Simulators for factoring general integers via order-finding, and the classical post-processing from [E21b] and [E24] that factors any integer completely in a single order-finding run with very high ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.