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Quantum Machine Learning
v1v2 (latest)

Quantum Machine Learning

28 November 2016
Jacob Biamonte
P. Wittek
Nicola Pancotti
Patrick Rebentrost
N. Wiebe
S. Lloyd
ArXiv (abs)PDFHTML

Papers citing "Quantum Machine Learning"

50 / 377 papers shown
Title
Enhancing Generative Models via Quantum Correlations
Enhancing Generative Models via Quantum CorrelationsPhysical Review X (PRX), 2021
Xun Gao
Eric R. Anschuetz
Sheng-Tao Wang
J. I. Cirac
M. Lukin
72
99
0
20 Jan 2021
On the statistical complexity of quantum circuits
On the statistical complexity of quantum circuits
Kaifeng Bu
D. E. Koh
Lu Li
Qingxian Luo
Yaobo Zhang
210
50
0
15 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning
Information-theoretic bounds on quantum advantage in machine learningPhysical Review Letters (PRL), 2021
Hsin-Yuan Huang
R. Kueng
J. Preskill
332
271
0
07 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren
  plateaus
Connecting ansatz expressibility to gradient magnitudes and barren plateausPRX Quantum (PRX Quantum), 2021
Zoë Holmes
Kunal Sharma
M. Cerezo
Patrick J. Coles
403
528
0
06 Jan 2021
Variational Quantum Cloning: Improving Practicality for Quantum
  Cryptanalysis
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
Brian Coyle
Mina Doosti
E. Kashefi
N. Kumar
133
4
0
21 Dec 2020
Quantum reinforcement learning in continuous action space
Quantum reinforcement learning in continuous action spaceQuantum (Quantum), 2020
Shaojun Wu
Shan Jin
Dingding Wen
Donghong Han
Xiaoting Wang
LRM
405
57
0
19 Dec 2020
Variational Quantum Algorithms
Variational Quantum AlgorithmsNature Reviews Physics (Nat. Rev. Phys.), 2020
M. Cerezo
A. Arrasmith
Ryan Babbush
S. Benjamin
Suguru Endo
...
Jarrod R. McClean
K. Mitarai
Xiao Yuan
L. Cincio
Patrick J. Coles
387
3,133
0
16 Dec 2020
Programmable Quantum Annealers as Noisy Gibbs Samplers
Programmable Quantum Annealers as Noisy Gibbs SamplersPRX Quantum (PRX Quantum), 2020
Marc Vuffray
Carleton Coffrin
Y. Kharkov
A. Lokhov
97
33
0
16 Dec 2020
Quantum Technology for Economists
Quantum Technology for Economists
Isaiah Hull
Or Sattath
E. Diamanti
G. Wendin
317
19
0
08 Dec 2020
Absence of Barren Plateaus in Quantum Convolutional Neural Networks
Absence of Barren Plateaus in Quantum Convolutional Neural Networks
Arthur Pesah
M. Cerezo
Samson Wang
T. Volkoff
A. Sornborger
Patrick J. Coles
275
328
0
05 Nov 2020
Experimental Quantum Generative Adversarial Networks for Image
  Generation
Experimental Quantum Generative Adversarial Networks for Image Generation
Heliang Huang
Yuxuan Du
Mingming Gong
You-Wei Zhao
Yulin Wu
...
Chao Lu
Yu-Ao Chen
Dacheng Tao
Xiaobo Zhu
Jian-Wei Pan
GAN
275
232
0
13 Oct 2020
A rigorous and robust quantum speed-up in supervised machine learning
A rigorous and robust quantum speed-up in supervised machine learningNature Physics (Nat. Phys.), 2020
Yunchao Liu
Srinivasan Arunachalam
K. Temme
509
643
0
05 Oct 2020
A Derivative-free Method for Quantum Perceptron Training in
  Multi-layered Neural Networks
A Derivative-free Method for Quantum Perceptron Training in Multi-layered Neural NetworksInternational Conference on Neural Information Processing (ICONIP), 2020
T. M. Khan
A. Robles-Kelly
136
16
0
23 Sep 2020
Optimal Provable Robustness of Quantum Classification via Quantum
  Hypothesis Testing
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testingnpj Quantum Information (npjQI), 2020
Maurice Weber
Nana Liu
Yue Liu
Ce Zhang
Zhikuan Zhao
AAML
284
39
0
21 Sep 2020
Quantum Discriminator for Binary Classification
Quantum Discriminator for Binary ClassificationScientific Reports (Sci Rep), 2020
Prasanna Date
Wyatt Smith
388
14
0
02 Sep 2020
Universal Approximation Property of Quantum Machine Learning Models in
  Quantum-Enhanced Feature Spaces
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature SpacesPhysical Review Letters (PRL), 2020
Takahiro Goto
Quoc Hoan Tran
