5 citations · 9 across the 3 of their papers we have counts for
3 papers · 1 filter
Unsupervised learning of quantum many-body scars using intrinsic dimension
Harvey Cao, Dimitris G. Angelakis, Daniel Leykam
Quantum many-body scarred systems contain both thermal and non-thermal scar eigenstates in their spectra. When these systems are quenched from special initial states which share hi…
Shallow quantum circuits for efficient preparation of Slater determinants and correlated states on a quantum computer
Chong Hian Chee, Daniel Leykam, Adrian M. Mak +1
Fermionic ansatz state preparation is a critical subroutine in many quantum algorithms such as Variational Quantum Eigensolver for quantum chemistry and condensed matter applicatio…
Unravelling quantum chaos using persistent homology
Harvey Cao, Daniel Leykam, Dimitris G. Angelakis
Topological data analysis is a powerful framework for extracting useful topological information from complex datasets. Recent work has shown its application for the dynamical analy…