collaborators

13 papers

quant-ph2026

Glassy dynamics with softened kinetic constraints on a noisy quantum computer

Marcel Cech, Igor Lesanovsky, Federico Carollo

Mid-circuit measurements provide direct access to trajectory-level observables, revealing dynamical structures in many-body systems that are invisible in ensemble-averaged quantiti…

quant-ph2026

Path integral approach to the truncated Wigner approximation of driven-dissipative spins

Viktoria Noel, Michael Fleischhauer, Igor Lesanovsky

Phase-space approaches such as the truncated Wigner approximation (TWA) provide an efficient semiclassical framework for performing approximate simulations of the dynamics of open…

quant-ph2026

Quantum Synchronization

Parvinder Solanki, Albert Cabot, Fernando Iemini +8

Natural and engineered classical systems are replete with examples of synchronization, understood as the adjustment of rhythms of physical systems. Such synchronization is at the h…

quant-ph2026

Time series learning in a many-body Rydberg system with emergent collective amplification

Zongkai Liu, Qiming Ren, Chris Nill +12

Interacting Rydberg atoms constitute a versatile platform for the realization of non-equilibrium states of matter. Close to phase transitions, they respond collectively to external…

quant-ph2026

Intermittency and metastable dark states as a resource for continuous sensing

Robert Mattes, Igor Lesanovsky, Albert Cabot

Quanta emitted by an open quantum system carry information about intrinsic parameters, enabling their estimation via continuous monitoring. In practice, however, only a fraction of…

quant-ph2026

Getting large-scale quantum neural networks ready for quantum hardware

Mario Boneberg, Simon Kochsiek, Igor Lesanovsky

Quantum neural networks generalize classical artificial neural networks into the quantum domain. They are formulated as parameterized quantum circuits which are optimized by measur…