Research

My research lies at the intersection of open quantum systems, nonequilibrium many-body physics, and quantum information. I am particularly interested in understanding how quantum systems relax when they interact with their environment, and in turning this understanding into new ways of preparing, controlling, and computing with quantum systems.

My work currently develops along three closely connected directions.

Anomalous thermalization in open quantum systems

How a system approaches equilibrium can be just as interesting as the equilibrium state itself. I study unconventional relaxation and thermalization, with a particular focus on Mpemba effects, where systems prepared further from equilibrium can relax faster than seemingly closer ones. More broadly, I investigate how symmetries, spectral properties, environmental structure, and locality determine the pathways and timescales of dissipative dynamics. A central question is whether these features can be deliberately engineered to accelerate relaxation and prepare complex quantum states efficiently. 

Current projects range from general conditions for the occurrence of Mpemba effects to locality–preparation-time tradeoffs and the use of structured reservoirs to generate many-body entanglement. This direction is at the core of my Marie Skłodowska-Curie project, ASAP

Quantum and Thermodynamic Computing

I am interested in using nonequilibrium physics not only to understand quantum systems, but also as a computational resource. In quantum computing, I study how engineered dissipation can complement coherent control. One example is fast qubit reset, where anomalous relaxation can be exploited to bring a qubit to its target state more rapidly. More generally, I am interested in when coupling to an environment can make state preparation or control faster, simpler, or more robust.

I also work on thermodynamic computing, where physical relaxation itself performs part of a computation. In particular, I investigate hybrid digital-thermodynamic approaches in which optimized initializations and accelerated thermalization can speed up linear-algebra operations.

Tensor networks and quantum many-body dynamics

Understanding nonequilibrium many-body systems often requires numerical tools capable of accessing regimes far beyond exact simulation. I develop and apply tensor-network methods for the dynamics of interacting quantum systems, particularly in open and driven settings. One focus is extending tensor-network techniques beyond the computation of steady states to access the spectral structure and decay modes of Lindbladian dynamics, providing information about how large open quantum systems relax over different timescales.

I also use tensor networks to investigate condensed-matter problems including electron–phonon systems, light-driven correlated matter, and interacting open quantum systems. These numerical methods provide an important bridge between microscopic models and the relaxation phenomena explored in my other research directions.