7 papers
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…
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…
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…
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…