Parameterized quantum circuits as machine learning models

Experimental learning of quantum states

(2019) Andrea Rocchetto et al.   Science Advances

Quantum generative adversarial learning in a superconducting quantum circuit

(2019) Ling Hu et al.   Science Advances

An artificial neuron implemented on an actual quantum processor

(2019) Francesco Tacchino et al.   npj Quantum Information

A high-bias, low-variance introduction to Machine Learning for physicists

(2019) Pankaj Mehta et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Quantum Machine Learning in Feature Hilbert Spaces

(2019) Maria Schuld et al.   PHYSICAL REVIEW LETTERS

Supervised learning with quantum-enhanced feature spaces

(2019) Vojtěch Havlíček et al.   NATURE

Adversarial quantum circuit learning for pure state approximation

(2019) Marcello Benedetti et al.   NEW JOURNAL OF PHYSICS

Accelerated Variational Quantum Eigensolver

(2019) Daochen Wang et al.   PHYSICAL REVIEW LETTERS

A generative modeling approach for benchmarking and training shallow quantum circuits

(2019) Marcello Benedetti et al.   npj Quantum Information

Machine learning by unitary tensor network of hierarchical tree structure

(2019) Ding Liu et al.   NEW JOURNAL OF PHYSICS

QAOA for Max-Cut requires hundreds of qubits for quantum speed-up

(2019) G. G. Guerreschi et al.   Scientific Reports

Variational quantum state diagonalization

(2019) Ryan LaRose et al.   npj Quantum Information

Training of quantum circuits on a hybrid quantum computer

(2019) D. Zhu et al.   Science Advances

Unsupervised Generative Modeling Using Matrix Product States

(2018) Zhao-Yu Han et al.   Physical Review X

Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines

(2018) Song Cheng et al.   Entropy

Quantum Generative Adversarial Learning

(2018) Seth Lloyd et al.   PHYSICAL REVIEW LETTERS

Learning the quantum algorithm for state overlap

(2018) Lukasz Cincio et al.   NEW JOURNAL OF PHYSICS

Open source software in quantum computing

(2018) Mark Fingerhuth et al.   PLoS One

Barren plateaus in quantum neural network training landscapes

(2018) Jarrod R. McClean et al.   Nature Communications

Hierarchical quantum classifiers

(2018) Edward Grant et al.   npj Quantum Information

Implementing a distance-based classifier with a quantum interference circuit

(2017) M. Schuld et al.   EPL

Why Does Deep and Cheap Learning Work So Well?

(2017) Henry W. Lin et al.   JOURNAL OF STATISTICAL PHYSICS

Commercialize quantum technologies in five years

(2017) Masoud Mohseni et al.   NATURE

Quantum computational supremacy

(2017) Aram W. Harrow et al.   NATURE

Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets

(2017) Abhinav Kandala et al.   NATURE

Hybrid Quantum-Classical Approach to Quantum Optimal Control

(2017) Jun Li et al.   PHYSICAL REVIEW LETTERS

Quantum sampling problems, BosonSampling and quantum supremacy

(2017) A. P. Lund et al.   npj Quantum Information

Demonstration of quantum advantage in machine learning

(2017) Diego Ristè et al.   npj Quantum Information

Scalable Quantum Simulation of Molecular Energies

(2016) P. J. J. O’Malley et al.   Physical Review X

Quantum inference on Bayesian networks

(2014) Guang Hao Low et al.   PHYSICAL REVIEW A

Quantum Support Vector Machine for Big Data Classification

(2014) Patrick Rebentrost et al.   PHYSICAL REVIEW LETTERS

The quest for a Quantum Neural Network

(2014) Maria Schuld et al.   Quantum Information Processing

A variational eigenvalue solver on a photonic quantum processor

(2014) Alberto Peruzzo et al.   Nature Communications

swap test and Hong-Ou-Mandel effect are equivalent

(2013) Juan Carlos Garcia-Escartin et al.   PHYSICAL REVIEW A

Quantum learning by measurement and feedback

(2009) S Gammelmark et al.   NEW JOURNAL OF PHYSICS

The quantum internet

(2008) H. J. Kimble   NATURE