activity
20182023
most citedEntanglement Features of Random Neural Network Quantum States

17 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech2023★ 10 cited

Unitary k-designs from random number-conserving quantum circuits

Sumner N. Hearth, Michael O. Flynn, Anushya Chandran +1

Local random circuits scramble efficiently and accordingly have a range of applications in quantum information and quantum dynamics. With a global charge however, the scramb…

cond-mat.str-el2022★ 10 cited

Momentum space entanglement of interacting fermions

Michael O. Flynn, Long-Hin Tang, Anushya Chandran +1

Momentum space entanglement entropy probes quantum correlations in interacting fermionic phases. It is very sensitive to interactions, obeying volume-law scaling in general, while…

quant-ph2022★ 17 cited

Entanglement Features of Random Neural Network Quantum States

Xiao-Qi Sun, Tamra Nebabu, Xizhi Han +2

Restricted Boltzmann machines (RBMs) are a class of neural networks that have been successfully employed as a variational ansatz for quantum many-body wave functions. Here, we deve…

cond-mat.str-el2019★ 4 cited

High-Field Expansion Approach to Kagome Antiferromagnets with Dzyaloshinskii-Moriya Interactions

Michael O. Flynn, Rajiv R. P. Singh

We apply linked cluster expansion techniques to study the polarized high-field phase of a spin-half antiferromagnet on the Kagome lattice with Heisenberg and Dzyaloshinskii-Moriya…

quant-ph2018★ 3 cited

Machine learning, quantum chaos, and pseudorandom evolution

Daniel W. F. Alves, Michael O. Flynn

By modeling quantum chaotic dynamics with ensembles of random operators, we explore howmachine learning learning algorithms can be used to detect pseudorandom behavior in qubit sys…