Oscillator Ising Machines and probabilistic bit platforms are emerging hardware approaches for solving hard computational problems, traditionally viewed as distinct non-von Neumann computing paradigms. This work demonstrates that by controlling the interplay between first- and second-harmonic injection, Oscillator Ising Machines can be configured to act as probabilistic samplers, extending their utility beyond combinatorial optimization to sampling-driven tasks.
- E. M. Hasantha Ekanayake
- Nikhat Khan
- Nikhil Shukla
