3 papers
quant-ph2020
Branching Quantum Convolutional Neural Networks
Ian MacCormack, Conor Delaney, Alexey Galda +2
Neural network-based algorithms have garnered considerable attention in condensed matter physics for their ability to learn complex patterns from very high dimensional data sets to…
hep-th2020
Geometry and Complexity of Path Integrals in Inhomogeneous CFTs
Pawel Caputa, Ian MacCormack
In this work we develop the path integral optimization in a class of inhomogeneous 2d CFTs constructed by putting an ordinary CFT on a space with a position dependent metric. After…
cond-mat.str-el2018
Holographic Duals of Inhomogeneous Systems: The Rainbow Chain and the Sine-Square Deformation Model
Ian MacCormack, Aike Liu, Masahiro Nozaki +1
A holographic dual description of inhomogeneous systems is discussed. Notably, finite temperature results for the entanglement entropy in both the rainbow chain and the SSD model a…