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Noise in quantum information processing is often viewed as a disruptive and difficult-to-avoid feature, especially in near-term quantum technologies.
The use of multiple measurements in taxonomic problems
Ronald A Fisher · 1936
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Picture coding using pseudo-random noise
Lawrence Roberts · 1962
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Effects of noise on convergence and generalization in recurrent networks
Kam Jim, Bill G Horne, and C Lee Giles · 1995
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Stochastic resonance
Luca Gammaitoni, Peter Hänggi, Peter Jung, and Fabio Marchesoni · 1998
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Transformation of quantum states using uniformly controlled rotations
Mikko Mottonen, Juha J Vartiainen, Ville Bergholm, and Martti M Salomaa · 2004
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Quantum computation and quantum information
Michael A Nielsen and Isaac L Chuang · 2010
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Differential privacy
Cynthia Dwork · 2011
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Adversarial machine learning
Ling Huang, Anthony D Joseph, Blaine Nelson, Benjamin IP Rubinstein, and J Doug Tygar · 2011
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Quantum-state preparation with universal gate decompositions
Martin Plesch and Časlav Brukner · 2011
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Deep learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
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Adversarial machine learning at scale
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2016
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Delving into transferable adversarial examples and black-box attacks
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song · 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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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
Cited alongside, same era.
Implementing a distance-based classifier with a quantum interference circuit
Maria Schuld, Mark Fingerhuth, and Francesco Petruccione · 2017
Cited alongside, same era.
Error mitigation for short-depth quantum circuits
Kristan Temme, Sergey Bravyi, and Jay M Gambetta · 2017
Cited alongside, same era.
Differential privacy in quantum computation
Li Zhou and Mingsheng Ying · 2017
Cited alongside, same era.
Quantum generative adversarial networks
Pierre-Luc Dallaire-Demers and Nathan Killoran · 2018
Cited alongside, same era.
Boosting adversarial attacks with momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li · 2018
Hardening quantum machine learning against adversaries
Nathan Wiebe and Ram Shankar Siva Kumar · 2018
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Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong and Zico Kolter · 2018
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Gentle measurement of quantum states and differential privacy
Scott Aaronson and Guy N Rothblum · 2019
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A generative modeling approach for benchmarking and training shallow quantum circuits
Marcello Benedetti, Delfina Garcia-Pintos, Oscar Perdomo, Vicente Leyton-Ortega, Yunseong Nam, and Alejandro Perdomo-Ortiz · 2019
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Parameterized quantum circuits as machine learning models
Marcello Benedetti, Erika Lloyd, Stefan Sack, and Mattia Fiorentini · 2019
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Cited alongside, same era.
Practical quantum error mitigation for near-future applications
Suguru Endo, Simon C Benjamin, and Ying Li · 2018
Cited alongside, same era.
Classification with quantum neural networks on near term processors
Edward Farhi and Hartmut Neven · 2018
Cited alongside, same era.
Making machine learning robust against adversarial inputs
Ian Goodfellow, Patrick McDaniel, and Nicolas Papernot · 2018
Cited alongside, same era.
Hierarchical quantum classifiers
Edward Grant, Marcello Benedetti, Shuxiang Cao, Andrew Hallam, Joshua Lockhart, Vid Stojevic, Andrew G Green, and Simone Severini · 2018
Cited alongside, same era.
Quantum circuit learning
Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa, and Keisuke Fujii · 2018
Cited alongside, same era.
Foundations of machine learning
Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar · 2018
Cited alongside, same era.
Supervised learning with quantum-enhanced feature spaces
Vojtěch Havlíček, Antonio D Córcoles, Kristan Temme, Aram W Harrow, Abhinav Kandala, Jerry M Chow, and Jay M Gambetta · 2019
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Towards quantum machine learning with tensor networks
William Huggins, Piyush Patil, Bradley Mitchell, K Birgitta Whaley, and Miles Stoudenmire · 2019
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Certified robustness to adversarial examples with differential privacy
Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, and Suman Jana · 2019
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Vulnerability of quantum classification to adversarial perturbations
Nana Liu and Peter Wittek · 2019
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Quantum adversarial machine learning
Sirui Lu, Lu-Ming Duan, and Dong-Ling Deng · 2019
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Quantum machine learning in feature hilbert spaces
Maria Schuld and Nathan Killoran · 2019
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Adversarial examples: Attacks and defenses for deep learning
Xiaoyong Yuan, Pan He, Qile Zhu, and Xiaolin Li · 2019
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Quantum statistical query learning
Srinivasan Arunachalam, Alex B Grilo, and Henry Yuen · 2020
Closest in time.
Robust data encodings for quantum classifiers
Ryan LaRose and Brian Coyle · 2020
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