Year  Title  Author 
2017

Machine Learning by TwoDimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures 
D Liu, SJ Ran, P Wittek, C Peng, RB García, G Su

2017

An efficient quantum algorithm for generative machine learning 
X Gao, Z Zhang, L Duan

2017

Quantum machine learning: a classical perspective 
C Ciliberto, M Herbster, AD Ialongo, M Pontil

2017

Quantum fields as deep learning 
JW Lee

2017

Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design 
Y Levine, D Yakira, N Cohen, A Shashua

2017

Deploying a quantum annealing processor to detect tree cover in aerial imagery of California 
E Boyda, S Basu, S Ganguly, A Michaelis

2017

Quantum neuromorphic hardware for quantum artificial intelligence 
E Prati

2017

Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities 
M Eickenberg, G Exarchakis, M Hirn, S Mallat

2017

Quantum Annealing Assisted Deep Learning for Lung Cancer Detection 
A Ward, N Bambos

2017

Machine learning technique to find quantum manybody ground states of bosons on a lattice 
H Saito, M Kato

2017

Machine Learning for Quantum Dynamics: Deep Learning of Excitation Energy Transfer Properties 
F Häse, C Kreisbeck, A Aspuru

2017

Deep Learning and Quantum Physics: A Fundamental Bridge 
Y Levine, D Yakira, N Cohen, A Shashua

2017

Deep quantum inspired neural network with application to aircraft fuel system fault diagnosis 
Z Gao, C Ma, D Song, Y Liu

2017

Opportunities and challenges for quantumassisted machine learning in nearterm quantum computers 
A Perdomo

2016

Quantum Boltzmann Machine 
MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko

2016

A study of complex deep learning networks on high performance, neuromorphic, and quantum computers 
TE Potok, CD Schuman, SR Young, RM Patton

2016

Deep Learning the Quantum Phase Transitions in Random Electron Systems: Applications to Three Dimensions 
T Ohtsuki, T Ohtsuki

2016

Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines 
D Korenkevych, Y Xue, Z Bian, F Chudak

2016

Harnessing disordered quantum dynamics for machine learning 
K Fujii, K Nakajima

2016

Malwares Classification Using Quantum Neural Network 
TT Anh

2016

Workshop on Theory and Practice of Adiabatic Quantum Computers and Quantum Simulation 
E Kapit, H Nishimori, V Oganesyan, S Pilati, G Santoro

2016

Deep Wavelet Scattering for Quantum Energy Regression 
M Hirn

2016

Deep Learning the Quantum Phase Transitions in Random Two Dimensional Electron Systems 
T Ohtsuki, T Ohtsuki

2016

Quantum gradient descent and Newton's method for constrained polynomial optimization 
P Rebentrost, M Schuld, F Petruccione, S Lloyd

2016

On the Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction 
P Sadowski, DR Fooshee, N Subrahmanya, P Baldi

2016

Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning 
M Benedetti, J Realpe

2016

Estimation of effective temperatures in a quantum annealer: Towards deep learning applications 
M Benedetti, A Perdomo

2015

Application of Quantum Annealing to Training of Deep Neural Networks 
SH Adachi, MP Henderson

2015

Quantum Energy Regression using Scattering Transforms 
M Hirn, N Poilvert, S Mallat

2015

Estimation of effective temperatures in a quantum annealer and its impact in sampling applications: A case study towards deep learning applications 
M Benedetti, J Realpe

2015

Systems And Methods For Quantum Processing Of Data 
G Rose, S Gildert, WG Macready, DC Walliman

2015

Advances in quantum machine learning 
J Adcock, E Allen, M Day, S Frick, J Hinchliff

2015

Majorana Zero Modes and Topological Quantum Computation 
SD Sarma, M Freedman, C Nayak

2014

An introduction to quantum machine learning 
M Schuld, I Sinayskiy, F Petruccione

2014

An Algorithm of Quantum Restricted Boltzmann Machine Network Based on Quantum Gates and Its Application 
P Zhang, S Li, Y Zhou

2014

Simulating a perceptron on a quantum computer 
M Schuld, I Sinayskiy, F Petruccione

2014

Quantum Deep Learning 
N Wiebe, A Kapoor, KM Svore
