|
+
PDF
Chat
|
Machine learning & artificial intelligence in the quantum domain: a review of recent progress
|
2018
|
Vedran Dunjko
Hans J. Briegel
|
7
|
|
+
PDF
Chat
|
Machine learning meets quantum physics
|
2019
|
S. Das Sarma
Dong-Ling Deng
Luming Duan
|
7
|
|
+
PDF
Chat
|
Quantum machine learning
|
2017
|
Jacob Biamonte
Péter Wittek
Nicola Pancotti
Patrick Rebentrost
Nathan Wiebe
Seth Lloyd
|
7
|
|
+
PDF
Chat
|
Hierarchical quantum classifiers
|
2018
|
Edward Grant
Marcello Benedetti
Shuxiang Cao
Andrew Hallam
Joshua Lockhart
Vid Stojevic
A. G. Green
Simone Severini
|
6
|
|
+
PDF
Chat
|
Quantum adversarial machine learning
|
2020
|
Sirui Lu
Luming Duan
Dong-Ling Deng
|
6
|
|
+
PDF
Chat
|
Quantum Generative Adversarial Learning
|
2018
|
Seth Lloyd
Christian Weedbrook
|
6
|
|
+
PDF
Chat
|
Statistical mechanics of the cluster Ising model
|
2011
|
Pietro Smacchia
Luigi Amico
Paolo Facchi
Rosario Fazio
Giuseppe Florio
Saverio Pascazio
Vlatko Vedral
|
6
|
|
+
PDF
Chat
|
Julia: A Fresh Approach to Numerical Computing
|
2017
|
Jeff Bezanson
Alan Edelman
Stefan Karpinski
Viral B. Shah
|
5
|
|
+
PDF
Chat
|
Quantum Support Vector Machine for Big Data Classification
|
2014
|
Patrick Rebentrost
Masoud Mohseni
Seth Lloyd
|
5
|
|
+
PDF
Chat
|
A rigorous and robust quantum speed-up in supervised machine learning
|
2021
|
Yunchao Liu
Srinivasan Arunachalam
Kristan Temme
|
5
|
|
+
|
Quantum circuit learning
|
2018
|
Kosuke Mitarai
Makoto Negoro
Masahiro Kitagawa
Keisuke Fujii
|
5
|
|
+
PDF
Chat
|
Quantum Machine Learning in Feature Hilbert Spaces
|
2019
|
Maria Schuld
Nathan Killoran
|
4
|
|
+
PDF
Chat
|
Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design
|
2020
|
Xiu-Zhe Luo
Jin-Guo Liu
Pan Zhang
Lei Wang
|
4
|
|
+
PDF
Chat
|
Supervised learning with quantum-enhanced feature spaces
|
2019
|
Vojtěch Havlíček
Antonio Córcoles
Kristan Temme
Aram W. Harrow
Abhinav Kandala
Jerry M. Chow
Jay Gambetta
|
4
|
|
+
PDF
Chat
|
Experimental quantum adversarial learning with programmable superconducting qubits
|
2022
|
Wenhui Ren
Weikang Li
Shibo Xu
Ke Wang
Wenjie Jiang
Feitong Jin
Xuhao Zhu
Jiachen Chen
Zixuan Song
Pengfei Zhang
|
3
|
|
+
PDF
Chat
|
Branching quantum convolutional neural networks
|
2022
|
Ian MacCormack
Conor P. Delaney
Alexey Galda
Nidhi Aggarwal
Prineha Narang
|
3
|
|
+
PDF
Chat
|
Fisher Information in Noisy Intermediate-Scale Quantum Applications
|
2021
|
Johannes Jakob Meyer
|
3
|
|
+
PDF
Chat
|
Attention mechanisms in computer vision: A survey
|
2022
|
Meng-Hao Guo
Tian-Xing Xu
Jiangjiang Liu
Zheng-Ning Liu
Peng-Tao Jiang
