activity
20182024
collaborators

6 papers

cond-mat.stat-mech2024

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…

cond-mat.stat-mech2023

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…

quant-ph2019

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…

cond-mat.stat-mech2019

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…

cs.LG2019

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…

quant-ph2018

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…