DC2020★ 2 cited

Enacting Coordination Processes

Sebastian Steinau, Kevin Andrews, Manfred Reichert

With the rise of data-centric process management paradigms, interdependent processes, such as artifacts or object lifecycles, form a business process through their interactions. Co…

math.AP2020★ 10 cited

Kinetic maximal -regularity with temporal weights and application to quasilinear kinetic diffusion equations

Lukas Niebel, Rico Zacher

We introduce the concept of kinetic maximal -regularity with temporal weights and prove that this property is satisfied for the (fractional) Kolmogorov equation. We show that…

cond-mat.mes-hall2020★ 110 cited

Giant persistent photoconductivity in monolayer MoS2 field-effect transistors

A. George, M. V. Fistul, M. Gruenewald +12

Monolayer transition metal dichalcogenides (TMD) have numerous potential applications in ultrathin electronics and photonics. The exposure of TMD based devices to light generates p…

quant-ph2020★ 12 cited

One-shot manipulation of entanglement for quantum channels

Ho-Joon Kim, Soojoon Lee, Ludovico Lami +1

We show that the dynamic resource theory of quantum entanglement can be formulated using the superchannel theory. In this formulation, we identify the separable channels and the cl…

quant-ph2020★ 50 cited

Enhanced force sensitivity and entanglement in periodically driven optomechanics

F. Cosco, J. S. Pedernales, M. B. Plenio

Squeezing is a resource that enables precision enhancements in quantum metrology and can be used as a basis for the generation of entanglement by linear optics. While strong squeez…

physics.atom-ph2020★ 18 cited

Direct observation of swap cooling in atom-ion collisions

Amir Mahdian, Artjom Krükow, Johannes Hecker Denschlag

Collisions with cold particles can dissipate the energy of a hot particle and therefore be exploited as a cooling mechanism. Kinetics teaches us that for a particle to be cooled do…

cs.LG2020★ 5 cited

exploRNN: Understanding Recurrent Neural Networks through Visual Exploration

Alex Bäuerle, Patrick Albus, Raphael Störk +2

Due to the success of deep learning (DL) and its growing job market, students and researchers from many areas are interested in learning about DL technologies. Visualization has pr…

cond-mat.mtrl-sci2020

Diamond spin sensors: A new way to probe nanomagnetism

J. -P. Tetienne, L. P. McGuinness, V. Jacques

Studies of individual quantum systems, which have led to considerable progress in our understanding of quantum physics, have traditionally been associated with atomic gases. In the…

quant-ph2020★ 18 cited

Excitation dynamics in chain-mapped environments

Dario Tamascelli

The chain mapping of structured environments is a most powerful tool for the simulation of open quantum system dynamics. Once the environmental bosonic or fermionic degrees of free…

math.PR2020★ 4 cited

A Cramér--Wold device for infinite divisibility of -valued distributions

David Berger, Alexander Lindner

We show that a Cramér--Wold device holds for infinite divisibility of -valued distributions, i.e. that the distribution of a -valued random vector i…

cs.RO2020★ 7 cited

LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association*

Martin Herrmann, Aldi Piroli, Jan Strohbeck +2

Autonomous vehicles need precise knowledge on dynamic objects in their surroundings. Especially in urban areas with many objects and possible occlusions, an infrastructure system b…

quant-ph2020★ 19 cited

Validity of Born-Markov master equations for single and two-qubit systems

Vasilii Vadimov, Jani Tuorila, Tuure Orell +4

The urgent need for reliable simulation tools to match the extreme accuracy needed to control tailored quantum devices highlights the importance of understanding open quantum syste…

cs.LG2020★ 16 cited

Specialization in Hierarchical Learning Systems

Heinke Hihn, Daniel A. Braun

Joining multiple decision-makers together is a powerful way to obtain more sophisticated decision-making systems, but requires to address the questions of division of labor and spe…

cs.CV2020★ 320 cited

A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

Di Feng, Ali Harakeh, Steven Waslander +1

Capturing uncertainty in object detection is indispensable for safe autonomous driving. In recent years, deep learning has become the de-facto approach for object detection, and ma…

cs.RO2020★ 46 cited

Dynamic Occupancy Grid Mapping with Recurrent Neural Networks

Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser +1

Modeling and understanding the environment is an essential task for autonomous driving. In addition to the detection of objects, in complex traffic scenarios the motion of other ro…

cs.CV2020★ 286 cited

Point Transformer

Nico Engel, Vasileios Belagiannis, Klaus Dietmayer

In this work, we present Point Transformer, a deep neural network that operates directly on unordered and unstructured point sets. We design Point Transformer to extract local and…

physics.app-ph2020★ 123 cited

Nanoscale Dynamic Readout of a Chemical Redox Process Using Radicals Coupled with Nitrogen-Vacancy Centers in Nanodiamonds

Jan Barton, Michal Gulka, Jan Tarabek +9

Biocompatible nanoscale probes for sensitive detection of paramagnetic species and molecules associated with their (bio)chemical transformations would provide a desirable tool for…

math.OC2020

Cooperative output regulation for a network of parabolic systems with varying parameters

Joachim Deutscher

This paper is concerned with the cooperative output regulation problem for a network of agents with different dynamics described by parabolic PDEs subject to spatially- and time-va…

physics.med-ph2020★ 5 cited

Optimizing Radiotherapy Plans for Cancer Treatment with Tensor Networks

Samuele Cavinato, Timo Felser, Marco Fusella +2

We present a novel application of Tensor Network methods in cancer treatment as a potential tool to solve the dose optimization problem in radiotherapy. In particular, the Intensit…

cs.CY2020

Towards a Flexible Framework for Algorithmic Fairness

Philip Hacker, Emil Wiedemann, Meike Zehlike

Increasingly, scholars seek to integrate legal and technological insights to combat bias in AI systems. In recent years, many different definitions for ensuring non-discrimination…