We just published a paper in Communications Physics revealing a new mechanism for how dissipation can suppress memory effects in open quantum systems.

Markovian (memoryless) system-bath interactions play a fundamental role across physics, chemistry, and biological systems. Typically, such memoryless behavior arises from the bath’s properties. Here, we reveal a distinct mechanism: when a system interacts with both a Markovian and a non-Markovian bath, losses induced by the former suppress memory effects from the latter, making the interaction appear more Markovian. This effect leads to a direct interplay between independent baths, where Markovianity becomes “contagious,” transferring between them via their common system.

To describe this phenomenon, we introduce a Bloch-Redfield-inspired approach that accurately captures how a lossy system, governed by a Lindblad master equation, interacts with a non-Markovian bath. Beyond offering new insights into dissipative dynamics, this framework provides a computationally efficient alternative for modeling complex system-bath interactions across a broad range of scientific disciplines.

The practical implications of this work are significant: it means that controlling one type of bath can effectively modify the behavior of another, independent bath. This “contagious” Markovianity opens new avenues for engineering quantum systems and provides a powerful computational tool for studying complex dissipative dynamics that was previously intractable.