9 citations · 12 across the 10 of their papers we have counts for
10 papers
Exciton-induced magnons carrying orbital angular momentum in CrI3
Martin Pavelka, Vishal Shokeen, Ruslan Chulkov +15
Magnons are collective spin excitations that contain and transport spin angular momentum in magnetic materials. It has been suggested that they can also carry orbital angular momen…
Double-pulse control of all optical magnetization reversal in Tb/Co multilayers
Sheng Li, Dinar Khusyainov, Rein Liefferink +7
Recent experiments have shown that femtosecond laser pulse with a Gaussian intensity profile can induce magnetization reversal in Tb/Co multilayers with a ring-shaped switching pat…
A fluctuation-free pathway for a topological magnetic phase transition
Riccardo Battistelli, Lukas Körber, Kai Litzius +27
Topological magnetic textures are particle-like spin configurations stabilized by competing interactions. Their formation is commonly attributed to fluctuation-driven, first-order…
Picosecond localization dynamics following ultrafast nanoscale magnetic switching
Daniel Metternich, Michael Schneider, Giuseppe Mercurio +28
Ultrashort laser pulses provide the fastest known way to switch magnetic order. Such excitation commonly creates nanometer-scale domains, even after homogeneous illumination when t…
Probabilistic Computers for Neural Quantum States
Shuvro Chowdhury, Jasper Pieterse, Navid Anjum Aadit +3
Neural quantum states efficiently represent many-body wavefunctions with neural networks, but the cost of Monte Carlo sampling limits their scaling to large system sizes. Here we a…
Multi-value Probabilistic Computing with current-controlled Skyrmion Diffusion
Thomas B. Winkler, Yuean Zhou, Grischa Beneke +6
Magnetic systems are highly promising for implementing probabilistic computing paradigms because of the fitting energy scales and conspicuous non-linearities. While conventional bi…
Revealing domain wall stability during ultrafast demagnetization
Hung-Tzu Chang, Sergey Zayko, Timo Schmidt +5
The ultrafast control of nanoscale spin textures such as magnetic domain walls or skyrmions is essential for advancing high-speed, high-density spintronics. However, imaging their…
Predicting sampling advantage of stochastic Ising Machines for Quantum Simulations
Rutger J. L. F. Berns, Davi R. Rodrigues, Giovanni Finocchio +1
Stochastic Ising machines, sIMs, are highly promising accelerators for optimization and sampling of computational problems that can be formulated as an Ising model. Here we investi…
Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers
Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi +12
Recent demonstrations on specialized benchmarks have reignited excitement for quantum computers, yet whether they can deliver an advantage for practical real-world problems remains…
Noise-based Local Learning using Stochastic Magnetic Tunnel Junctions
Kees Koenders, Leo Schnitzpan, Fabian Kammerbauer +6
Brain-inspired learning in physical hardware has enormous potential to learn fast at minimal energy expenditure. One of the characteristics of biological learning systems is their…