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Here we discuss advances in the field of quantum machine learning.
“Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters”
Zahn, C. T · 1971
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Reversible Computing
Toffoli, T · 1980
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“Neural Networks and Physical Systems with Emergent Collective Computational Abilities.”
Hopfield, J. J · 1982
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“A Learning Algorithm for Boltzmann Machines*”
Ackley, D. H.; Hinton, G. E. & Sejnowski, T. J · 1985
Earlier work this paper cites.
“Clustering by Means of Medoids”
Kaufmann, L. & Rousseuw, P · 1987
Earlier work this paper cites.
“Neural Networks: A Review from a Statistical Perspective”
Cheng, B. & Titterington, D. M · 1994
Earlier work this paper cites.
“Quantum Bayesian Nets”
Tucci, R. R · 1995
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Neural Networks for Pattern Recognition
Bishop, C · 1995
Earlier work this paper cites.
“A Quantum Dot Neural Network”
Behrman, E.; Niemel, J.; Steck, J. & Skinner, S · 1996
Earlier work this paper cites.
“Quantum Cellular Neural Networks”
Toth, G. et al · 1996
Earlier work this paper cites.
“A Tutorial on Learning with Bayesian Networks” (1996)
Heckerman, D · 1996
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“A Quantum Algorithm for Finding the Minimum”
Durr, C. & Hoyer, P · 1996
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“Quantum Mechanics Helps in Searching for a Needle in a Haystack”
Grover, L · 1997
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“Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer”
Shor, P. W · 1997
Earlier work this paper cites.
“The Traveling Salesman Problem: A Case Study in Local Optimization”
Johnson, D. S. & McGeoch, L. A · 1997
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Artificial Intelligence: A New Synthesis
Nilsson, N · 1998
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“Simulating quantum systems on a quantum computer”
Zalka, C · 1998
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“A Spatial Quantum Neural Computer”
Behrman, E. C.; Steck, J. E. & Skinner, S. R · 1999
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“Separability of Very Noisy Mixed States and Implications for NMR Quantum Computing”
Braunstein, S. L. et al · 1999
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Market Segmentation: Conceptual and Methodological Foundations
Wedel, M. & Kamakura, W. A · 2000
Earlier work this paper cites.
“Learning Quantum Operators”
Ventura, D · 2000
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“Optically Simulating a Quantum Associative Memory”
Howell, J. C.; Yeazell, J. A. & Ventura, D · 2000
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“Simulations of Quantum Neural Networks”
Behrman, E.; Nash, L.; Steck, J.; Chandrashekar, V. & Skinner, S · 2000
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“A Global Geometric Framework for Nonlinear Dimensionality Reduction”
Tenenbaum, J. B.; de Silva, V. & Langford, J. C · 2000
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“Probabilistic Quantum Memories”
Trugenberger, C. A · 2001
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“A Quantum Neural Network Computes Entanglement”
Behrman, E. C. et al · 2002
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Principal Component Analysis
Jolliffe, I · 2002
Earlier work this paper cites.
“Local Realistic Model for the Dynamics of Bulk-Ensemble NMR Information Processing”
Menicucci, N. C. & Caves, C. M · 2002
Earlier work this paper cites.
“Creating Superpositions that Correspond to Efficiently Integrable Probability Distributions”
Grover, L. & Rudolph, T · 2002
Earlier work this paper cites.
“Training a Quantum Neural Network”
Ricks, B. & Ventura, D · 2004
Earlier work this paper cites.
“Quantum Query Complexity of Some Graph Problems”
Durr, C.; Heiligman, M. & Hoyer, P · 2004
Earlier work this paper cites.
“Quantum Networks for Generating Arbitrary Quantum States”
Kaye, P. & Mosca, M · 2004
Earlier work this paper cites.
Data Mining: Practical Machine Learning Tools and Techniques
Witten, I. H. & Frank, E · 2005
Cited alongside, same era.
“Machine Learning in a Quantum World”
Aïmeur, E.; Brassard, G. & Gambs, S · 2006
Cited alongside, same era.
Approaches to Analyse and Interpret Biological Profile Data
Scholz, M · 2006
Cited alongside, same era.
“Quantum M-P Neural Network”
Zhou, R. & Ding, Q · 2007
Cited alongside, same era.
“Bayesian Networks”
Ben-Gal, I.; Ruggeri, F.; Faltin, F. & Kenett, R · 2007
Cited alongside, same era.
“The Application of Hidden Markov Models in Speech Recognition”
Gales, M. & Young, S · 2007
Cited alongside, same era.
“Quantum Classification”
Gambs, S · 2008
“Robust Quantum Random Access Memory”
Hong, F.-Y.; Xiang, Y.; Zhu, Z.-Y.; Jiang, L.-z. & Wu, L.-n · 2012
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“A Quantum Neural Network Computes its own Relative Phase”
Behrman, E. C. & Steck, J. E · 2013
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“Quantum Algorithms for Supervised and Unsupervised Machine Learning”
Lloyd, S.; Mohseni, M. & Rebentrost, P · 2013
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“Autonomous Quantum Perceptron Neural Network”
Sagheer, A. & Zidan, M · 2013
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Quantum Machine Learning
Wittek, P · 2014
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“An Introduction to Quantum Machine Learning”
Schuld, M.; Sinayskiy, I. & Petruccione, F · 2014
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Cited alongside, same era.
