213 citations · 559 across the 10 of their papers we have counts for
9 papers
State-dependent mobility edge in kinetically constrained models
Manthan Badbaria, Nicola Pancotti, Rajeev Singh +2
In this work, we show that the kinetically constrained quantum East model lies between a quantum scarred and a many-body localized system featuring an unconventional type of mobili…
Rydberg platform for non-ergodic chiral quantum dynamics
Riccardo J. Valencia-Tortora, Nicola Pancotti, Michael Fleischhauer +2
We propose a mechanism for engineering chiral interactions in Rydberg atoms via a directional antiblockade condition, where an atom can change its state only if an atom to its righ…
Kinetically Constrained Quantum Dynamics in Superconducting Circuits
Riccardo J. Valencia-Tortora, Nicola Pancotti, Jamir Marino
We study the dynamical properties of the bosonic quantum East model at low temperature. We show that a naive generalization of the corresponding spin-1/2 quantum East model does no…
Speed-ups to isothermality: Enhanced quantum thermal machines through control of the system-bath coupling
Nicola Pancotti, Matteo Scandi, Mark T. Mitchison +1
Isothermal transformations are minimally dissipative but slow processes, as the system needs to remain close to thermal equilibrium along the protocol. Here, we show that smoothly…
Quantum East model: localization, non-thermal eigenstates and slow dynamics
Nicola Pancotti, Giacomo Giudice, J. Ignacio Cirac +2
We study in detail the properties of the quantum East model, an interacting quantum spin chain inspired by simple kinetically-constrained models of classical glasses. Through a com…
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
Ivan Glasser, Ryan Sweke, Nicola Pancotti +2
Tensor-network techniques have enjoyed outstanding success in physics, and have recently attracted attention in machine learning, both as a tool for the formulation of new learning…
From probabilistic graphical models to generalized tensor networks for supervised learning
Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac
Tensor networks have found a wide use in a variety of applications in physics and computer science, recently leading to both theoretical insights as well as practical algorithms in…
Neural-Network Quantum States, String-Bond States, and Chiral Topological States
Ivan Glasser, Nicola Pancotti, Moritz August +2
Neural-Network Quantum States have been recently introduced as an Ansatz for describing the wave function of quantum many-body systems. We show that there are strong connections be…
Almost-conserved operators in nearly many-body localized systems
Nicola Pancotti, Michael Knap, David A. Huse +2
We construct almost conserved local operators, that possess a minimal commutator with the Hamiltonian of the system, near the many-body localization transition of a one-dimensional…