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Quantum information technologies, and intelligent learning systems, are both emergent technologies that will likely have a transforming impact on our society.
Adiabatic quantum optimization for associative memory recall
Hadayat Seddiqi and Travis S. Humble · 1904
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A logical calculus of the ideas immanent in nervous activity
Warren S. McCulloch and Walter Pitts · 1943
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Computing machinery and intelligence, 1950
A. M. Turing · 1950
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Bayesian network structure learning using quantum annealing
B. O’Gorman, R. Babbush, A. Perdomo-Ortiz, A. Aspuru-Guzik, and V. Smelyanskiy · 1951
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A PROPOSAL FOR THE DARTMOUTH SUMMER RESEARCH PROJECT ON ARTIFICIAL INTELLIGENCE
J. McCarthy, M. L. Minsky, N. Rochester, and C. E. Shannon · 1955
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The Perceptron, a Perceiving and Recognizing Automaton (Project Para)
F. Rosenblatt · 1957
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Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
T. M. Cover · 1965
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Quantum detection and estimation theory
Carl W. Helstrom · 1969
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A theory of the learnable
L. G. Valiant · 1972
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Computer science as empirical inquiry: Symbols and search
Allen Newell and Herbert A. Simon · 1976
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Computable and Uncomputable
Yuri Manin · 1980
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Simulating physics with computers
Richard Feynman · 1982
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Neural networks and physical systems with emergent collective computational abilities
J. J. Hopfield · 1982
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Probabilistic and statistical aspects of quantum theory
A.S. Holevo · 1982
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A single quantum cannot be cloned
W. K. Wootters and W. H. Zurek · 1982
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Some inequalities for reversible markov chains
David J. Aldous · 1982
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Quantum theory, the church-turing principle and the universal quantum computer
D. Deutsch · 1985
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“neural” computation of decisions in optimization problems
J. J. Hopfield and D. W. Tank · 1985
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Queries and concept learning
Dana Angluin · 1988
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Approximation by superpositions of a sigmoidal function
G. Cybenko · 1989
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The Emperor’s New Mind: Concerning Computers, Minds, and the Laws of Physics
Roger Penrose · 1989
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Elephants don’t play chess
Rodney A. Brooks · 1990
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The strength of weak learnability
Robert E. Schapire · 1990
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Approximation capabilities of multilayer feedforward networks
Kurt Hornik · 1991
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Technical note: Q-learning
Christopher J.C.H. Watkins and Peter Dayan · 1992
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Efficient distribution-free learning of probabilistic concepts
Michael J. Kearns and Robert E. Schapire · 1994
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Statistical distance and the geometry of quantum states
Samuel L. Braunstein and Carlton M. Caves · 1994
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Quantum perceptrons
M. Lewenstein · 1994
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Cryptographic limitations on learning boolean formulae and finite automata
Michael Kearns and Leslie Valiant · 1994
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The Nature of Statistical Learning Theory
Vladimir N. Vapnik · 1995
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Optimal quantum measurements for phase estimation
B. C. Sanders and G. J. Milburn · 1995
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Thermodynamic limit of density matrix renormalization
Stellan Östlund and Stefan Rommer · 1995
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On quantum neural computing
Subhash Kak · 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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A fast quantum mechanical algorithm for database search
Lov K. Grover · 1996
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The lack of a priori distinctions between learning algorithms
David H. Wolpert · 1996
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A Probabilistic Theory of Pattern Recognition
L. Devroye, L. Györfi, and G. Lugosi · 1996
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Quantum effects in neural networks
Hidetoshi Nishimori and Yoshihiko Nonomura · 1996
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A quantum dot neural network, 1996
E.C. Behrman, J. Niemel, J.E. Steck, and S.R. Skinner · 1996
