We will talk about recent developments in designing quantum algorithms for preparing quantum thermal states (Gibbs states), which is a promising application for future quantum computers. These algorithms are inspired by the cooling process in Nature and, at the same time, the quantum analog of Markov Chain Monte Carlo methods. The talk will discuss the key challenges in the design of quantum Gibbs sampling algorithms, review recent progress [2303.18224, 2311.09207], and set the stage for the next two talks.