activity
20232026
most citedAutomated discovery of reprogrammable nonlinear dynamic metamaterials

79 citations · 92 across the 5 of their papers we have counts for

collaborators

6 papers

quant-ph2026

Quantum Simulation of Dissipative Non-Markovian Coupled Classical Oscillators

Malte Schade, Sophia Simon, Nathan Wiebe +3

We present a quantum algorithm for simulating classical oscillator networks characterized by non-Markovian dissipation and time-varying material properties, extending recent speedu…

cond-mat.dis-nn2026

Unifying Physical Backpropagation

Cyrill Bösch, Yigithan Gediz, Hakan Türeci +2

Physical computing systems exploit device dynamics for computation, but their gradient-based optimization is challenging: backpropagation through a digital twin suffers from a mode…

cs.LG2025★ 1 cited

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…

physics.app-ph2024★ 79 cited

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…

physics.geo-ph2023★ 8 cited

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.…

cond-mat.mes-hall2023★ 4 cited

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…