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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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Increasing the capacity of a hopfield network without sacrificing functionality
Amos Storkey · 1997
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A decision-theoretic generalization of on-line learning and an application to boosting
Yoav Freund and Robert E Schapire · 1997
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Quantum-state estimation
Z. Hradil · 1997
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Quantum complexity theory
Ethan Bernstein and Umesh Vazirani · 1997
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A brief history of connectionism
David A. Medler · 1998
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Quantum computing
Andrew Steane · 1998
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Introduction to Reinforcement Learning
Richard S. Sutton and Andrew G. Barto · 1998
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Quantum optimally controlled transition landscapes
Herschel A. Rabitz, Michael M. Hsieh, and Carey M. Rosenthal · 1998
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Least squares support vector machine classifiers
J.A.K. Suykens and J. Vandewalle · 1999
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A Quantum Algorithm for Finding the Minimum, January 1999, quant-ph/9607014
Christoph Durr and Peter Hoyer · 1999
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Quantum games and quantum strategies
Jens Eisert, Martin Wilkens, and Maciej Lewenstein · 1999
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Quantum computation by adiabatic evolution, 2000, arXiv:quant-ph/0001106
Edward Farhi, Jeffrey Goldstone, Sam Gutmann, and Michael Sipser · 2000
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Optimal states and almost optimal adaptive measurements for quantum interferometry
D. W. Berry and H. M. Wiseman · 2000
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Importance of quantum decoherence in brain processes
Max Tegmark · 2000
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Neural networks as a basis for quantum associative networks
Mitja Peruš · 2000
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Quantum associative memory
Dan Ventura and Tony Martinez · 2000
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A one-way quantum computer
Robert Raussendorf and Hans J. Briegel · 2001
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Gradient flow in recurrent nets: the difficulty of learning long-term dependencies
S. Hochreiter, Y. Bengio, P. Frasconi, and J. Schmidhuber · 2001
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Reinforcement Learning by Policy Search
Leonid Peshkin · 2001
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Maximum-likelihood estimation of quantum processes
Jaromír Fiurášek and Zdeněk Hradil · 2001
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Maximum-likelihood estimation of quantum measurement
Jaromír Fiurášek · 2001
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Optimal input states and feedback for interferometric phase estimation
D. W. Berry, H. M. Wiseman, and J. K. Breslin · 2001
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Quantum template matching
Masahide Sasaki, Alberto Carlini, and Richard Jozsa · 2001
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Quantum lower bounds by polynomials
Robert Beals, Harry Buhrman, Richard Cleve, Michele Mosca, and Ronald de Wolf · 2001
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Probabilistic quantum memories
C. A. Trugenberger · 2001
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Quantum fingerprinting
Harry Buhrman, Richard Cleve, John Watrous, and Ronald de Wolf · 2001
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Quantum communication and complexity
Ronald de Wolf · 2002
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Topological quantum computation
Michael H. Freedman, Alexei Kitaev, Michael J. Larsen, and Zhenghan Wang · 2002
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Both toffoli and controlled-not need little help to do universal quantum computation, 2002, arXiv:quant-ph/0205115
Yaoyun Shi · 2002
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Quantum learning and universal quantum matching machine
Masahide Sasaki and Alberto Carlini · 2002
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Quantum random walks: An introductory overview
J Kempe · 2003
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Exponential algorithmic speedup by a quantum walk
Andrew M. Childs, Richard Cleve, Enrico Deotto, Edward Farhi, Sam Gutmann, and Daniel A. Spielman · 2003
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Rademacher and gaussian complexities: Risk bounds and structural results
Peter L. Bartlett and Shahar Mendelson · 2003
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On the Sample Complexity of Reinforcement Learning
Sham Kakade · 2003
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Quantum computing with an always-on heisenberg interaction
Simon C. Benjamin and Sougato Bose · 2003
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Predicting crystal structures with data mining of quantum calculations
