3.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR238 papers
- Helmholtz-Zentrum Berlin für Materialien und EnergieDE229 papers
- Technische Universität BerlinDE205 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE122 papers
- University of CambridgeGB113 papers
- Humboldt-Universität zu BerlinDE110 papers
- ETH ZurichCH105 papers
- Zuse Institute BerlinDE105 papers
- University of GenevaCH95 papers
- Sorbonne UniversitéFR94 papers
- Leiden UniversityNL91 papers
- Princeton UniversityUS90 papers
241 papers · 1 filter
Learning Koopman eigenfunctions of stochastic diffusions with optimal importance sampling and ISOKANN
Alexander Sikorski, Enric Ribera Borrell, Marcus Weber
For stochastic diffusion processes the dominant eigenfunctions of the corresponding Koopman operator contain important information about the slow-scale dynamics, that is, about the…
Accurate reduced models for the pH oscillations in the urea-urease reaction confined to giant lipid vesicles
Arthur V. Straube, Stefanie Winkelmann, Felix Höfling
This theoretical study concerns a pH oscillator based on the urea-urease reaction confined to giant lipid vesicles. Under suitable conditions, differential transport of urea and hy…
Weak error analysis for a nonlinear SPDE approximation of the Dean-Kawasaki equation
Ana Djurdjevac, Helena Kremp, Nicolas Perkowski
We consider a nonlinear SPDE approximation of the Dean-Kawasaki equation for independent particles. Our approximation satisfies the physical constraints of the particle system, i.e…
Entanglement phase diagrams from partial transpose moments
Jose Carrasco, Matteo Votto, Vittorio Vitale +5
We present experimentally and numerically accessible quantities that can be used to differentiate among various families of random entangled states. To this end, we analyze the ent…
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics
Maciej Majewski, Adrià Pérez, Philipp Thölke +7
A generalized understanding of protein dynamics is an unsolved scientific problem, the solution of which is critical to the interpretation of the structure-function relationships t…
Diode effects in current-biased Josephson junctions
Jacob F. Steiner, Larissa Melischek, Martina Trahms +2
Current-biased Josephson junctions exhibit hysteretic transitions between dissipative and superconducting states as characterized by switching and retrapping currents. Here, we dev…
Positive Lyapunov Exponent in the Hopf Normal Form with Additive Noise
Dennis Chemnitz, Maximilian Engel
We prove the positivity of Lyapunov exponents for the normal form of a Hopf bifurcation, perturbed by additive white noise, under sufficiently strong shear strength. This completes…
Graph test of controllability in qubit arrays: A systematic way to determine the minimum number of external controls
Fernando Gago-Encinas, Monika Leibscher, Christiane P. Koch
The ability to implement any desired quantum logic gate on a quantum processing unit is equivalent to evolution-operator controllability of the qubits. Conversely, controllability…
Diode effect in Josephson junctions with a single magnetic atom
Martina Trahms, Larissa Melischek, Jacob F. Steiner +8
Current flow in electronic devices can be asymmetric with bias direction, a phenomenon underlying the utility of diodes and known as non-reciprocal charge transport. The promise of…
Discovery of TOI-1260d and the characterisation of the multi-planet system
Kristine W. F. Lam, J. Cabrera, M. J. Hooton +83
We report the discovery of a third planet transiting the star TOI-1260, previously known to host two transiting sub-Neptune planets with orbital periods of 3.127 and 7.493 days, re…
Controlling crystallization: What liquid structure and dynamics reveal about crystal nucleation mechanisms
Jutta Rogal, Grisell Díaz Leines
Over recent years, molecular simulations have provided invaluable insights into the microscopic processes governing the initial stages of crystal nucleation and growth. A key aspec…
Tensor network study of the spin-1/2 Heisenberg anti-ferromagnet on the Shuriken lattice
Philipp Schmoll, Augustine Kshetrimayum, Jan Naumann +2
We investigate the ground state of the spin Heisenberg anti-ferromagnet on the Shuriken lattice, also in the presence of an external magnetic field. To this end, we employ…
Long-Range Free Fermions: Lieb-Robinson Bound, Clustering Properties, and Topological Phases
Zongping Gong, Tommaso Guaita, J. Ignacio Cirac
We consider free fermions living on lattices in arbitrary dimensions, where hopping amplitudes follow a power-law decay with respect to the distance. We focus on the regime where t…
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
Pattarawat Chormai, Jan Herrmann, Klaus-Robert Müller +1
Explainable AI aims to overcome the black-box nature of complex ML models like neural networks by generating explanations for their predictions. Explanations often take the form of…
Reinforcement learning optimization of the charging of a Dicke quantum battery
Paolo Andrea Erdman, Gian Marcello Andolina, Vittorio Giovannetti +1
Quantum batteries are energy-storing devices, governed by quantum mechanics, that promise high charging performance thanks to collective effects. Due to its experimental feasibilit…
Fermi-arc metals
Maxim Breitkreiz, Piet W. Brouwer
We predict a novel metallic state of matter that emerges in a Weyl-semimetal superstructure with spatially varying Weyl-node positions. In the new state, the Weyl nodes are stretch…
Tensor-network-assisted variational quantum algorithm
Junxiang Huang, Wenhao He, Yukun Zhang +3
Near-term quantum devices generally suffer from shallow circuit depth and hence limited expressivity due to noise and decoherence. To address this, we propose tensor-network-assist…
Solving Quantified Modal Logic Problems by Translation to Classical Logics
Alexander Steen, Geoff Sutcliffe, Christoph Benzmüller
This article describes an evaluation of Automated Theorem Proving (ATP) systems on problems taken from the QMLTP library of first-order modal logic problems. Principally, the probl…
Predicting Shape Development: a Riemannian Method
Doğa Türkseven, Islem Rekik, Christoph von Tycowicz +1
Predicting the future development of an anatomical shape from a single baseline observation is a challenging task. But it can be essential for clinical decision-making. Research ha…
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
Matthias C. Caro
Learning about physical systems from quantum-enhanced experiments, relying on a quantum memory and quantum processing, can outperform learning from experiments in which only classi…
The Thermomajorization Polytope and Its Degeneracies
Frederik vom Ende, Emanuel Malvetti
Drawing inspiration from transportation theory, in this work we introduce the notions of "well-structured" and "stable" Gibbs states and we investigate their implications for quant…
ReQuSim: Faithfully simulating near-term quantum repeaters
Julius Wallnöfer, Frederik Hahn, Fabian Wiesner +2
Quantum repeaters have long been established to be essential for distributing entanglement over long distances. Consequently, their experimental realization constitutes a core chal…
Tomography of Feshbach Resonance States
Baruch Margulis, Karl P. Horn, Daniel M. Reich +8
Feshbach resonances are fundamental to interparticle interactions and become particularly important in cold collisions with atoms, ions, and molecules. Here we present the detectio…
Measurement-based quantum thermal machines with feedback control
Bibek Bhandari, Robert Czupryniak, Paolo Andrea Erdman +1
We investigate coupled-qubit-based thermal machines powered by quantum measurements and feedback. We consider two different versions of the machine: 1) a quantum Maxwell's demon wh…