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In the recent noisy intermediate-scale quantum era, the research on the combination of artificial intelligence and quantum computing has been greatly developed.
On information and sufficiency
Solomon Kullback and Richard A Leibler · 1951
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The computer as a physical system: A microscopic quantum mechanical hamiltonian model of computers as represented by turing machines
Paul Benioff · 1980
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Simulating physics with computers
Richard P Feynman · 1982
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Quantum theory, the church–turing principle and the universal quantum computer
David Deutsch · 1985
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Average fidelity between random quantum states
Karol Życzkowski and Hans-Jürgen Sommers · 2005
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General quantum interference principle and duality computer
Long Gui-Lu · 2006
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Quantum computation and quantum information
Michael A Nielsen and Isaac L Chuang · 2010
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Hamiltonian simulation using linear combinations of unitary operations
Andrew M Childs and Nathan Wiebe · 2012
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An introduction to quantum machine learning
Maria Schuld, Ilya Sinayskiy, and Francesco Petruccione · 2014
Earlier work this paper cites.
Principal component analysis: a review and recent developments
Ian T Jolliffe and Jorge Cadima · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 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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Quantum computing in the nisq era and beyond
John Preskill · 2018
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Classification with quantum neural networks on near term processors
Edward Farhi and Hartmut Neven · 2018
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Quantum generative adversarial networks
Pierre-Luc Dallaire-Demers and Nathan Killoran · 2018
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Barren plateaus in quantum neural network training landscapes
Jarrod R McClean, Sergio Boixo, Vadim N Smelyanskiy, Ryan Babbush, and Hartmut Neven · 2018
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Pennylane: Automatic differentiation of hybrid quantum-classical computations
Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, Shahnawaz Ahmed, Vishnu Ajith, M Sohaib Alam, Guillermo Alonso-Linaje, B AkashNarayanan, Ali Asadi, et al · 2018
Earlier work this paper cites.
Quantum supremacy using a programmable superconducting processor
Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando GSL Brandao, David A Buell, et al · 2019
Earlier work this paper cites.
Quantum chemistry in the age of quantum computing
Yudong Cao, Jonathan Romero, Jonathan P Olson, Matthias Degroote, Peter D Johnson, Mária Kieferová, Ian D Kivlichan, Tim Menke, Borja Peropadre, Nicolas PD Sawaya, et al · 2019
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
Cited alongside, same era.
Quantum machine learning in feature hilbert spaces
Maria Schuld and Nathan Killoran · 2019
Cited alongside, same era.
Quantum convolutional neural networks
Iris Cong, Soonwon Choi, and Mikhail D Lukin · 2019
Cited alongside, same era.
Evaluating analytic gradients on quantum hardware
Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran · 2019
Cited alongside, same era.
Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum-classical algorithms
Absence of barren plateaus in quantum convolutional neural networks
Arthur Pesah, Marco Cerezo, Samson Wang, Tyler Volkoff, Andrew T Sornborger, and Patrick J Coles · 2021
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Encoding-dependent generalization bounds for parametrized quantum circuits
Matthias C Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, and Ryan Sweke · 2021
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Effect of data encoding on the expressive power of variational quantum-machine-learning models
Maria Schuld, Ryan Sweke, and Johannes Jakob Meyer · 2021
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Estimating the gradient and higher-order derivatives on quantum hardware
Andrea Mari, Thomas R Bromley, and Nathan Killoran · 2021
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Universal approximation property of quantum machine learning models in quantum-enhanced feature spaces
Takahiro Goto, Quoc Hoan Tran, and Kohei Nakajima · 2021
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Sukin Sim, Peter D Johnson, and Alán Aspuru-Guzik · 2019
Cited alongside, same era.
Quantum computational advantage using photons
Han-Sen Zhong, Hui Wang, Yu-Hao Deng, Ming-Cheng Chen, Li-Chao Peng, Yi-Han Luo, Jian Qin, Dian Wu, Xing Ding, Yi Hu, et al · 2020
Cited alongside, same era.
Quanvolutional neural networks: powering image recognition with quantum circuits
Maxwell Henderson, Samriddhi Shakya, Shashindra Pradhan, and Tristan Cook · 2020
Cited alongside, same era.
Training deep quantum neural networks
Kerstin Beer, Dmytro Bondarenko, Terry Farrelly, Tobias J Osborne, Robert Salzmann, Daniel Scheiermann, and Ramona Wolf · 2020
Cited alongside, same era.
Recurrent quantum neural networks
Johannes Bausch · 2020
Cited alongside, same era.
Input redundancy for parameterized quantum circuits
Francisco Javier Gil Vidal and Dirk Oliver Theis · 2020
Cited alongside, same era.
Data re-uploading for a universal quantum classifier
Adrián Pérez-Salinas, Alba Cervera-Lierta, Elies Gil-Fuster, and José I Latorre · 2020
Cited alongside, same era.
Robert Cumming and Tim Thomas · 2022
Later among the works it cites.
A survey of quantum computing for finance
Dylan Herman, Cody Googin, Xiaoyuan Liu, Alexey Galda, Ilya Safro, Yue Sun, Marco Pistoia, and Yuri Alexeev · 2022
Later among the works it cites.
Challenges and opportunities in quantum machine learning
M Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, and Patrick J Coles · 2022
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Quantum convolutional neural network for classical data classification
Tak Hur, Leeseok Kim, and Daniel K Park · 2022
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Quantum methods for neural networks and application to medical image classification
Jonas Landman, Natansh Mathur, Yun Yvonna Li, Martin Strahm, Skander Kazdaghli, Anupam Prakash, and Iordanis Kerenidis · 2022
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Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases
Johannes Herrmann, Sergi Masot Llima, Ants Remm, Petr Zapletal, Nathan A McMahon, Colin Scarato, François Swiadek, Christian Kraglund Andersen, Christoph Hellings, Sebastian Krinner, et al · 2022
Later among the works it cites.
General parameter-shift rules for quantum gradients
David Wierichs, Josh Izaac, Cody Wang, and Cedric Yen-Yu Lin · 2022
Later among the works it cites.
Quantum machine learning: A review and case studies
Amine Zeguendry, Zahi Jarir, and Mohamed Quafafou · 2023
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Resqnets: A residual approach for mitigating barren plateaus in quantum neural networks
Muhammad Kashif and Saif Al-Kuwari · 2023
Later among the works it cites.
Hybrid quantum-classical convolutional neural network for phytoplankton classification
Shangshang Shi, Zhimin Wang, Ruimin Shang, Yanan Li, Jiaxin Li, Guoqiang Zhong, and Yongjian Gu · 2023
Later among the works it cites.
A quantum deep convolutional neural network for image recognition
YaoChong Li, Ri-Gui Zhou, RuQing Xu, Jia Luo, and WenWen Hu · 2058
Closest in time.
Quantum capsule networks
Zidu Liu, Pei-Xin Shen, Weikang Li, Lu-Ming Duan, and Dong-Ling Deng · 2058
Closest in time.