Negative Dissipation Rates Enabled in Quantum System Simulation

Researchers at the Department of Physics and Materials Science, University of Luxembourg have developed a method for simulating open quantum systems that incorporates negative dissipation rates within the Gorini-Kossakowski-Sudarshan-Lindblad master equation. This approach moves beyond standard approximations, allowing controlled study of non-Markovian processes in quantum simulations.

Their work utilizes Lyapunov-based feedback to steer quantum systems toward a desired state by intentionally using engineered noise; while typical noisy simulations degrade, this method exhibits improved convergence despite increased computational demands. The team reports this framework offers a strategy for harnessing current quantum hardware and advancing robust control protocols based on open-system dynamics.

GKSL Dynamics and Non-Markovian Processes in Quantum Simulation

The ability to simulate quantum systems is fundamentally challenged by the inherent noise present in current hardware. A new approach leverages this noise, rather than attempting to eliminate it, to achieve improved control and accuracy in quantum simulations. Researchers are now employing the Gorini-Kossakowski-Sudarshan-Lindblad (GKSL) master equation in a way that incorporates negative dissipation rates, a counterintuitive technique that allows for manipulation of quantum states beyond typical limitations.

This method moves beyond the standard Markovian approximation, a simplification often used in quantum simulations, to enable controlled study of non-Markovian processes, those where future behavior isn’t solely determined by the present state. This work, detailed in a recent publication, centers on a quantum algorithm designed to calculate ground-state properties by exploiting feedback-controlled, noise-assisted dynamics. Lyapunov-based feedback plays a critical role, steering the quantum system toward a specifically defined state under engineered noise conditions.

This intentional introduction of noise represents a departure from conventional quantum computing strategies focused on minimizing environmental interference. The team’s approach allows for the simulation of open quantum systems, acknowledging that real-world quantum systems are rarely isolated and constantly interact with their environment. This is a significant step toward more realistic and robust quantum simulations, as it directly addresses the challenges posed by decoherence and other noise sources.

While typical noisy quantum simulations suffer from performance degradation as noise accumulates, this new method demonstrates improved convergence, a key indicator of simulation accuracy. This improvement, however, comes at a cost; the method exhibits an increased exponential sampling overhead, meaning it requires more computational resources to achieve the same level of confidence in the results. The researchers acknowledge this trade-off, suggesting that the enhanced accuracy justifies the increased computational demands in certain applications.

The study also acknowledges the contributions of several colleagues, noting that it is a pleasure to thank Peter Zoller for numerous insightful suggestions that helped improve the manuscript. Further thanks were extended to Kazutaka Takahashi, Pablo Martínez-Azcona, and András Grabarits for useful discussions during the development of this research. Kasturi Ranjan Swain and Adolfo del Campo, both affiliated with the Department of Physics and Materials Science, University of Luxembourg, spearheaded the work, publishing their findings in npj Quantum Information.

The authors declare no competing interests, and Malla, an Associate Editor of Physical Review Letters, was not involved in the review process of this specific manuscript. This careful attention to transparency and collaboration underscores the rigorous scientific approach taken in this investigation of quantum control and simulation. The research, accepted on June 27, 2026, and published on August 3, 2026, represents a notable advance in the field, offering a pathway to more reliable and efficient quantum simulations despite the limitations of current hardware.