The quest for realizing and manipulating ever smaller man-made movable structures and
dynamical machines has spurred tremendous endeavors, led to important discoveries, and …

Imposing chirality on a physical system engenders unconventional energy flow and
responses, such as the Aharonov–Bohm effect and the topological quantum Hall phase for …

Non-Hermitian dynamics, as observed in photonic, atomic, electrical and optomechanical
platforms, holds great potential for sensing applications and signal processing. Recently …

Ising machines are hardware devices that can solve ground-state search problems of Ising
spin models and could be of use in solving various practical combinatorial optimization …

Combinatorial optimization problems are crucial for widespread applications but remain
difficult to solve on a large scale with conventional hardware. Novel optical platforms, known …

Ising machines are novel computing devices for the energy minimization of Ising models.
These combinatorial optimization problems are of paramount importance for science and …

Nonlinear dynamics of spiking neural networks have recently attracted much interest as an
approach to understand possible information processing in the brain and apply it to artificial …

Classical and Quantum Parametric Phenomena provides an overview of the phenomena
arising when parametric pumping is applied to oscillators. These phenomena include …

Linear mechanical systems with time-modulated parameters can harbor oscillations with
amplitudes that grow or decay exponentially with time due to the phenomenon of parametric …

Networks of coupled Kerr parametric oscillators (KPOs) are a leading physical platform for
analog solving of complex optimization problems. These systems are colloquially known as …