- Home
- Publications
- Publication Search
- Publication Details
Title
Quantum machine learning
Authors
Keywords
-
Journal
NATURE
Volume 549, Issue 7671, Pages 195-202
Publisher
Springer Nature
Online
2017-09-13
DOI
10.1038/nature23474
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Machine learning phases of matter
- (2017) Juan Carrasquilla et al. Nature Physics
- Quantum Machine Learning over Infinite Dimensions
- (2017) Hoi-Kwan Lau et al. PHYSICAL REVIEW LETTERS
- Inductive Supervised Quantum Learning
- (2017) Alex Monràs et al. PHYSICAL REVIEW LETTERS
- Concrete resource analysis of the quantum linear-system algorithm used to compute the electromagnetic scattering cross section of a 2D target
- (2017) Artur Scherer et al. Quantum Information Processing
- Solving the quantum many-body problem with artificial neural networks
- (2017) Giuseppe Carleo et al. SCIENCE
- Prediction and real-time compensation of qubit decoherence via machine learning
- (2017) Sandeep Mavadia et al. Nature Communications
- Quantum Enhanced Inference in Markov Logic Networks
- (2017) Peter Wittek et al. Scientific Reports
- Basic protocols in quantum reinforcement learning with superconducting circuits
- (2017) Lucas Lamata Scientific Reports
- Adiabatic and Hamiltonian computing on a 2D lattice with simple two-qubit interactions
- (2016) Seth Lloyd et al. NEW JOURNAL OF PHYSICS
- Quantum Change Point
- (2016) Gael Sentís et al. PHYSICAL REVIEW LETTERS
- Genetic Algorithms for Digital Quantum Simulations
- (2016) U. Las Heras et al. PHYSICAL REVIEW LETTERS
- Quantum-Enhanced Machine Learning
- (2016) Vedran Dunjko et al. PHYSICAL REVIEW LETTERS
- Quantum algorithms for topological and geometric analysis of data
- (2016) Seth Lloyd et al. Nature Communications
- Designing High-Fidelity Single-Shot Three-Qubit Gates: A Machine-Learning Approach
- (2016) Ehsan Zahedinejad et al. Physical Review Applied
- Quantum gate learning in qubit networks: Toffoli gate without time-dependent control
- (2016) Leonardo Banchi et al. npj Quantum Information
- Bayesian network structure learning using quantum annealing
- (2015) B. O’Gorman et al. European Physical Journal-Special Topics
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Read the fine print
- (2015) Scott Aaronson Nature Physics
- On the robustness of bucket brigade quantum RAM
- (2015) Srinivasan Arunachalam et al. NEW JOURNAL OF PHYSICS
- Quantum bootstrapping via compressed quantum Hamiltonian learning
- (2015) Nathan Wiebe et al. NEW JOURNAL OF PHYSICS
- Quantum-enhanced deliberation of learning agents using trapped ions
- (2015) V Dunjko et al. NEW JOURNAL OF PHYSICS
- High-Fidelity Single-Shot Toffoli Gate via Quantum Control
- (2015) Ehsan Zahedinejad et al. PHYSICAL REVIEW LETTERS
- 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
- Adaptive quantum computation in changing environments using projective simulation
- (2015) M. Tiersch et al. Scientific Reports
- A coherent perceptron for all-optical learning
- (2015) Nikolas Tezak et al. EPJ Quantum Technology
- Quantum learning of coherent states
- (2015) Gael Sentís et al. EPJ Quantum Technology
- An introduction to quantum machine learning
- (2014) Maria Schuld et al. CONTEMPORARY PHYSICS
- Quantum principal component analysis
- (2014) Seth Lloyd et al. Nature Physics
- Quantum inference on Bayesian networks
- (2014) Guang Hao Low et al. PHYSICAL REVIEW A
- Hamiltonian Learning and Certification Using Quantum Resources
- (2014) Nathan Wiebe et al. PHYSICAL REVIEW LETTERS
- Quantum Support Vector Machine for Big Data Classification
- (2014) Patrick Rebentrost et al. PHYSICAL REVIEW LETTERS
- Defining and detecting quantum speedup
- (2014) T. F. Ronnow et al. SCIENCE
- High-fidelity spin entanglement using optimal control
- (2014) Florian Dolde et al. Nature Communications
- Preconditioned Quantum Linear System Algorithm
- (2013) B. D. Clader et al. PHYSICAL REVIEW LETTERS
- Differential Evolution for Many-Particle Adaptive Quantum Metrology
- (2013) Neil B. Lovett et al. PHYSICAL REVIEW LETTERS
- Parallel photonic information processing at gigabyte per second data rates using transient states
- (2013) Daniel Brunner et al. Nature Communications
- Ground-state spin logic
- (2012) J. D. Whitfield et al. EPL
- Robust online Hamiltonian learning
- (2012) Christopher E Granade et al. NEW JOURNAL OF PHYSICS
- Quantum Algorithm for Data Fitting
- (2012) Nathan Wiebe et al. PHYSICAL REVIEW LETTERS
- A quantum-quantum Metropolis algorithm
- (2012) M.-H. Yung et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Quantum learning without quantum memory
- (2012) G. Sentís et al. Scientific Reports
- Quantum Metropolis sampling
- (2011) K. Temme et al. NATURE
- Quantum learning algorithms for quantum measurements
- (2011) Alessandro Bisio et al. PHYSICS LETTERS A
- Investigating the performance of an adiabatic quantum optimization processor
- (2011) Kamran Karimi et al. Quantum Information Processing
- Optimal quantum learning of a unitary transformation
- (2010) Alessandro Bisio et al. PHYSICAL REVIEW A
- Machine Learning for Precise Quantum Measurement
- (2010) Alexander Hentschel et al. PHYSICAL REVIEW LETTERS
- Quantum Algorithm for Linear Systems of Equations
- (2009) Aram W. Harrow et al. PHYSICAL REVIEW LETTERS
- Realizable Hamiltonians for universal adiabatic quantum computers
- (2008) Jacob D. Biamonte et al. PHYSICAL REVIEW A
- Quantum Random Access Memory
- (2008) Vittorio Giovannetti et al. PHYSICAL REVIEW LETTERS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started