Tai‐Jiang Mu
Song–Hai Zhang
Ralph R. Martin
Ming‐Ming Cheng
Shi‐Min Hu
|
3
|
|
+
PDF
Chat
|
Generalization in Quantum Machine Learning: A Quantum Information Standpoint
|
2021
|
Leonardo Banchi
Jason L. Pereira
Stefano Pirandola
|
3
|
|
+
PDF
Chat
|
Recent advances for quantum classifiers
|
2021
|
Weikang Li
Dong-Ling Deng
|
3
|
|
+
PDF
Chat
|
Vulnerability of quantum classification to adversarial perturbations
|
2020
|
Nana Liu
Péter Wittek
|
3
|
|
+
PDF
Chat
|
Towards understanding the power of quantum kernels in the NISQ era
|
2021
|
Xinbiao Wang
Yuxuan Du
Yong Luo
Dacheng Tao
|
3
|
|
+
PDF
Chat
|
Training of quantum circuits on a hybrid quantum computer
|
2019
|
Daiwei Zhu
Norbert Linke
Marcello Benedetti
K. A. Landsman
Nhung H. Nguyen
C. Huerta Alderete
Alejandro Perdomo‐Ortiz
Nathan Korda
A. Garfoot
Charles Brecque
|
3
|
|
+
PDF
Chat
|
Capacity and Quantum Geometry of Parametrized Quantum Circuits
|
2021
|
Tobias Haug
Kishor Bharti
M.S. Kim
|
3
|
|
+
PDF
Chat
|
Encoding-dependent generalization bounds for parametrized quantum circuits
|
2021
|
C. Matthias
Elies Gil-Fuster
Johannes Jakob Meyer
Jens Eisert
Ryan Sweke
|
3
|
|
+
PDF
Chat
|
Machine learning and the physical sciences
|
2019
|
Giuseppe Carleo
J. I. Cirac
K. Cranmer
Laurent Daudet
Maria Schuld
Naftali Tishby
Leslie Vogt-Maranto
Lenka Zdeborová
|
3
|
|
+
|
Noisy intermediate-scale quantum algorithms
|
2022
|
Kishor Bharti
Alba Cervera-Lierta
Thi Ha Kyaw
Tobias Haug
Sumner Alperin-Lea
Abhinav Anand
Matthias Degroote
Hermanni Heimonen
Jakob S. Kottmann
Tim Menke
|
3
|
|
+
PDF
Chat
|
Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz
|
2018
|
Jonathan Romero
Ryan Babbush
Jarrod R. McClean
Cornelius Hempel
Peter J. Love
Alán Aspuru‐Guzik
|
3
|
|
+
PDF
Chat
|
Quantum Random Access Memory
|
2008
|
Vittorio Giovannetti
Seth Lloyd
Lorenzo Maccone
|
3
|
|
+
PDF
Chat
|
Efficient Measure for the Expressivity of Variational Quantum Algorithms
|
2022
|
Yuxuan Du
Zhuozhuo Tu
Xiao Yuan
Dacheng Tao
|
3
|
|
+
PDF
Chat
|
Power of data in quantum machine learning
|
2021
|
Hsin-Yuan Huang
Michael Broughton
Masoud Mohseni
Ryan Babbush
Sergio Boixo
Hartmut Neven
Jarrod R. McClean
|
3
|
|
+
PDF
Chat
|
Federated Quantum Machine Learning
|
2021
|
Samuel Yen-Chi Chen
Shinjae Yoo
|
3
|
|
+
PDF
Chat
|
Continuous-variable quantum neural networks
|
2019
|
Nathan Killoran
Thomas R. Bromley
Juan Miguel Arrazola
Maria Schuld
Nicolás Quesada
Seth Lloyd
|
3
|
|
+
PDF
Chat
|
Q#
|
2018
|
Krysta M. Svore
Alan Geller
Matthias Troyer
John Azariah
Christopher Granade
Bettina Heim
Vadym Kliuchnikov