Kohei Nakajima
210
88
0
01 Sep 2020
Robustness Verification of Quantum Classifiers
Robustness Verification of Quantum Classifiers
J. Guan
Wang Fang
Mingsheng Ying
AAML
258
28
0
17 Aug 2020
A divide-and-conquer algorithm for quantum state preparation
A divide-and-conquer algorithm for quantum state preparation
Israel F. Araujo
D. Park
Francesco Petruccione
A. J. D. Silva
157
202
0
04 Aug 2020
Quantum One-class Classification With a Distance-based Classifier
Quantum One-class Classification With a Distance-based ClassifierIEEE International Joint Conference on Neural Network (IJCNN), 2020
Nicolas Oliveira
Lucas P. de Albuquerque
W. R. Oliveira
Teresa B Ludermir
A. J. D. Silva
VLM
121
1
0
31 Jul 2020
On the Quantum versus Classical Learnability of Discrete Distributions
On the Quantum versus Classical Learnability of Discrete DistributionsQuantum (Quantum), 2020
R. Sweke
Jean-Pierre Seifert
D. Hangleiter
Jens Eisert
144
104
0
28 Jul 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Noise-Induced Barren Plateaus in Variational Quantum AlgorithmsNature Communications (Nat Commun), 2020
Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
A. Sone
L. Cincio
Patrick J. Coles
656
776
0
28 Jul 2020
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets
Reformulation of the No-Free-Lunch Theorem for Entangled Data SetsPhysical Review Letters (PRL), 2020
Kunal Sharma
M. Cerezo
Zoë Holmes
L. Cincio
A. Sornborger
Patrick J. Coles
251
53
0
09 Jul 2020
Quantum Computing Methods for Supervised Learning
Quantum Computing Methods for Supervised Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
128
31
0
22 Jun 2020
High-Dimensional Similarity Search with Quantum-Assisted Variational
  Autoencoder
High-Dimensional Similarity Search with Quantum-Assisted Variational AutoencoderKnowledge Discovery and Data Mining (KDD), 2020
Nicholas Gao
M. Wilson
T. Vandal
W. Vinci
R. Nemani
E. Rieffel
DRL
109
22
0
13 Jun 2020
The prospects of quantum computing in computational molecular biology
The prospects of quantum computing in computational molecular biology
C. Outeiral
M. Strahm
Jiye Shi
Garrett M. Morris
S. Benjamin
Charlotte M. Deane
162
205
0
26 May 2020
Trainability of Dissipative Perceptron-Based Quantum Neural Networks
Trainability of Dissipative Perceptron-Based Quantum Neural NetworksPhysical Review Letters (PRL), 2020
Kunal Sharma
M. Cerezo
L. Cincio
Patrick J. Coles
GNN
208
161
0
26 May 2020
On compression rate of quantum autoencoders: Control design, numerical
  and experimental realization
On compression rate of quantum autoencoders: Control design, numerical and experimental realization
Hailan Ma
Chang-Jiang Huang
Chunlin Chen
D. Dong
Yuanlong Wang
R. Wu
G. Xiang
DRL
192
28
0
22 May 2020
Variational quantum Gibbs state preparation with a truncated Taylor
  series
Variational quantum Gibbs state preparation with a truncated Taylor series
Youle Wang
Guangxi Li
Xin Wang
161
86
0
18 May 2020
Quantum Natural Language Processing on Near-Term Quantum Computers
Quantum Natural Language Processing on Near-Term Quantum Computers
K. Meichanetzidis
S. Gogioso
G. Felice
Nicolò Chiappori
Alexis Toumi
B. Coecke
242
77
0
08 May 2020
Towards quantum advantage via topological data analysis
Towards quantum advantage via topological data analysisQuantum (Quantum), 2020
Casper Gyurik
Chris Cade
Vedran Dunjko
184
47
0
06 May 2020
Variational Quantum Eigensolver for Frustrated Quantum Systems
Variational Quantum Eigensolver for Frustrated Quantum Systems
Alexey Uvarov
Jacob Biamonte
D. Yudin
118
57
0
01 May 2020
Quantum machine learning and quantum biomimetics: A perspective
Quantum machine learning and quantum biomimetics: A perspective
L. Lamata
AI4CE
185
60
0
25 Apr 2020
Topological Quantum Compiling with Reinforcement Learning
Topological Quantum Compiling with Reinforcement LearningPhysical Review Letters (PRL), 2020
Yuanhua Zhang
Peikun Zheng
Yi Zhang
D. Deng
129
90
0
