Quantum federated learning through blind quantum computing

Improved protein structure prediction using potentials from deep learning

(2020) Andrew W. Senior et al.   NATURE

Quantum generative adversarial learning in a superconducting quantum circuit

(2019) Ling Hu et al.   Science Advances

Machine learning meets quantum physics

(2019) Sankar Das Sarma et al.   PHYSICS TODAY

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

Quantum convolutional neural networks

(2019) Iris Cong et al.   Nature Physics

Quantum supremacy using a programmable superconducting processor

(2019) Frank Arute et al.   NATURE

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

Machine learning & artificial intelligence in the quantum domain: a review of recent progress

(2018) Vedran Dunjko et al.   REPORTS ON PROGRESS IN PHYSICS

Adequacy of Si:P chains as Fermi–Hubbard simulators

(2018) Amintor Dusko et al.   npj Quantum Information

Quantum Generative Adversarial Learning

(2018) Seth Lloyd et al.   PHYSICAL REVIEW LETTERS

A quantum machine learning algorithm based on generative models

(2018) X. Gao et al.   Science Advances

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Quantum machine learning

(2017) Jacob Biamonte et al.   NATURE

Hybrid Quantum-Classical Approach to Quantum Optimal Control

(2017) Jun Li et al.   PHYSICAL REVIEW LETTERS

Experimental Blind Quantum Computing for a Classical Client

(2017) He-Liang Huang et al.   PHYSICAL REVIEW LETTERS

Distributed secure quantum machine learning

(2017) Yu-Bo Sheng et al.   Science Bulletin

Suppression of photon shot noise dephasing in a tunable coupling superconducting qubit

(2017) Gengyan Zhang et al.   npj Quantum Information

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Deterministic entanglement distillation for secure double-server blind quantum computation

(2015) Yu-Bo Sheng et al.   Scientific Reports

Quantum principal component analysis

(2014) Seth Lloyd et al.   Nature Physics

Quantum Support Vector Machine for Big Data Classification

(2014) Patrick Rebentrost et al.   PHYSICAL REVIEW LETTERS

Bounds on the sample complexity for private learning and private data release

(2013) Amos Beimel et al.   MACHINE LEARNING

Secure Entanglement Distillation for Double-Server Blind Quantum Computation

(2013) Tomoyuki Morimae et al.   PHYSICAL REVIEW LETTERS

Efficient Universal Blind Quantum Computation

(2013) Vittorio Giovannetti et al.   PHYSICAL REVIEW LETTERS

Demonstration of Blind Quantum Computing

(2012) S. Barz et al.   SCIENCE

Quantum Algorithm for Linear Systems of Equations

(2009) Aram W. Harrow et al.   PHYSICAL REVIEW LETTERS