5 papers
A scalable and resource-efficient pipelined p-computer for probabilistic Ising machines
Deborah Volpe, Eleonora Raimondo, Andrea Grimaldi +7
Probabilistic Ising machines (PIMs) based on probabilistic bits offer a hardware-friendly route to solve combinatorial optimization problems, but most digital implementations achie…
A Quantum-Compliant Formulation for Network Epidemic Control
Lorenzo Zino, Mattia Boggio, Deborah Volpe +3
We deal with controlling the spread of an epidemic disease on a network by isolating one or multiple locations by banning people from leaving them. To this aim, we build on the sus…
A Quantum Approach for Optimal Transient Control in Network-Based Epidemic Models
Deborah Volpe, Giacomo Orlandi, Mattia Boggio +3
Effective epidemic control is crucial for mitigating the spread of infectious diseases, particularly when pharmaceutical interventions such as vaccines or treatments are limited. N…
Extended-variable probabilistic computing with p-dits
Christian Duffee, Jordan Athas, Andrea Grimaldi +4
Ising machines can solve combinatorial optimization problems by representing them as energy minimization problems. A common implementation is the probabilistic Ising machine (PIM),…
Quantum optimization for Nonlinear Model Predictive Control
Carlo Novara, Mattia Boggio, Deborah Volpe
Nonlinear Model Predictive Control (NMPC) is a general and flexible control approach, used in many industrial contexts, and is based on the online solution of a nonlinear optimizat…