output
19972026
most citedFault-tolerant quantum computation by anyons

7.3k citations

Showing 2021Show all

8 papers · 1 filter

physics.optics2021★ 5 cited

Influence of an external electric field on the energy dissipation at the initial stage of laser ablation

S. Hirtle, P. N. Terekhin, M. Schäfer +4

A density-dependent two-temperature model is applied to describe laser excitation and the following relaxation processes of silicon in an external electric field. Two approaches on…

math.PR2021★ 1 cited

Hypocoercivity for non-linear infinite-dimensional degenerate stochastic differential equations

Benedikt Eisenhuth, Martin Grothaus

The aim of this article is to construct solutions to second order in time stochastic partial differential equations and to show hypocoercivity of the corresponding transition semig…

math.FA2021★ 10 cited

Maximal -regularity and -calculus for block operator matrices and applications

Antonio Agresti, Amru Hussein

Many coupled evolution equations can be described via -block operator matrices of the form in a product space $…

cs.HC2021★ 6 cited

Towards Collaborative Photorealistic VR Meeting Rooms

Alexander Schäfer, Gerd Reis, Didier Stricker

When designing 3D applications it is necessary to find a compromise between cost (e.g. money, time) and achievable realism of the virtual environment. Reusing existing assets has a…

physics.optics2021★ 1 cited

Magnetic-field assisted laser ablation of silicon

M. Schäfer, P. N. Terekhin, Y. Kang +5

Understanding and manipulation of the laser processing quality during the ablation of solids have crucial importance from fundamental and industrial perspectives. Here we have stud…

physics.optics2021★ 1 cited

Plasmonic nature of periodic surface structures following single laser pulse irradiation

P. N. Terekhin, J. Oltmanns, A. Blumenstein +6

Understanding the mechanisms and controlling the possibilities of surface nanostructuring is of crucial interest from fundamental and practical perspectives. Here we report a direc…

cs.CV2021★ 4 cited

RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut -Tree Representation

Sk Aziz Ali, Kerem Kahraman, Gerd Reis +1

We propose RPSRNet - a novel end-to-end trainable deep neural network for rigid point set registration. For this task, we use a novel -tree representation for the input point…

cs.LG2021★ 22 cited

Neural Transformation Learning for Deep Anomaly Detection Beyond Images

Chen Qiu, Timo Pfrommer, Marius Kloft +2

Data transformations (e.g. rotations, reflections, and cropping) play an important role in self-supervised learning. Typically, images are transformed into different views, and neu…