12 citations · 42 across the 9 of their papers we have counts for
9 papers
Activated switching between coexisting limit cycles
Gabriel Margiani, Orjan Ameye, Oded Zilberberg +1
Noise-activated switching between coexisting stable states is a fundamental mechanism underlying stochastic dynamics in systems ranging from chemical reactions to neural networks.…
Nonequilibrium Kramers Turnover in a Kerr Parametric Oscillator
Daniel K. J. Boneß, Gabriel Margiani, Wolfgang Belzig +2
Activation processes govern noise-induced switching between long-lived states. In an equilibrium double well, the thermally activated switching rate exhibits a prefactor with a non…
A network of parametrically driven silicon nitride mechanical membranes
Luis Mestre, Suyash Singh, Gabriel Margiani +3
Networks of nonlinear resonators offer a promising platform for analog computing and the emulation of complex systems. However, realizing such networks remains challenging, as it r…
Three Strongly Coupled Kerr Parametric Oscillators Forming a Boltzmann Machine
Gabriel Margiani, Orjan Ameye, Oded Zilberberg +1
Coupled Kerr parametric oscillators (KPOs) are a promising resource for classical and quantum analog computation, for example to find the ground state of Ising Hamiltonians. Yet, t…
Slow and fast topological dynamical phase transitions in a Duffing resonator driven by two detuned tones
Letizia Catalini, Javier del Pino, Soumya S. Kumar +4
The combination of a strong pump and a weak probe has been widely applied to investigate both optical and nanomechanical devices. Such pump-probe measurements allows for the explor…
Hamiltonian reconstruction via ringdown dynamics
Vincent Dumont, Markus Bestler, Letizia Catalini +3
Many experimental techniques aim at determining the Hamiltonian of a given system. The Hamiltonian describes the system's evolution in the absence of dissipation, and is often cent…
A biased Ising model using two coupled Kerr parametric oscillators with external force
Pablo Álvarez, Davide Pittilini, Filippo Miserocchi +6
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…
Deterministic and stochastic sampling of two coupled Kerr parametric oscillators
Gabriel Margiani, Javier del Pino, Toni L. Heugel +6
The vision of building computational hardware for problem optimization has spurred large efforts in the physics community. In particular, networks of Kerr parametric oscillators (K…
Extracting the lifetime of a synthetic two-level system
Gabriel Margiani, Sebastian Guerrero, Toni L. Heugel +11
The Kerr Parametric Oscillator (KPO) is a nonlinear resonator system that is often described as a synthetic two-level system. In the presence of noise, the system switches between…