4 citations · 4 across the 5 of their papers we have counts for
5 papers
Probing two-spin entanglement at quantum criticality on a quantum processor
Anshumitra Baul, Xiao Xiao, Phillip C. Lotshaw
Quantum phase transitions in many-body systems give rise to highly entangled states, and understanding their quantum correlations is crucial for characterizing quantum materials. H…
A Validation Framework for Quantum Simulation of Spin Dynamics against Inelastic Neutron Scattering and Classical Simulation
Gilles Buchs, Elaine Wong, Anshumitra Baul +16
Establishing quantum simulations as reliable tools for materials research requires quantitative validation against experiments and, where available, classical many-body calculation…
Quantum Classical Algorithm for the Study of Phase Transitions in the Hubbard Model via Dynamical Mean-Field Theory
Anshumitra Baul, Herbert F Fotso, Hanna Terletska +2
Simulating quantum many-body systems is believed to be one of the most promising applications of near-term noisy quantum computers. However, in the near term, system size limitatio…
An Application of Quantum Machine Learning on Quantum Correlated Systems: Quantum Convolutional Neural Network as a Classifier for Many-Body Wavefunctions from the Quantum Variational Eigensolver
Nathaniel Wrobel, Anshumitra Baul, Juana Moreno +1
Machine learning has been applied on a wide variety of models, from classical statistical mechanics to quantum strongly correlated systems for the identification of phase transitio…
Application of the Variational Autoencoder to Detect the Critical Points of the Anisotropic Ising Model
Anshumitra Baul, Nicholas Walker, Juana Moreno +1
We generalize the previous study on the application of variational autoencoders to the two-dimensional Ising model to a system with anisotropy. Due to the self-duality property of…