output
19972026
most citedFault-tolerant quantum computation by anyons

7.3k citations

Showing 2023Show all

49 papers · 1 filter

cond-mat.mes-hall2023★ 12 cited

Towards an experimental proof of the magnonic AharonovCasher effect

Rostyslav O. Serha, Vitaliy I. Vasyuchka, Alexander A. Serga +1

Controlling the phase and amplitude of spin waves in magnetic insulators with an electric field opens the way to fast logic circuits with ultra-low power consumption. One way to ac…

cs.CR2023★ 2 cited

Okapi: Efficiently Safeguarding Speculative Data Accesses in Sandboxed Environments

Philipp Schmitz, Tobias Jauch, Alex Wezel +6

This paper introduces Okapi, a new hardware/software cross-layer architecture designed to mitigate Transient Execution Side Channel attacks, including Spectre variants, in modern c…

physics.ed-ph2023★ 55 cited

Harnessing Large Language Models to Enhance Self-Regulated Learning via Formative Feedback

Steffen Steinert, Karina E. Avila, Stefan Ruzika +2

Effectively supporting students in mastering all facets of self-regulated learning is a central aim of teachers and educational researchers. Prior research could demonstrate that f…

cond-mat.quant-gas2023★ 6 cited

Local temperature control of magnon frequency and direction of supercurrents in a magnon Bose-Einstein condensate

Matthias R. Schweizer, Franziska Kühn, Victor S. L'vov +4

The creation of temperature variations in magnetization, and hence in the frequencies of the magnon spectrum in laser-heated regions of magnetic films, is an important method for s…

quant-ph2023★ 49 cited

Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing

Philipp Schworm, Xiangquian Wu, Matthias Klar +2

Flexible Job Shop Scheduling (FJSSP) is a complex optimization problem crucial for real-world process scheduling in manufacturing. Efficiently solving such problems is vital for ma…

physics.atom-ph2023★ 2 cited

All-optical measurement of magnetic fields for quantum gas experiments

Suthep Pomjaksilp, Sven Schmidt, Aaron Thielmann +2

We present an all-optical method to measure and compensate for residual magnetic fields present in a cloud of ultracold atoms trapped in an optical dipole trap. Our approach levera…

cond-mat.quant-gas2023★ 5 cited

Bose-Einstein condensation in systems with flux equilibrium

Victor S. L'vov, Anna Pomyalov, Sergey V. Nazarenko +4

We consider flux equilibrium in dissipative nonlinear wave systems subject to external energy pumping. In such systems, the elementary excitations, or quasiparticles, can create a…

cond-mat.mtrl-sci2023★ 14 cited

Nonlinear erasing of propagating spin-wave pulses in thin-film Ga:YIG

David Breitbach, Moritz Bechberger, Björn Heinz +8

Nonlinear phenomena are key for magnon-based information processing, but the nonlinear interaction between two spin-wave signals requires their spatio-temporal overlap which can be…

cond-mat.quant-gas2023★ 4 cited

Stabilizing an ultracold Fermi gas against Fermi acceleration to superdiffusion through localization

Sian Barbosa, Maximilian Kiefer-Emmanouilidis, Felix Lang +2

Anderson localization, i.e., destructive quantum interference of multiple-scattering paths, halts transport entirely. Contrarily, time-dependent random forces expedite transport vi…

cond-mat.quant-gas2023★ 7 cited

What can we learn from diffusion about Anderson localization of a degenerate Fermi gas?

Sian Barbosa, Maximilian Kiefer-Emmanouilidis, Felix Lang +2

Disorder can fundamentally modify the transport properties of a system. A striking example is Anderson localization, suppressing transport due to destructive interference of propag…

quant-ph2023★ 14 cited

Chiral quantum router with Rydberg atoms

Nikolaos E. Palaiodimopoulos, Simon Ohler, Michael Fleischhauer +1

We exploit controlled breaking of time-reversal symmetry to realize coherent routing of quantum information in spin networks. The key component of our scheme is a spin triangle who…