“Quantum Algorithm Design Using Dynamic Learning”
Behrman, E. C.; Steck, J. E.; Kumar, P. & Walsh, K. A · 2008
Cited alongside, same era.
“Quantum Logical Neural Networks”
de Oliveira, W. R. et al · 2008
Cited alongside, same era.
“Image Recognition with an Adiabatic Quantum Computer: I. Mapping to Quadratic Unconstrained Binary Optimization”
Neven, H.; Rose, G. & Macready, W. G · 2008
Cited alongside, same era.
“Training a Binary Classifier with the Quantum Adiabatic Algorithm”
Neven, H.; Denchev, V. S.; Rose, G. & Macready, W. G · 2008
Cited alongside, same era.
“Quantum Random Access Memory”
Giovannetti, V.; Lloyd, S. & Maccone, L · 2008
Cited alongside, same era.
“Quantum Neural Networks: Current Status and Prospects for Development”
Altaisky, M. V.; Kaputkina, N. E. & Krylov, V. A · 2014
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“Quantum Walks on Graphs Representing the Firing Patterns of a Quantum Neural Network”
Schuld, M.; Sinayskiy, I. & Petruccione, F · 2014
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Quantum Computing for Pattern Classification, vol. 8862 of Lecture Notes in Computer Science
Schuld, M.; Sinayskiy, I. & Petruccione, F · 2014
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“Comments on “Quantum M-P Neural Network””
da Silva, A. J.; de Oliveira, W. R. & Ludermir, T. B · 2014
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“The Quest for a Quantum Neural Network”
Schuld, M.; Sinayskiy, I. & Petruccione, F · 2014
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“Quantum Deep Learning”
Wiebe, N.; Kapoor, A. & Svore, K. M · 2014
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“Selective Model Averaging with Bayesian Rule Learning for Predictive Biomedicine.”
Balasubramanian, J. B.; Visweswaran, S.; Cooper, G. F. & Gopalakrishnan, V · 2014
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“Quantum Principal Component Analysis”
Lloyd, S.; Mohseni, M. & Rebentrost, P · 2014
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“Quantum Support Vector Machine for Big Data Classification”
Rebentrost, P.; Mohseni, M. & Lloyd, S · 2014
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“Quantum Algorithms for Nearest-Neighbor Methods for Supervised and Unsupervised Learning”
Wiebe, N.; Kapoor, A. & Svore, K · 2014
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“Evidence for Quantum Annealing with more than One Hundred Qubits”
Boixo, S. et al · 2014
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“Entanglement in a Quantum Annealing Processor”
Lanting, T. et al · 2014
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“Defining and Detecting Quantum Speedup”
Ronnow, T. F. et al · 2014
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“Experimental Realization of Quantum Artificial Intelligence”
Zhaokai, L.; Xiaomei, L.; Nanyang, X. & Jiangfeng, D · 2014
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Quantum Algorithms for Linear Algebra and Machine Learning
Prakash, A · 2014
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“Read the Fine Print”
Aaronson, S · 2015
Closest in time.
“Simulating a Perceptron on a Quantum Computer”
Schuld, M.; Sinayskiy, I. & Petruccione, F · 2015
Closest in time.
“Deep Learning”
LeCun, Y.; Bengio, Y. & Hinton, G · 2015
Closest in time.
“Quantum Inspired Training for Boltzmann Machines”
Wiebe, N.; Kapoor, A.; Granade, C. & Svore, K. M · 2015
Closest in time.
“Hidden Quantum Markov Models and Open Quantum Systems with Instantaneous Feedback”
Clark, L · 2015
Closest in time.
“Quantum linear systems algorithm with exponentially improved dependence on precision”
Childs, A.; Kothari, R. & Somma, R · 2015
Closest in time.
“Reexamination of the Evidence for Entanglement in the D-Wave Processor”
Albash, T.; Hen, I.; Spedalieri, F. M. & Lidar, D. A · 2015
Closest in time.
“Entanglement-Based Machine Learning on a Quantum Computer”
Cai, X.-D. et al · 2015
Closest in time.
“Experimental Realization of a Quantum Support Vector Machine”
Li, Z.; Liu, X.; Xu, N. & Du, J · 2015
Closest in time.
“The Promise of Quantum Simulation”
Muller, R. P. & Blume-Kohout, R · 2015
Closest in time.
“On the Robustness of Bucket Brigade Quantum RAM”
Arunachalam, S.; Gheorghiu, V.; Jochym-O’Connor, T.; Mosca, M. & Srinivasan, P. V · 2015
Closest in time.