Stefano Curtarolo, Dane Morgan, Kristin Persson, John Rodgers, and Gerbrand Ceder · 2003
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Comment on “probabilistic quantum memories”
T. Brun, H. Klauck, A. Nayak, M. Rötteler, and Ch. Zalka · 2003
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Trugenberger replies:
Carlo A. Trugenberger · 2003
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Quantum optimization for training support vector machines
Davide Anguita, Sandro Ridella, Fabio Rivieccio, and Rodolfo Zunino · 2003
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Pattern recognition on a quantum computer
Ralf Schützhold · 2003
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Spatial search by quantum walk
Andrew M. Childs and Jeffrey Goldstone · 2004
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Bayesian adaptive exploration
Thomas J. Loredo · 2004
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Renormalization algorithms for quantum-many body systems in two and higher dimensions, 2004, arXiv:cond-mat/0407066
F. Verstraete and J. I. Cirac · 2004
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Equivalences and separations between quantum and classical learnability
Rocco A. Servedio and Steven J. Gortler · 2004
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Quantum speed-up of markov chain based algorithms
M. Szegedy · 2004
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Universal Artificial Intellegence
Marcus Hutter · 2005
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Process reconstruction: From unphysical to physical maps via maximum likelihood
Mário Ziman, Martin Plesch, Vladimír Bužek, and Peter Štelmachovič · 2005
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Universal programmable quantum state discriminator that is optimal for unambiguously distinguishing between unknown states
János A. Bergou and Mark Hillery · 2005
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Quantum pure-state identification
A. Hayashi, M. Horibe, and T. Hashimoto · 2005
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Quantum Reinforcement Learning
Daoyi Dong, Chunlin Chen, and Zonghai Chen · 2005
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A polynomial quantum algorithm for approximating the jones polynomial
Dorit Aharonov, Vaughan Jones, and Zeph Landau · 2006
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Symbolic versus Subsymbolic
Chris Eliasmith and William Bechtel · 2006
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Unambiguous pure-state identification without classical knowledge
A. Hayashi, M. Horibe, and T. Hashimoto · 2006
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Machine Learning in a Quantum World
Esma Aïmeur, Gilles Brassard, and Sébastien Gambs · 2006
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Quantum learning for neural associative memories
G.G. Rigatos and S.G. Tzafestas · 2006
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Markov logic networks
Matthew Richardson and Pedro Domingos · 2006
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Svm versus least squares svm
Jieping Ye and Tao Xiong · 2007
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Development and Uses of Artificial Intelligence in Chemistry
Hugh Cartwright · 2007
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Quantum algorithms for learning and testing juntas
Alp Atıcı and Rocco A. Servedio · 2007
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Neurodynamics and attractors in quantum associative memories
G. G. Rigatos and S. G. Tzafestas · 2007
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The road to quantum artificial intelligence
Kyriakos N. Sgarbas · 2007
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Justifying and generalizing contrastive divergence
Yoshua Bengio and Olivier Delalleau · 2008
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Quantum learning machine, 2008, arXiv:0803.2976
Jeongho Bang, James Lim, M. S. Kim, and Jinhyoung Lee · 2008
Sample complexity of episodic fixed-horizon reinforcement learning
Christoph Dann and Emma Brunskill · 2015
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True precision limits in quantum metrology
Marcin Jarzyna and RafałÇ Demkowicz-Dobrzański · 2015
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High-fidelity single-shot toffoli gate via quantum control
Ehsan Zahedinejad, Joydip Ghosh, and Barry C. Sanders · 2015
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Adaptive quantum computation in changing environments using projective simulation
M. Tiersch, E. J. Ganahl, and H. J. Briegel · 2015
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Machine learning applications in genetics and genomics
Maxwell W. Libbrecht and William Stafford Noble · 2015
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Machine Learning in Medicine - a Complete Overview
Ton J. Cleophas and Aeilko H. Zwinderman · 2015
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Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems
F. Verstraete, V. Murg, and J.I. Cirac · 2008
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No-signaling bound on quantum state discrimination
Sarah Croke, Erika Andersson, and Stephen M. Barnett · 2008
Cited alongside, same era.
Quantum classification, 2008, arXiv:0809.0444
Sebastien Gambs · 2008
Cited alongside, same era.