math.OC2023★ 2 cited

On symmetry adapted bases in trigonometric optimization

Tobias Metzlaff

The problem of computing the global minimum of a trigonometric polynomial is computationally hard. We address this problem for the case, where the polynomial is invariant under the…

eess.SP2023

A Reliable and Resilient Framework for Multi-UAV Mutual Localization

Zexin Fang, Bin Han, Hans D. Schotten

This paper presents a robust and secure framework for achieving accurate and reliable mutual localization in multiple unmanned aerial vehicle (UAV) systems. Challenges of accurate…

cs.CR2023★ 1 cited

MCU-Wide Timing Side Channels and Their Detection

Johannes Müller, Anna Lena Duque Antón, Lucas Deutschmann +8

Microarchitectural timing side channels have been thoroughly investigated as a security threat in hardware designs featuring shared buffers (e.g., caches) or parallelism between at…

cond-mat.mes-hall2023★ 9 cited

Anisotropy-assisted magnon condensation in ferromagnetic thin films

Therese Frostad, Philipp Pirro, Alexander A. Serga +3

We theoretically demonstrate that adding an easy-axis magnetic anisotropy facilitates magnon condensation in thin yttrium iron garnet (YIG) films. Dipolar interactions in a quasi-e…

math.NA2023

A mathematical model for meniscus cartilage regeneration

Elise Grosjean, Bernd Simeon, Christina Surulescu

We propose a continuous model for meniscus cartilage regeneration triggered by two populations of cells migrating and (de)differentiating within an artificial scaffold with a known…

physics.ed-ph2023★ 57 cited

Unreflected Acceptance -- Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education

Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis +5

Large language models (LLMs) have recently gained popularity. However, the impact of their general availability through ChatGPT on sensitive areas of everyday life, such as educati…

cs.CE2023★ 1 cited

Scientific modeling of Optical 3D Measuring Devices based on GPU-accelerated Ray Tracing using the NVIDIA OptiX Engine

Andrej Keksel, Samuel Schmidt, Dietrich Beck +1

Scientific optical 3D modeling requires the possibility to implement highly flexible and customizable mathematical models as well as high computing power. However, established ray…

math.OC2023★ 5 cited

Topology Optimization for Uniform Flow Distribution in Electrolysis Cells

Leon Baeck, Sebastian Blauth, Christian Leithäuser +2

In this paper we consider the topology optimization for a bipolar plate of a hydrogen electrolysis cell. We present a model for the bipolar plate using the Stokes equation with an…

quant-ph2023★ 18 cited

Solving optimization problems with local light shift encoding on Rydberg quantum annealers

Kapil Goswami, Rick Mukherjee, Herwig Ott +1

We provide a non-unit disk framework to solve combinatorial optimization problems such as Maximum Cut (Max-Cut) and Maximum Independent Set (MIS) on a Rydberg quantum annealer. Our…

cs.CR2023★ 11 cited

A Scalable Formal Verification Methodology for Data-Oblivious Hardware

Lucas Deutschmann, Johannes Mueller, Mohammad Rahmani Fadiheh +2

The importance of preventing microarchitectural timing side channels in security-critical applications has surged in recent years. Constant-time programming has emerged as a best-p…

cond-mat.mtrl-sci2023★ 8 cited

An adaptive model for the optical properties of excited gold

P. D. Ndione, S. T. Weber, D. O. Gericke +1

We study the temperature-dependent optical properties of gold over a broad energy spectrum covering photon energies below and above the interband threshold. We apply a semi-analyti…

eess.IV2023★ 10 cited

DWA: Differential Wavelet Amplifier for Image Super-Resolution

Brian B. Moser, Stanislav Frolov, Federico Raue +2

This work introduces Differential Wavelet Amplifier (DWA), a drop-in module for wavelet-based image Super-Resolution (SR). DWA invigorates an approach recently receiving less atten…

cs.LG2023

Linearly-scalable learning of smooth low-dimensional patterns with permutation-aided entropic dimension reduction

Illia Horenko, Lukas Pospisil

In many data science applications, the objective is to extract appropriately-ordered smooth low-dimensional data patterns from high-dimensional data sets. This is challenging since…