Quantum classifier with tailored quantum kernel

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

A new quantum approach to binary classification

(2019) Giuseppe Sergioli et al.   PLoS One

Parallel quantum trajectories via forking for sampling without redundancy

(2019) Daniel Kyungdeock Park et al.   NEW JOURNAL OF PHYSICS

Quantum supremacy using a programmable superconducting processor

(2019) Frank Arute et al.   NATURE

Benchmarking an 11-qubit quantum computer

(2019) K. Wright et al.   Nature Communications

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

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

Implementing a distance-based classifier with a quantum interference circuit

(2017) M. Schuld et al.   EPL

Quantum machine learning

(2017) Jacob Biamonte et al.   NATURE

Error Mitigation for Short-Depth Quantum Circuits

(2017) Kristan Temme et al.   PHYSICAL REVIEW LETTERS

An introduction to quantum machine learning

(2014) Maria Schuld et al.   CONTEMPORARY PHYSICS

Quantum Support Vector Machine for Big Data Classification

(2014) Patrick Rebentrost et al.   PHYSICAL REVIEW LETTERS

Robust quantum random access memory

(2012) Fang-Yu Hong et al.   PHYSICAL REVIEW A

Quantum-state preparation with universal gate decompositions

(2011) Martin Plesch et al.   PHYSICAL REVIEW A

Kernel methods in machine learning

(2008) Thomas Hofmann et al.   ANNALS OF STATISTICS

Architectures for a quantum random access memory

(2008) Vittorio Giovannetti et al.   PHYSICAL REVIEW A

Quantum Random Access Memory

(2008) Vittorio Giovannetti et al.   PHYSICAL REVIEW LETTERS