Exponential separation of quantum and classical one-way communication complexity
Ziv Bar-Yossef, T. S. Jayram, and Iordanis Kerenidis · 2008
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Training a binary classifier with the quantum adiabatic algorithm, 2008, arXiv:0811.0416
Hartmut Neven, Vasil S. Denchev, Geordie Rose, and William G. Macready · 2008
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Quantum random access memory
Vittorio Giovannetti, Seth Lloyd, and Lorenzo Maccone · 2008
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Artificial intelligence called in to tackle LHC data deluge
Davide Castelvecchi · 2015
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Quantum learning of coherent states
Gael Sentís, Mădălin Guţă, and Gerardo Adesso · 2015
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Quantum learning robust against noise
Andrew W. Cross, Graeme Smith, and John A. Smolin · 2015
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Read the fine print
Scott Aaronson · 2015
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Probing for quantum speedup in spin-glass problems with planted solutions
Itay Hen, Joshua Job, Tameem Albash, Troels F. Rønnow, Matthias Troyer, and Daniel A. Lidar · 2015
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Totally corrective boosting with cardinality penalization, 2015, arXiv:1504.01446
Vasil S. Denchev, Nan Ding, Shin Matsushima, S. V. N. Vishwanathan, and Hartmut Neven · 2015
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Application of quantum annealing to training of deep neural networks, 2015, arXiv:1510.06356
Steven H. Adachi and Maxwell P. Henderson · 2015
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A quantum annealing architecture with all-to-all connectivity from local interactions
Wolfgang Lechner, Philipp Hauke, and Peter Zoller · 2015
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Can small quantum systems learn?, 2015, arXiv:1512.03145
Nathan Wiebe and Christopher Granade · 2015
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Hamiltonian simulation with nearly optimal dependence on all parameters
D. W. Berry, A. M. Childs, and R. Kothari · 2015
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Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning
Nathan Wiebe, Ashish Kapoor, and Krysta M. Svore · 2015
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Quantum assisted gaussian process regression, 2015, arXiv:1512.03929
Zhikuan Zhao, Jack K. Fitzsimons, and Joseph F. Fitzsimons · 2015
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Projective simulation for classical learning agents: A comprehensive investigation
Julian Mautner, Adi Makmal, Daniel Manzano, Markus Tiersch, and Hans J. Briegel · 2015
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Projective simulation with generalization
Alexey A. Melnikov, Adi Makmal, Vedran Dunjko, and Hans-J. Briegel · 2015
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Can artificial intelligence benefit from quantum computing?
Vicente Moret-Bonillo · 2015
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Coherent controlization using superconducting qubits
Nicolai Friis, Alexey A. Melnikov, Gerhard Kirchmair, and Hans J. Briegel · 2015
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Entanglement-based machine learning on a quantum computer
X.-D. Cai, D. Wu, Z.-E. Su, M.-C. Chen, X.-L. Wang, Li Li, N.-L. Liu, C.-Y. Lu, and J.-W. Pan · 2015
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Quantum machine learning, 2016, arXiv:1611.09347
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, and Seth Lloyd · 2016
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Simulated quantum annealing can be exponentially faster than classical simulated annealing
E. Crosson and A. W. Harrow · 2016
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Quantum speed-ups for semidefinite programming, 2016, arXiv:1609.05537
Fernando G. S. L. Brandao and Krysta Svore · 2016
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Separations in query complexity using cheat sheets
Scott Aaronson, Shalev Ben-David, and Robin Kothari · 2016
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Fast graph operations in quantum computation
Liming Zhao, Carlos A. Pérez-Delgado, and Joseph F. Fitzsimons · 2016
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Multiparty delegated quantum computing, 2016, arXiv:1606.09200
Elham Kashefi and Anna Pappa · 2016
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Characterizing quantum supremacy in near-term devices, 2016, arXiv:1608.00263
Sergio Boixo, Sergei V. Isakov, Vadim N. Smelyanskiy, Ryan Babbush, Nan Ding, Zhang Jiang, Michael J. Bremner, John M. Martinis, and Hartmut Neven · 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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The mythos of model interpretability
Z. C. Lipton · 2016
