3 papers
quant-ph2024
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…
quant-ph2023
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…
quant-ph2022
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…