5 papers
Robust spin-squeezing with random interaction graphs: the lesson from universality
Andrea Solfanelli, Augusto Smerzi, Peter Zoller +1
We establish the conditions under which scalable spin squeezing can be achieved in interacting spin ensembles embedded in arbitrary, inhomogeneous graph geometries. We identify two…
Bounded-Error Quantum Simulation via Hamiltonian and Lindbladian Learning
Tristan Kraft, Manoj K. Joshi, William Lam +13
Analog Quantum Simulators offer a route to exploring strongly correlated many-body dynamics beyond classical computation, but their predictive power remains limited by the absence…
Estimating ground-state properties in quantum simulators with global control
Cristian Tabares, Dominik S. Wild, J. Ignacio Cirac +3
Accurately determining ground-state properties of quantum many-body systems remains one of the major challenges of quantum simulation. In this work, we present a protocol for estim…
Programming optical-lattice Fermi-Hubbard quantum simulators
Cristian Tabares, Christian Kokail, Peter Zoller +2
Fermionic atoms in optical lattices provide a native implementation of Fermi-Hubbard (FH) models that can be used as analog quantum simulators of many-body fermionic systems. Recen…
Hamiltonian and Liouvillian learning in weakly-dissipative quantum many-body systems
Tobias Olsacher, Tristan Kraft, Christian Kokail +2
We discuss Hamiltonian and Liouvillian learning for analog quantum simulation from non-equilibrium quench dynamics in the limit of weakly dissipative many-body systems. We present…