Finding solutions in rugged energy landscapes is hard. Here, authors introduce a generalized Probabilistic Approximate Optimization Algorithm, a classical variational Monte Carlo method that reshapes the landscape and runs on probabilistic computers, recovers simulated annealing, and learns multi-temperature schedules.
- Abdelrahman S. Abdelrahman
- Shuvro Chowdhury
- Kerem Y. Camsari