Accelerating the relaxation of complex quantum systems into their steady state is a significant challenge with profound implications for quantum technologies and state preparation. In various scientific fields, stochastic resetting—randomly restarting a process—has proven to be an effective strategy for speeding up search and optimization tasks [1]. In this talk, we will explore how this concept can be adapted for open quantum systems. Specifically, we discuss a simple protocol based on transient stochastic resetting that accelerates the relaxation of generic open quantum systems [2]. The method involves periodically interrupting the natural evolution of the system and resetting it to a selected state at random intervals during an initial time window. We demonstrate that this approach leads to significant acceleration across a wide range of systems, from few-body systems to interacting many-body settings, including regimes with critically slow relaxation near phase transitions. In certain cases, the speedup can even become exponential, reminiscent of the quantum Mpemba effect [3]. The universal nature of this speedup lies in the fact that the design of the resetting protocol requires only knowledge of a few macroscopic properties of the target state, such as the order parameter of the phase transition, without necessitating any fine-tuned manipulation of the initial state.