09 Apr 2020
On the Principles of Differentiable Quantum Programming Languages
On the Principles of Differentiable Quantum Programming LanguagesACM-SIGPLAN Symposium on Programming Language Design and Implementation (PLDI), 2020
Shaopeng Zhu
S. Hung
Shouvanik Chakrabarti
Xiaodi Wu
70
8
0
02 Apr 2020
Quantum noise protects quantum classifiers against adversaries
Quantum noise protects quantum classifiers against adversariesPhysical Review Research (PRResearch), 2020
Yuxuan Du
Min-hsiu Hsieh
Tongliang Liu
Dacheng Tao
Nana Liu
AAML
145
131
0
20 Mar 2020
Single-exposure absorption imaging of ultracold atoms using deep
  learning
Single-exposure absorption imaging of ultracold atoms using deep learning
G. Ness
Anastasiya Vainbaum
Constantine Shkedrov
Yanay Florshaim
Y. Sagi
166
16
0
03 Mar 2020
Quantum Bandits
Quantum BanditsQuantum Machine Intelligence (QMI), 2020
Balthazar Casalé
G. Di Molfetta
Hachem Kadri
L. Ralaivola
141
30
0
15 Feb 2020
Finding Quantum Critical Points with Neural-Network Quantum States
Finding Quantum Critical Points with Neural-Network Quantum StatesEuropean Conference on Artificial Intelligence (ECAI), 2020
Remmy A. M. Zen
Long My
Ryan Tan
F. Hébert
M. Gattobigio
C. Miniatura
Dario Poletti
S. Bressan
71
7
0
07 Feb 2020
Temporal Information Processing on Noisy Quantum Computers
Temporal Information Processing on Noisy Quantum ComputersPhysical Review Applied (PR Applied), 2020
Jiayin Chen
H. Nurdin
N. Yamamoto
145
105
0
26 Jan 2020
Parametric Probabilistic Quantum Memory
Parametric Probabilistic Quantum MemoryNeurocomputing (Neurocomputing), 2020
Rodrigo S. Sousa
P. D. Santos
T. M. L. Veras
W. R. Oliveira
A. J. D. Silva
109
9
0
11 Jan 2020
Tangent-Space Gradient Optimization of Tensor Network for Machine
  Learning
Tangent-Space Gradient Optimization of Tensor Network for Machine LearningPhysical Review E (PRE), 2020
Zheng-Zhi Sun
Shi-Ju Ran
G. Su
101
16
0
10 Jan 2020
Quantum Machine Learning Algorithm for Knowledge Graphs
Quantum Machine Learning Algorithm for Knowledge GraphsACM Transactions on Quantum Computing (ACM TQC), 2020
Yunpu Ma
Volker Tresp
178
16
0
04 Jan 2020
Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata
  Approach
Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach
Ramin Ayanzadeh
M. Halem
Timothy W. Finin
65
5
0
01 Jan 2020
Quantum Adversarial Machine Learning
Quantum Adversarial Machine LearningPhysical Review Research (PRR), 2019
Sirui Lu
L. Duan
D. Deng
AAML
279
129
0
31 Dec 2019
Transfer learning in hybrid classical-quantum neural networks
Transfer learning in hybrid classical-quantum neural networks
A. Mari
T. Bromley
J. Izaac
Maria Schuld
N. Killoran
185
352
0
17 Dec 2019
Variational Quantum Circuits for Quantum State Tomography
Variational Quantum Circuits for Quantum State Tomography
Yong Liu
Dongyang Wang
Shichuan Xue
Anqi Huang
Xiang Fu
...
Heliang Huang
Mingtang Deng
Chu Guo
Xuejun Yang
Junjie Wu
121
48
0
16 Dec 2019
A quantum active learning algorithm for sampling against adversarial
  attacks
A quantum active learning algorithm for sampling against adversarial attacksNew Journal of Physics (New J. Phys.), 2019
Pablo Antonio Moreno Casares
M. Martin-Delgado
AAML
194
11
0
06 Dec 2019
A Path Towards Quantum Advantage in Training Deep Generative Models with
  Quantum Annealers
A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
Walter Winci
L. Buffoni
Hossein Sadeghi
Amir Khoshaman
Evgeny Andriyash
Mohammad H. Amin
BDLDRL
97
60
0
04 Dec 2019
Quantum Computation with Machine-Learning-Controlled Quantum Stuff
Quantum Computation with Machine-Learning-Controlled Quantum Stuff
L. Hardy
Adam G. M. Lewis
38
2
0
29 Nov 2019
Variational Quantum Algorithms for Dimensionality Reduction and
  Classification
Variational Quantum Algorithms for Dimensionality Reduction and Classification
Jin‐Min Liang
Shuqian Shen
Ming Li
Lei Li
84
37
0
27 Oct 2019
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