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Quantum computers can offer dramatic improvements over classical devices for data analysis tasks such as prediction and classification.
The Nature of Statistical Learning Theory
Vladimir N. Vapnik · 1995
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Learning DNF over the uniform distribution using a quantum example oracle
Nader H. Bshouty and Jeffrey C. Jackson · 1995
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On the power of quantum computation
Simon, D.R · 1996
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Quantum Mechanics Helps in Searching for a Needle in a Haystack
Lov K. Grover · 1997
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Quantum complexity theory
Ethan Bernstein and Umesh Vazirani · 1997
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Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
Peter W. Shor · 1997
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An exact quantum polynomial-time algorithm for Simon’s problem
G. Brassard and P. Hoyer · 1997
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Introduction to Reinforcement Learning
Richard S. Sutton and Andrew G. Barto · 1998
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Artificial Intelligence: A Modern Approach
Stuart Russell and Peter Norvig · 1998
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Quantum Lower Bounds by Polynomials
R. Beals, H. Buhrman, R. Cleve, M. Mosca and R. de Wolf · 2001
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Equivalences and separations between quantum and classical learnability
Rocco A. Servedio and Steven J. Gortler · 2004
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Superpolynomial Speedups Based on Almost Any Quantum Circuit
Sean Hallgren and Aram W. Harrow · 2008
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Span-program-based quantum algorithm for evaluating formulas
B. Reichardt and R. Špalek, · 2008
Cited alongside, same era.
Impossibility of a quantum speed-up with a faulty oracle
O. Regev, L. Schiff · 2008
Cited alongside, same era.
Projective simulation for artificial intelligence
Hans J. Briegel and Gemma De las Cuevas · 2012
Cited alongside, same era.
Super-polynomial quantum speed-ups for boolean evaluation trees with hidden structure
Bohua Zhan, Shelby Kimmel and Avinatan Hassidim · 2012
Cited alongside, same era.
Quantum speed-up for unsupervised learning
Esma Aïmeur, Gilles Brassard, and Sébastien Gambs · 2013
Cited alongside, same era.
Quantum support vector machine for big data classification
Patrick Rebentrost, Masoud Mohseni, and Seth Lloyd · 2014
Cited alongside, same era.
Framework for learning agents in quantum environments (2015)
Vedran Dunjko, Jacob M. Taylor, and Hans J. Briegel · 2015
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Quantum algorithms for topological and geometric analysis of data
Seth Lloyd, Silvano Garnerone, and Paolo Zanardi · 2016
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, and Demis Hassabis · 2016
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Reinforcement learning using quantum Boltzmann machines (2016)
Daniel Crawford, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, and Pooya Ronagh · 2016
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Quantum-enhanced machine learning
Vedran Dunjko, Jacob M. Taylor, and Hans J. Briegel · 2016
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Quantum speedup for active learning agents
Giuseppe Davide Paparo, Vedran Dunjko, Adi Makmal, Miguel Angel Martin-Delgado, and Hans J. Briegel · 2014
Cited alongside, same era.
Quantum partially observable Markov decision processes
Barry, J., Barry, D. T. and Aaronson, S · 2014
Cited alongside, same era.
Uselessness for an oracle model with internal randomness
A. W. Harrow, D. J. Rosenbaum · 2014
Cited alongside, same era.
Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning
Nathan Wiebe, Ashish Kapoor, and Krysta M. Svore · 2015
Cited alongside, same era.
Quantum assisted gaussian process regression (2015),
Zhikuan Zhao, Jack K. Fitzsimons, and Joseph F. Fitzsimons · 2015
Cited alongside, same era.
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Robotic playing for hierarchical complex skill learning
Simon Hangl and Emre Ugur and Sandor Szedmak and Justus Piater · 2016
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Quantum Machine Learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe and Seth Lloyd · 2017
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A survey of quantum learning theory (2017)
Srinivasan Arunachalam and Ronald de Wolf · 2017
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Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis · 2017
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Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017)
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis · 2017
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Machine learning & artificial intelligence in the quantum domain: a review of recent progress
Vedran Dunjko and Hans J. Briegel · 2018
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