5 papers
Unifying Physical Backpropagation
Cyrill Bösch, Yigithan Gediz, Hakan Türeci
Physical computing systems exploit device dynamics for computation, but their gradient-based optimization is challenging: backpropagation through a digital twin suffers from model-…
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…
Automated discovery of reprogrammable nonlinear dynamic metamaterials
Giovanni Bordiga, Eder Medina, Sina Jafarzadeh +4
Harnessing the rich nonlinear dynamics of highly-deformable materials has the potential to unlock the next generation of functional smart materials and devices. However, unlocking…
A quantum computing concept for 1-D elastic wave simulation with exponential speedup
Malte Schade, Cyrill Boesch, Vaclav Hapla +1
Quantum computing has attracted considerable attention in recent years because it promises speed-ups that conventional supercomputers cannot offer, at least for some applications.…
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…