177 citations · 400 across the 20 of their papers we have counts for
20 papers
Non-Hermitian topology in driven-dissipative systems: correspondence with quantum correlations and a resource for entanglement
Niladri Chakraborty, Clara C. Wanjura
Directional amplification, in which signals are amplified selectively depending on their propagation direction, is a key resource for quantum information processing and stands in o…
Non-Volatile Vortex MTJs with Opto-Electrical and Spin-Diode Nonlinearities as Multifunctional Neuromorphic Platforms
Felix Oberbauer, Tristan Joachim Winkel, Clara C Wanjura +6
The human brain achieves exceptional energy efficiency by co-locating memory and processing, yet reproducing this principle in hardware remains challenging because many neuromorphi…
Dependence of Equilibrium Propagation Training Success on Network Architecture
Qingshan Wang, Clara C. Wanjura, Florian Marquardt
The rapid rise of artificial intelligence has led to an unsustainable growth in energy consumption. This has motivated progress in neuromorphic computing and physics-based training…
Unifying framework for non-Hermitian and Hermitian topology in driven-dissipative systems
Clara C. Wanjura, Andreas Nunnenkamp
Recently, a one-to-one correspondence between non-trivial non-Hermitian topology and directional amplification has been demonstrated, theoretically and experimentally, for the case…
Training nonlinear optical neural networks with Scattering Backpropagation
Nicola Dal Cin, Florian Marquardt, Clara C. Wanjura
As deep learning applications continue to deploy increasingly large artificial neural networks, the associated high energy demands are creating a need for alternative neuromorphic…
Artificial discovery of lattice models for wave transport
Jonas Landgraf, Clara C. Wanjura, Vittorio Peano +1
Wave transport devices, such as amplifiers, frequency converters, and nonreciprocal devices, are essential for modern communication, signal processing, and sensing applications. Of…
Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
Clara C. Wanjura, Florian Marquardt
The widespread adoption of machine learning and artificial intelligence in all branches of science and technology has created a need for energy-efficient, alternative hardware plat…
Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier +25
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…
Detailed balance in non-equilibrium dynamics of granular matter: derivation and implications
Clara C. Wanjura, Amelie Mayländer, Othmar Marti +1
Modelling the dynamics of dense granular media is a long standing challenge and essential to many natural phenomena and technological applications. Here, we trace back puzzling exp…
Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation
Qingshan Wang, Clara C. Wanjura, Florian Marquardt
Given the rapidly growing scale and resource requirements of machine learning applications, the idea of building more efficient learning machines much closer to the laws of physics…
Massive quantum systems as interfaces of quantum mechanics and gravity
Sougato Bose, Ivette Fuentes, Andrew A. Geraci +7
The traditional view from particle physics is that quantum gravity effects should only become detectable at extremely high energies and small length scales. Due to the significant…
Optomechanical realization of the bosonic Kitaev-Majorana chain
Jesse J. Slim, Clara C. Wanjura, Matteo Brunelli +3
The fermionic Kitaev chain is a canonical model featuring topological Majorana zero modes. We report the experimental realization of its bosonic analogue in a nano-optomechanical n…
Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering
Clara C. Wanjura, Florian Marquardt
The increasing complexity of neural networks and the energy consumption associated with training and inference create a need for alternative neuromorphic approaches, e.g. using opt…
Restoration of the non-Hermitian bulk-boundary correspondence via topological amplification
Matteo Brunelli, Clara C. Wanjura, Andreas Nunnenkamp
Non-Hermitian (NH) lattice Hamiltonians display a unique kind of energy gap and extreme sensitivity to boundary conditions. Due to the NH skin effect, the separation between edge a…
Quadrature nonreciprocity: unidirectional bosonic transmission without breaking time-reversal symmetry
Clara C. Wanjura, Jesse J. Slim, Javier del Pino +3
Nonreciprocity means that the transmission of a signal depends on its direction of propagation. Despite vastly different platforms and underlying working principles, the realisatio…
Correspondence between non-Hermitian topology and directional amplification in the presence of disorder
Clara C. Wanjura, Matteo Brunelli, Andreas Nunnenkamp
In order for non-Hermitian (NH) topological effects to be relevant for practical applications, it is necessary to study disordered systems. In the absence of disorder, certain driv…
Topological framework for directional amplification in driven-dissipative cavity arrays
Clara C. Wanjura, Matteo Brunelli, Andreas Nunnenkamp
Directional amplification, in which signals are selectively amplified depending on their propagation direction, has attracted much attention as key resource for applications, inclu…
Structural Evolution of Granular Systems: Theory
Clara C. Wanjura, Paula Gago, Takashi Matsushima +1
A general theory is developed for the evolution of the cell order (CO) distribution in planar granular systems. Dynamic equations are constructed and solved in closed form for seve…
Deal-Grove Oxidation and Nanoparticle Adhesion - an AFM Study
Clara C. Wanjura, Daniel Geiger, Irina Schrezenmeier +2
We study the formation of nanometer thick oxide layers around nanoparticles (plateaus) in a wet nitrogen environment over 32 days. We determine both the plateau height and the late…
Structural evolution of granular systems: Theory
Raphael Blumenfeld
A first-principles theory is developed for the general evolution of a key structural characteristic of planar granular systems - the cell order distribution. The dynamic equations…