papers
Publications (9)
quant-ph2019
Adversarial quantum circuit learning for pure state approximation
Marcello Benedetti, Edward Grant, Leonard Wossnig +1
cs.NE2018
Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz
Andrew Hallam, Edward Grant, Vid Stojevic +2
quant-ph2019
Modelling Non-Markovian Quantum Processes with Recurrent Neural Networks
Leonardo Banchi, Edward Grant, Andrea Rocchetto +1
quant-ph2018
Learning hard quantum distributions with variational autoencoders
Andrea Rocchetto, Edward Grant, Sergii Strelchuk +2
physics.plasm-ph2018
Possible many-body localization in a long-lived finite-temperature ultracold quasi-neutral molecular plasma
John Sous, Edward Grant
cs.CV2016
Predicting and visualizing psychological attributions with a deep neural network
Edward Grant, Stephan Sahm, Mariam Zabihi +1
quant-ph2018
Hierarchical quantum classifiers
Edward Grant, Marcello Benedetti, Shuxiang Cao +5
cs.CV2016
Deep disentangled representations for volumetric reconstruction
Edward Grant, Pushmeet Kohli, Marcel van Gerven
cond-mat.quant-gas2019
Many-body physics with ultracold plasmas: Quenched randomness and localization
John Sous, Edward Grant