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Quantum neural networks are promising for a wide range of applications in the Noisy Intermediate-Scale Quantum era.
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, and Eytan Bakshy · 1910
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A domain-agnostic, noise-resistant, hardware-efficient evolutionary variational quantum eigensolver
Arthur G Rattew, Shaohan Hu, Marco Pistoia, Richard Chen, and Steve Wood · 1910
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Bananas: Bayesian optimization with neural architectures for neural architecture search
Colin White, Willie Neiswanger, and Yash Savani · 1910
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Some simplified np-complete problems
M.R. Garey, D.S. Johnson, and L. Stockmeyer · 1976
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Review of the development of multidimensional scaling methods
Al Mead · 1992
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The earth mover’s distance as a metric for image retrieval
Yossi Rubner, Carlo Tomasi, and Leonidas J Guibas · 2000
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A scale-dependent notion of effective dimension
Oksana Berezniuk, Alessio Figalli, Raffaele Ghigliazza, and Kharen Musaelian · 2001
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Gaussian processes in machine learning
Carl Edward Rasmussen · 2003
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Procrustes problems , volume 30
John C Gower and Garmt B Dijksterhuis · 2004
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Constructions of mutually unbiased bases
Andreas Klappenecker and Martin Rötteler · 2004
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Mutually unbiased bases are complex projective 2-designs
Andreas Klappenecker and Martin Rotteler · 2005
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Interpretable neural architecture search via bayesian optimisation with weisfeiler-lehman kernels
Binxin Ru, Xingchen Wan, Xiaowen Dong, and Michael Osborne · 2006
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Eric Brochu, Vlad M Cora, and Nando De Freitas · 2010
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On mutually unbiased bases
Thomas Durt, Berthold-Georg Englert, Ingemar Bengtsson, and Karol Życzkowski · 2010
Cited alongside, same era.
Quantum Computation and Quantum Information: 10th Anniversary Edition
Michael A. Nielsen and Isaac L. Chuang · 2010
Cited alongside, same era.
Differentiable quantum architecture search
Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang, and Hong Yao · 2010
Cited alongside, same era.
A quantum approximate optimization algorithm, 2014
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
Cited alongside, same era.
An adaptive variational algorithm for exact molecular simulations on a quantum computer
Harper R Grimsley, Sophia E Economou, Edwin Barnes, and Nicholas J Mayhall · 2019
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Deep neural architecture search with deep graph bayesian optimization
Lizheng Ma, Jiaxu Cui, and Bo Yang · 2019
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The random matrix theory of the classical compact groups , volume 218
Elizabeth S Meckes · 2019
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Computational optimal transport: With applications to data science
Gabriel Peyré, Marco Cuturi, et al · 2019
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Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum-classical algorithms
Sukin Sim, Peter D Johnson, and Alán Aspuru-Guzik · 2019
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Quantum generative adversarial networks for learning and loading random distributions
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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Cited alongside, same era.
A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J. Love, Alań Aspuru-Guzik, and Jeremy L. O’Brien · 2014
Cited alongside, same era.
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
Abhinav Kandala, Antonio Mezzacapo, Kristan Temme, Maika Takita, Markus Brink, Jerry M Chow, and Jay M Gambetta · 2017
Cited alongside, same era.
Quantum generative adversarial networks
Pierre-Luc Dallaire-Demers and Nathan Killoran · 2018
Cited alongside, same era.
Neural architecture search with bayesian optimisation and optimal transport
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider, Barnabás Póczos, and Eric P. Xing · 2018
Cited alongside, same era.
Quantum generative adversarial learning
Seth Lloyd and Christian Weedbrook · 2018
Cited alongside, same era.
Qiskit: An open-source framework for quantum computing, January 2019
Aleksandrowicz et. al. Gadi · 2019
Cited alongside, same era.
Christa Zoufal, Aurélien Lucchi, and Stefan Woerner · 2019
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A semi-agnostic ansatz with variable structure for quantum machine learning
M Bilkis, M Cerezo, Guillaume Verdon, Patrick J Coles, and Lukasz Cincio · 2021
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Quantum architecture search via deep reinforcement learning
En-Jui Kuo, Yao-Lung L Fang, and Samuel Yen-Chi Chen · 2021
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Structure optimization for parameterized quantum circuits
Mateusz Ostaszewski, Edward Grant, and Marcello Benedetti · 2021
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qubit-adapt-vqe: An adaptive algorithm for constructing hardware-efficient ansätze on a quantum processor
Ho Lun Tang, VO Shkolnikov, George S Barron, Harper R Grimsley, Nicholas J Mayhall, Edwin Barnes, and Sophia E Economou · 2021
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Neural predictor based quantum architecture search
Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang, and Hong Yao · 2021
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Quantum circuit architecture search for variational quantum algorithms
Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, and Dacheng Tao · 2022
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