Mariia Mykhailova
Andres Paz
Martin Roetteler
|
3
|
|
+
PDF
Chat
|
Efficient Discrete Feature Encoding for Variational Quantum Classifier
|
2020
|
Hiroshi Yano
Yudai Suzuki
Rudy Raymond
Naoki Yamamoto
|
3
|
|
+
PDF
Chat
|
Quantum Boltzmann Machine
|
2018
|
M. H. S. Amin
Evgeny Andriyash
Jason Tyler Rolfe
Bohdan Kulchytskyy
Roger G. Melko
|
3
|
|
+
PDF
Chat
|
QuTiP: An open-source Python framework for the dynamics of open quantum systems
|
2012
|
J. R. Johansson
Paul D. Nation
Franco Nori
|
3
|
|
+
PDF
Chat
|
Quantum generative adversarial learning in a superconducting quantum circuit
|
2019
|
Ling Hu
Shu-Hao Wu
Weizhou Cai
Yuwei Ma
Xianghao Mu
Yuan Xu
Haiyan Wang
Yipu Song
Dong-Ling Deng
Chang‐Ling Zou
|
3
|
|
+
PDF
Chat
|
Hybrid Quantum-Classical Approach to Quantum Optimal Control
|
2017
|
Jun Li
Xiaodong Yang
Xinhua Peng
Chang-Pu Sun
|
3
|
|
+
PDF
Chat
|
Effect of data encoding on the expressive power of variational quantum-machine-learning models
|
2021
|
Maria Schuld
Ryan Sweke
Johannes Jakob Meyer
|
3
|
|
+
PDF
Chat
|
Hybrid quantum-classical convolutional neural networks
|
2021
|
Junhua Liu
Kwan Hui Lim
Kristin L. Wood
Wei Huang
Chu Guo
He-Liang Huang
|
3
|
|
+
PDF
Chat
|
Estimating the gradient and higher-order derivatives on quantum hardware
|
2021
|
Andrea Mari
Thomas R. Bromley
Nathan Killoran
|
3
|
|
+
PDF
Chat
|
Quantum machine learning for particle physics using a variational quantum classifier
|
2021
|
Andrew Blance
Michael Spannowsky
|
3
|
|
+
PDF
Chat
|
Quantum convolutional neural networks for high energy physics data analysis
|
2022
|
Samuel Yen-Chi Chen
Tzu-Chieh Wei
C. Zhang
Haiwang Yu
Shinjae Yoo
|
3
|
|
+
PDF
Chat
|
Expressivity of quantum neural networks
|
2021
|
Yadong Wu
Juan Yao
Pengfei Zhang
Hui Zhai
|
3
|
|
+
PDF
Chat
|
Dimensional Expressivity Analysis of Parametric Quantum Circuits
|
2021
|
Lena Funcke
Tobias Hartung
Karl Jansen
Stefan Kühn
Paolo Stornati
|
3
|
|
+
PDF
Chat
|
Quantum convolutional neural networks
|
2019
|
Iris Cong
Soonwon Choi
Mikhail D. Lukin
|
3
|
|
+
|
Regularized Evolution for Image Classifier Architecture Search
|
2019
|
Esteban Real
Alok Aggarwal
Yanping Huang
Quoc V. Le
|
2
|
|
+
|
Alibaba Cloud Quantum Development Platform: Applications to Quantum Algorithm Design
|
2019
|
Cupjin Huang
Márió Szegedy
Fang Zhang
Xun Gao
Jianxin Chen
Yaoyun Shi
|
2
|
|
+
PDF
Chat
|
Machine Learning Topological Phases with a Solid-State Quantum Simulator
|
2019
|
Wenqian Lian
Sheng-Tao Wang
Sirui Lu
Yuanyuan Huang
Fei Wang
Xinxing Yuan
Wengang Zhang
Xiaolong Ouyang
Xin Wang
Xianzhi Huang
|
2
|