118 citations · 501 across the 8 of their papers we have counts for
8 papers
Tuning between continuous time crystals and many-body scars in long-range XYZ spin chains
Kieran Bull, Andrew Hallam, Zlatko Papić +1
Persistent oscillatory dynamics in non-equilibrium many-body systems is a tantalizing manifestation of ergodicity breakdown that continues to attract much attention. Recent works h…
Hypergrid subgraphs and the origin of scarred quantum walks in the many-body Hilbert space
Jean-Yves Desaules, Kieran Bull, Aiden Daniel +1
Following the recent observation of wave function revivals in large Rydberg atom quantum simulators, much effort has focused on understanding the emergence of many-body scars in no…
Probing Geometric Excitations of Fractional Quantum Hall States on Quantum Computers
Ammar Kirmani, Kieran Bull, Chang-Yu Hou +5
Intermediate-scale quantum technologies provide new opportunities for scientific discovery, yet they also pose the challenge of identifying suitable problems that can take advantag…
Correspondence principle for many-body scars in ultracold Rydberg atoms
Christopher J. Turner, Jean-Yves Desaules, Kieran Bull +1
The theory of quantum scarring -- a remarkable violation of quantum unique ergodicity -- rests on two complementary pillars: the existence of unstable classical periodic orbits and…
Quantum scars as embeddings of weakly "broken" Lie algebra representations
Kieran Bull, Jean-Yves Desaules, Zlatko Papic
We present an interpretation of scar states and quantum revivals as weakly "broken" representations of Lie algebras spanned by a subset of eigenstates of a many-body quantum system…
Getting CICY High
Kieran Bull, Yang-Hui He, Vishnu Jejjala +1
Supervised machine learning can be used to predict properties of string geometries with previously unknown features. Using the complete intersection Calabi-Yau (CICY) threefold dat…
Systematic construction of scarred many-body dynamics in 1D lattice models
Kieran Bull, Ivar Martin, Z. Papić
We introduce a family of non-integrable 1D lattice models that feature robust periodic revivals under a global quench from certain initial product states, thus generalizing the phe…
Machine Learning CICY Threefolds
Kieran Bull, Yang-Hui He, Vishnu Jejjala +1
The latest techniques from Neural Networks and Support Vector Machines (SVM) are used to investigate geometric properties of Complete Intersection Calabi-Yau (CICY) threefolds, a c…