activity
20182022
most citedUsing hyper-optimized tensor networks and first-principles electronic structure to simulate experimental properties of the giant {Mn84} torus

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

physics.chem-ph20223 cited

Using hyper-optimized tensor networks and first-principles electronic structure to simulate experimental properties of the giant {Mn84} torus

Dian-Teng Chen, Phillip Helms, Ashlyn R. Hale +7

The single-molecule magnet {Mn84} is a challenge to theory due to its high nuclearity. Building on our prior work which characterized the structure of the spectrum of this magnet,…

quant-ph2020

Quantum Delocalised-Interactions

A. J. Paige, Hyukjoon Kwon, Selwyn Simsek +3

Classical mechanics obeys the intuitive logic that a physical event happens at a definite spatial point. Entanglement however, breaks this logic by enabling interactions without a…

quant-ph2020

Hyper-optimized tensor network contraction

Johnnie Gray, Stefanos Kourtis

Tensor networks represent the state-of-the-art in computational methods across many disciplines, including the classical simulation of quantum many-body systems and quantum circuit…

cond-mat.dis-nn2019

Scale Invariant Entanglement Negativity at the Many-Body Localization Transition

Johnnie Gray, Abolfazl Bayat, Arijeet Pal +1

The exact nature of the many-body localization transition remains an open question. An aspect which has been posited in various studies is the emergence of scale invariance around…

quant-ph2018

Fast Computation of Many-Body Entanglement

Johnnie Gray

Mixed state entanglement measures can act as a versatile probes of many-body systems. However, they are generally hard to compute, often relying on tricky optimizations. One measur…