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The problem of induction
John Vickers · 2016
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Characterization of decohering quantum systems: Machine learning approach
Markku P. V. Stenberg, Oliver Köhn, and Frank K. Wilhelm · 2016
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Designing high-fidelity single-shot three-qubit gates: A machine-learning approach
Ehsan Zahedinejad, Joydip Ghosh, and Barry C. Sanders · 2016
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Quantum gate learning in qubit networks: Toffoli gate without time-dependent control
Leonardo Banchi, Nicola Pancotti, and Sougato Bose · 2016
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Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics
Pantita Palittapongarnpim, Peter Wittek, Ehsan Zahedinejad, and Barry C. Sanders · 2016
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Quantum machine learning with glow for episodic tasks and decision games, 2016, arXiv:1601.07358
Jens Clausen and Hans J. Briegel · 2016
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Estimation of coherent error sources from stabilizer measurements
Davide Orsucci, Markus Tiersch, and Hans J. Briegel · 2016
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Automated search for new quantum experiments
Mario Krenn, Mehul Malik, Robert Fickler, Radek Lapkiewicz, and Anton Zeilinger · 2016
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Discovering phase transitions with unsupervised learning
Lei Wang · 2016
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Machine learning phases of strongly correlated fermions, 2016, arXiv:1609.02552
Kelvin Ch’ng, Juan Carrasquilla, Roger G. Melko, and Ehsan Khatami · 2016
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Machine learning quantum phases of matter beyond the fermion sign problem, 2016, arXiv:1608.07848
Peter Broecker, Juan Carrasquilla, Roger G. Melko, and Simon Trebst · 2016
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The learnability of unknown quantum measurements
Hao-Chung Cheng, Min-Hsiu Hsieh, and Ping-Cheng Yeh · 2016
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Optimal quantum sample complexity of learning algorithms, 2016, arXiv:1607.00932
Srinivasan Arunachalam and Ronald de Wolf · 2016
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Exponential capacity of associative memories under quantum annealing recall, 2016, arXiv:1602
Siddhartha Santra, Omar Shehab, and Radhakrishnan Balu · 2016
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Quantum boltzmann machine, 2016, arXiv:1601.02036
Mohammad H. Amin, Evgeny Andriyash, Jason Rolfe, Bohdan Kulchytskyy, and Roger Melko · 2016
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Quantum algorithm for association rules mining
Chao-Hua Yu, Fei Gao, Qing-Le Wang, and Qiao-Yan Wen · 2016
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Quantum perceptron models, 2016, arXiv:1602.04799
Nathan Wiebe, Ashish Kapoor, and Krysta M Svore · 2016
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Hamiltonian simulation by qubitization, 2016, arXiv:1610.06546
Guang Hao Low and Isaac L. Chuang · 2016
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Prediction by linear regression on a quantum computer
Maria Schuld, Ilya Sinayskiy, and Francesco Petruccione · 2016
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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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Meta-learning within projective simulation
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Robotic playing for hierarchical complex skill learning
S. Hangl, E. Ugur, S. Szedmak, and J. Piater · 2016
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Reinforcement learning using quantum boltzmann machines, 2016, arXiv:1612.05695
Daniel Crawford, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, and Pooya Ronagh · 2016
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Quantum-enhanced machine learning
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A survey of quantum learning theory
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Active learning machine learns to create new quantum experiments, 2017, arXiv:1706.00868
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personal communication, 2017
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Inductive supervised quantum learning
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Stabiliser states are efficiently pac-learnable, 2017, arXiv:1705.00345
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Quantum machine learning over infinite dimensions
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Causal boxes: Quantum information-processing systems closed under composition
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Basic protocols in quantum reinforcement learning with superconducting circuits
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