4 citations · 12 across the 12 of their papers we have counts for
12 papers
Acoustic Cloning
Jonas Müller, Theodor S. Becker, Xun Li +4
Cloning refers to producing identical copies of existing objects. Here, we experimentally show how to clone acoustic scattering objects. We acquire a digital twin and bring it back…
Programming nanomechanical computation with light
Xiaofei Guo, Jonne Drost, Fons van der Laan +3
Looking at physical systems as computers allows us to regard physical properties, such as thermal noise, symmetry or topology, as unconventional resources for computation. However,…
Synthesis of mass-spring networks from high-level code descriptions
Parisa Omidvar, Marc Serra-Garcia
Structural nonlinearity can be harnessed to program complex functionalities in robotic devices. However, it remains a challenge to design nonlinear systems that will accomplish a s…
Racetrack computing with a topological boundary ratchet
Parisa Omidvar, Markus Bestler, Sima Zahedi Fard +2
Multistable order parameters provide a natural means of encoding non-volatile information in spatial domains, a concept that forms the foundation of magnetic memory devices. Howeve…
Embodying computation in nonlinear perturbative metamaterials
Sima Zahedi Fard, Paolo Tiso, Parisa Omidvar +1
Designing metamaterials that carry out advanced computations poses a significant challenge. A powerful design strategy splits the problem into two steps: First, encoding the desire…
Local Learning Rules for Out-of-Equilibrium Physical Generative Models
Cyrill Bösch, Geoffrey Roeder, Marc Serra-Garcia +1
We show that the out-of-equilibrium driving protocol of score-based generative models (SGMs) can be learned via local learning rules. The gradient with respect to the parameters of…
Mass-Spring Models for Passive Keyword Spotting: A Springtronics Approach
Finn Bohte, Theophile Louvet, Vincent Maillou +1
Mechanical systems played a foundational role in computing history, and have regained interest due to their unique properties, such as low damping and the ability to process mechan…
Multimodal oscillator networks learn to solve a classification problem
Daan de Bos, Marc Serra-Garcia
We numerically demonstrate a network of coupled oscillators that can learn to solve a classification task from a set of examples -- performing both training and inference through t…
Adjoint computation of Berry phase gradients
Cyrill Bösch, Marc Serra-Garcia, Christian Böhm +1
Berry phases offer a geometric perspective on wave propagation and are key to designing materials with topological wave transport. However, controlling Berry phases is challenging…
Reprogrammable, in-materia matrix-vector multiplication with floppy modes
Theophile Louvet, Parisa Omidvar, Marc Serra-Garcia
Matrix-vector multiplications are a fundamental building block of artificial intelligence; this essential role has motivated their implementation in a variety of physical substrate…
On acoustic space-time media that compute their own inverse
Dirk-Jan van Manen, Johannes Aichele, Jonas Müller +2
We derive time reflection and transmission coefficients for 1D acoustic waves encountering a time boundary at which the properties of the medium change instantaneously. The time re…
Differences between quantum and classical adiabatic evolution
Cyrill Bösch, Andreas Fichtner, Marc Serra Garcia
Adiabatic evolution is an emergent design principle for time modulated metamaterials, often inspired by insights from topological quantum computing such as braiding operations. How…