602 citations · 2.8k across the 45 of their papers we have counts for
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Tensor Networks for Lattice Gauge Theories beyond one dimension: a Roadmap
Giuseppe Magnifico, Giovanni Cataldi, Marco Rigobello +4
Tensor network methods are a class of numerical tools and algorithms to study many-body quantum systems in and out of equilibrium, based on tailored variational wave functions. The…
Finite-temperature Rydberg arrays: quantum phases and entanglement characterization
Nora Reinić, Daniel Jaschke, Darvin Wanisch +2
As one of the most prominent platforms for analog quantum simulators, Rydberg atom arrays are a promising tool for exploring quantum phases and transitions. While the ground state…
Quantum Many-Body Scarring in a Non-Abelian Lattice Gauge Theory
Giuseppe Calajò, Giovanni Cataldi, Marco Rigobello +5
Quantum many-body scarring (QMBS) is an intriguing mechanism of weak ergodicity breaking that has recently spurred significant attention. Particularly prominent in Abelian lattice…
Digital quantum simulation of a (1+1)D SU(2) lattice gauge theory with ion qudits
Giuseppe Calajò, Giuseppe Magnifico, Claire Edmunds +3
We present a quantum simulation strategy for a (1+1)D SU(2) non-abelian lattice gauge theory with dynamical matter, a hardcore-gluon Hamiltonian Yang-Mills, tailored to a six-level…
Optimal sampling of tensor networks targeting wave function's fast decaying tails
Marco Ballarin, Pietro Silvi, Simone Montangero +1
We introduce an optimal strategy to sample quantum outcomes of local measurement strings for isometric tensor network states. Our method generates samples based on an exact cumulat…