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Machine learning and quantum computing are two technologies each with the potential for altering how computation is performed to address previously untenable problems.
A training algorithm for optimal margin classifiers
Boser, B. E., Guyon, I. M. & Vapnik, V. N · 1992
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A one-measurement form of simultaneous perturbation stochastic approximation
Spall, J. C · 1997
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A tutorial on support vector machines for pattern recognition
Burges, C. J · 1998
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Adaptive stochastic approximation by the simultaneous perturbation method
Spall, J. C · 2000
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Quantum fingerprinting
Buhrman, H., Cleve, R., Watrous, J. & De Wolf, R · 2001
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Adaptive quantum computation, constant depth quantum circuits and arthur-merlin games
Terhal, B. M. & DiVincenzo, D. P · 2004
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Quantum algorithms for some hidden shift problems
Van Dam, W., Hallgren, S. & Ip, L · 2006
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Introduction to quantum control and dynamics (CRC press, 2007)
d’Alessandro, D · 2007
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Fully microwave-tunable universal gates in superconducting qubits with linear couplings and fixed transition frequencies
Rigetti, C. & Devoret, M · 2010
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Quantum algorithms for highly non-linear boolean functions
Rötteler, M · 2010
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Analog information processing at the quantum limit with a josephson ring modulator
Bergeal, N. et al · 2010
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Efficient method for computing the maximum-likelihood quantum state from measurements with additive gaussian noise
Smolin, J. A., Gambetta, J. M. & Smith, G · 2012
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Characterization of addressability by simultaneous randomized benchmarking
Gambetta, J. M. et al · 2012
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The nature of statistical learning theory (Springer science & business media, 2013)
Vapnik, V · 2013
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Process verification of two-qubit quantum gates by randomized benchmarking
Córcoles, A. D. et al · 2013
Cited alongside, same era.
Quantum support vector machine for big data classification
Rebentrost, P., Mohseni, M. & Lloyd, S · 2014
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An introduction to matrix concentration inequalities
Tropp, J. A. et al · 2015
Cited alongside, same era.
Quantum generalisation of feedforward neural networks
Wan, K. H., Dahlsten, O., Kristjánsson, H., Gardner, R. & Kim, M · 2016
Cited alongside, same era.
Supervised learning with tensor networks
Stoudenmire, E. & Schwab, D. J · 2016
Cited alongside, same era.
Average-case complexity versus approximate simulation of commuting quantum computations
Bremner, M. J., Montanaro, A. & Shepherd, D. J · 2016
Quantum algorithms for fixed qubit architectures
Farhi, E., Goldstone, J., Gutmann, S. & Neven, H · 2017
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The complexity of approximating complex-valued ising and tutte partition functions
Goldberg, L. A. & Guo, H · 2017
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Efficient z gates for quantum computing
McKay, D. C., Wood, C. J., Sheldon, S., Chow, J. M. & Gambetta, J. M · 2017
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Mitarai, K., Negoro, M., Kitagawa, M. & Fujii, K · 2018
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Classification with quantum neural networks on near term processors
Farhi, E. & Neven, H · 2018
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Cited alongside, same era.
Procedure for systematically tuning up cross-talk in the cross-resonance gate
Sheldon, S., Magesan, E., Chow, J. M. & Gambetta, J. M · 2016
Cited alongside, same era.
Guest column: a survey of quantum learning theory
Arunachalam, S. & de Wolf, R · 2017
Cited alongside, same era.
Quantum machine learning
Biamonte, J. et al · 2017
Cited alongside, same era.
Quantum autoencoders for efficient compression of quantum data
Romero, J., Olson, J. P. & Aspuru-Guzik, A · 2017
Cited alongside, same era.
Error mitigation for short-depth quantum circuits
Temme, K., Bravyi, S. & Gambetta, J. M · 2017
Cited alongside, same era.
Efficient variational quantum simulator incorporating active error minimization
Li, Y. & Benjamin, S. C · 2017
Cited alongside, same era.
Preskill, J · 2018
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Quantum machine learning: a classical perspective
Ciliberto, C. et al · 2018
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Machine learning & artificial intelligence in the quantum domain: a review of recent progress
Dunjko, V. & Briegel, H. J · 2018
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Classical verification of quantum circuits containing few basis changes
Demarie, T. F., Ouyang, Y. & Fitzsimons, J. F · 2018
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Extending the computational reach of a noisy superconducting quantum processor
Kandala, A. et al · 2018
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Learning the quantum algorithm for state overlap
Cincio, L., Subaşı, Y., Sornborger, A. T. & Coles, P. J · 2018
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Quantum machine learning in feature hilbert spaces
Schuld, M. & Killoran, N · 2018
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Circuit-centric quantum classifiers
Schuld, M., Bocharov, A., Svore, K. & Wiebe, N · 2018
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