Multiqubit and multilevel quantum reinforcement learning with quantum technologies

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

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

Quantum machine learning

(2017) Jacob Biamonte et al.   NATURE

Quantum information processing with superconducting circuits: a review

(2017) G Wendin   REPORTS ON PROGRESS IN PHYSICS

Quantum Memristors with Superconducting Circuits

(2017) J. Salmilehto et al.   Scientific Reports

Basic protocols in quantum reinforcement learning with superconducting circuits

(2017) Lucas Lamata   Scientific Reports

Supervised Quantum Learning without Measurements

(2017) Unai Alvarez-Rodriguez et al.   Scientific Reports

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

(2016) David Silver et al.   NATURE

Digitized adiabatic quantum computing with a superconducting circuit

(2016) R. Barends et al.   NATURE

Quantum-Enhanced Machine Learning

(2016) Vedran Dunjko et al.   PHYSICAL REVIEW LETTERS

High-Fidelity Trapped-Ion Quantum Logic Using Near-Field Microwaves

(2016) T. P. Harty et al.   PHYSICAL REVIEW LETTERS

High-Fidelity Universal Gate Set forBe9+Ion Qubits

(2016) J. P. Gaebler et al.   PHYSICAL REVIEW LETTERS

High-Fidelity Quantum Logic Gates Using Trapped-Ion Hyperfine Qubits

(2016) C. J. Ballance et al.   PHYSICAL REVIEW LETTERS

Qubit-Based Memcapacitors and Meminductors

(2016) Sergey N. Shevchenko et al.   Physical Review Applied

Quantum memristors

(2016) P. Pfeiffer et al.   Scientific Reports

Entanglement-Based Machine Learning on a Quantum Computer

(2015) X.-D. Cai et al.   PHYSICAL REVIEW LETTERS

Experimental Realization of a Quantum Support Vector Machine

(2015) Zhaokai Li et al.   PHYSICAL REVIEW LETTERS

Coherent controlization using superconducting qubits

(2015) Nicolai Friis et al.   Scientific Reports

An introduction to quantum machine learning

(2014) Maria Schuld et al.   CONTEMPORARY PHYSICS

Superconducting quantum circuits at the surface code threshold for fault tolerance

(2014) R. Barends et al.   NATURE

Quantum Support Vector Machine for Big Data Classification

(2014) Patrick Rebentrost et al.   PHYSICAL REVIEW LETTERS

High-Fidelity Preparation, Gates, Memory, and Readout of a Trapped-Ion Quantum Bit

(2014) T. P. Harty et al.   PHYSICAL REVIEW LETTERS

High speed, high fidelity detection of an atomic hyperfine qubit

(2013) Rachel Noek et al.   OPTICS LETTERS

Coherent Josephson Qubit Suitable for Scalable Quantum Integrated Circuits

(2013) R. Barends et al.   PHYSICAL REVIEW LETTERS

Quantum speed-up for unsupervised learning

(2012) Esma Aïmeur et al.   MACHINE LEARNING

Feedback Control of a Solid-State Qubit Using High-Fidelity Projective Measurement

(2012) D. Ristè et al.   PHYSICAL REVIEW LETTERS

Single-qubit-gate error below10−4in a trapped ion

(2011) K. R. Brown et al.   PHYSICAL REVIEW A

Observation of High Coherence in Josephson Junction Qubits Measured in a Three-Dimensional Circuit QED Architecture

(2011) Hanhee Paik et al.   PHYSICAL REVIEW LETTERS

Quantum Reinforcement Learning

(2008) Daoyi Dong et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Superconducting quantum bits

(2008) John Clarke et al.   NATURE

Towards fault-tolerant quantum computing with trapped ions

(2008) Jan Benhelm et al.   Nature Physics

High-Fidelity Readout of Trapped-Ion Qubits

(2008) A. H. Myerson et al.   PHYSICAL REVIEW LETTERS

Quantum computing with trapped ions

(2008) H HAFFNER et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS