Universal relaxation speedup in open quantum systems through transient conditional and unconditional resetting
Parvinder Solanki, Igor Lesanovsky, Gabriele Perfetto
TL;DR
The paper demonstrates that transient stochastic resetting can universally accelerate relaxation in open quantum systems, including many-body setups with slow metastable dynamics and first-order phase transitions. By applying resets during a finite transient time $t_r$, either unconditionally to a fixed state or conditionally based on measurement outcomes, the authors show acceleration is achievable without fine-tuning of initial states, relying only on macroscopic properties of the target stationary state. The results reveal both weak and strong Mpemba effects in simple qubits and metastable qutrits, and exponential speedups across a Kerr oscillator phase transition and the Dicke model. Conditional resetting further guarantees initial-state-independent acceleration, offering a robust route to rapid state preparation and relaxation in realistic noisy quantum devices. The framework is supported by extensive analytic and numerical analyses and is experimentally accessible across multiple platforms such as cavities, superconducting circuits, and trapped ions.
Abstract
Speeding up the relaxation dynamics of many-body quantum systems is important in a variety of contexts, including quantum computation and state preparation. We demonstrate that such acceleration can be universally achieved via transient stochastic resetting. This means that during an initial time interval of finite duration, the dynamics is interrupted by resets that take the system to a designated state at randomly selected times. We illustrate this idea for few-body open systems and also for a challenging many-body case, where a first-order phase transition leads to a divergence of relaxation time. In all scenarios, a significant and sometimes even exponential acceleration in reaching the stationary state is observed, similar to the so-called Mpemba effect. The universal nature of this speedup lies in the fact that the design of the resetting protocol only requires knowledge of a few macroscopic properties of the target state, such as the order parameter of the phase transition, while it does not necessitate any fine-tuned manipulation of the initial state.
