activity
20142017
most citedSelf-assembling tensor networks and holography in disordered spin chains

31 citations · 69 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.str-el2017★ 22 cited

Entanglement renormalization for disordered systems

Andrew M. Goldsborough, Glen Evenbly

We propose a tensor network method for investigating strongly disordered systems that is based on an adaptation of entanglement renormalization [G. Vidal, Phys. Rev. Lett. 99, 2204…

cond-mat.dis-nn2015★ 13 cited

Using entanglement to discern phases in the disordered one-dimensional Bose-Hubbard model

Andrew M. Goldsborough, Rudolf A. Römer

We perform a matrix product state based density matrix renormalisation group analysis of the phases for the disordered one-dimensional Bose-Hubbard model. For particle densities N/…

math-ph2015

Leaf-to-leaf distances in Catalan trees

Andrew M. Goldsborough, Jonathan M. Fellows, Matthew Bates +3

We study the average leaf-to-leaf path lengths on ordered Catalan tree graphs with nodes and show that these are equivalent to the average length of paths starting from the roo…

math-ph2014★ 3 cited

Leaf-to-leaf distances and their moments in finite and infinite m-ary tree graphs

Andrew M. Goldsborough, S. Alex Rautu, Rudolf A. Römer

We study the leaf-to-leaf distances on full and complete m-ary graphs using a recursive approach. In our formulation, leaves are ordered along a line. We find explicit analytical f…

cond-mat.dis-nn2014★ 31 cited

Self-assembling tensor networks and holography in disordered spin chains

Andrew M. Goldsborough, Rudolf A. Römer

We show that the numerical strong disorder renormalization group algorithm (SDRG) of Hikihara et. al. [Phys. Rev. B 60, 12116 (1999)] for the one-dimensional disordered Heisenberg…