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On the Quantum versus Classical Learnability of Discrete Distributions

On the Quantum versus Classical Learnability of Discrete Distributions

28 July 2020
R. Sweke
Jean-Pierre Seifert
D. Hangleiter
Jens Eisert
ArXivPDFHTML

Papers citing "On the Quantum versus Classical Learnability of Discrete Distributions"

42 / 42 papers shown
Title
An unconditional distribution learning advantage with shallow quantum
  circuits
An unconditional distribution learning advantage with shallow quantum circuits
N. Pirnay
S. Jerbi
J. -P. Seifert
J. Eisert
73
1
0
23 Nov 2024
Satellite image classification with neural quantum kernels
Satellite image classification with neural quantum kernels
Pablo Rodriguez-Grasa
Robert Farzan-Rodriguez
Gabriele Novelli
Yue Ban
Mikel Sanz
26
0
0
30 Sep 2024
Quantum delegated and federated learning via quantum homomorphic
  encryption
Quantum delegated and federated learning via quantum homomorphic encryption
Weikang Li
Dong-Ling Deng
FedML
21
0
0
28 Sep 2024
Hype or Heuristic? Quantum Reinforcement Learning for Join Order
  Optimisation
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
Maja Franz
Tobias Winker
Sven Groppe
Wolfgang Mauerer
18
2
0
13 May 2024
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning
Eric R. Anschuetz
Xun Gao
40
4
0
13 Feb 2024
On the expressivity of embedding quantum kernels
On the expressivity of embedding quantum kernels
Elies Gil-Fuster
Jens Eisert
Vedran Dunjko
27
16
0
25 Sep 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of
  Supervised and Unsupervised Techniques for Real-World Applications
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
20
23
0
03 Jul 2023
Exponential separations between classical and quantum learners
Exponential separations between classical and quantum learners
Casper Gyurik
Vedran Dunjko
11
18
0
28 Jun 2023
Understanding quantum machine learning also requires rethinking
  generalization
Understanding quantum machine learning also requires rethinking generalization
Elies Gil-Fuster
Jens Eisert
Carlos Bravo-Prieto
30
45
0
23 Jun 2023
Classical Verification of Quantum Learning
Classical Verification of Quantum Learning
Matthias C. Caro
M. Hinsche
M. Ioannou
A. Nietner
R. Sweke
22
5
0
08 Jun 2023
Shadows of quantum machine learning
Shadows of quantum machine learning
Sofiene Jerbi
Casper Gyurik
Simon Marshall
Riccardo Molteni
Vedran Dunjko
16
41
0
31 May 2023
Trainability barriers and opportunities in quantum generative modeling
Trainability barriers and opportunities in quantum generative modeling
Manuel S. Rudolph
S. Lerch
Supanut Thanasilp
Oriel Kiss
S. Vallecorsa
Michele Grossi
Zoë Holmes
51
25
0
04 May 2023
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement
  Learning
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning
Nico Meyer
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
M. Hartmann
31
10
0
26 Apr 2023
Towards provably efficient quantum algorithms for large-scale
  machine-learning models
Towards provably efficient quantum algorithms for large-scale machine-learning models
Junyu Liu
Minzhao Liu
Jin-Peng Liu
Ziyu Ye
Yunfei Wang
Yuri Alexeev
Jens Eisert
Liang Jiang
61
51
0
06 Mar 2023
Generative Invertible Quantum Neural Networks
Generative Invertible Quantum Neural Networks
Armand Rousselot
M. Spannowsky
BDL
14
9
0
24 Feb 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks
  with Quantum Computation
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
H. Yamasaki
Sathyawageeswar Subramanian
Satoshi Hayakawa
Sho Sonoda
MLT
30
4
0
27 Jan 2023
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Nico Meyer
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
M. Hartmann
29
19
0
13 Dec 2022
A super-polynomial quantum-classical separation for density modelling
A super-polynomial quantum-classical separation for density modelling
Niklas Pirnay
R. Sweke
Jens Eisert
Jean-Pierre Seifert
16
15
0
26 Oct 2022
A learning theory for quantum photonic processors and beyond
A learning theory for quantum photonic processors and beyond
M. Rosati
23
7
0
07 Sep 2022
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
11
76
0
23 Aug 2022
On establishing learning separations between classical and quantum
  machine learning with classical data
On establishing learning separations between classical and quantum machine learning with classical data
Casper Gyurik
Vedran Dunjko
18
15
0
12 Aug 2022
A single $T$-gate makes distribution learning hard
A single TTT-gate makes distribution learning hard
M. Hinsche
M. Ioannou
A. Nietner
J. Haferkamp
Yihui Quek
D. Hangleiter
Jean-Pierre Seifert
Jens Eisert
R. Sweke
17
16
0
07 Jul 2022
Classical surrogates for quantum learning models
Classical surrogates for quantum learning models
Franz J. Schreiber
Jens Eisert
Johannes Jakob Meyer
AI4CE
12
48
0
23 Jun 2022
Hyperparameter Importance of Quantum Neural Networks Across Small
  Datasets
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
Charles Moussa
Jan N. van Rijn
Thomas Bäck
Vedran Dunjko
19
12
0
20 Jun 2022
Power of Quantum Generative Learning
Power of Quantum Generative Learning
Yuxuan Du
Zhuozhuo Tu
Bujiao Wu
Xiao Yuan
Dacheng Tao
AI4CE
25
8
0
10 May 2022
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born
  Machines
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines
I. Nikoloska
Osvaldo Simeone
AI4CE
11
3
0
31 Mar 2022
Completely Quantum Neural Networks
Completely Quantum Neural Networks
Steve Abel
J. C. Criado
M. Spannowsky
19
25
0
23 Feb 2022
Classical versus Quantum: comparing Tensor Network-based Quantum
  Circuits on LHC data
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
Jack Y. Araz
M. Spannowsky
28
14
0
21 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative
  Models
Generalization Metrics for Practical Quantum Advantage in Generative Models
Kaitlin Gili
M. Mauri
A. Perdomo-Ortiz
30
7
0
21 Jan 2022
Generalized quantum similarity learning
Generalized quantum similarity learning
Santosh Kumar Radha
Casey Jao
12
2
0
07 Jan 2022
Quantum machine learning beyond kernel methods
Quantum machine learning beyond kernel methods
Sofiene Jerbi
Lukas J. Fiderer
Hendrik Poulsen Nautrup
Jonas M. Kubler
H. Briegel
Vedran Dunjko
11
159
0
25 Oct 2021
Learnability of the output distributions of local quantum circuits
Learnability of the output distributions of local quantum circuits
M. Hinsche
M. Ioannou
A. Nietner
J. Haferkamp
Yihui Quek
D. Hangleiter
Jean-Pierre Seifert
Jens Eisert
R. Sweke
27
17
0
11 Oct 2021
Exponential Error Convergence in Data Classification with Optimized
  Random Features: Acceleration by Quantum Machine Learning
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning
H. Yamasaki
Sho Sonoda
15
6
0
16 Jun 2021
Encoding-dependent generalization bounds for parametrized quantum
  circuits
Encoding-dependent generalization bounds for parametrized quantum circuits
Matthias C. Caro
Elies Gil-Fuster
Johannes Jakob Meyer
Jens Eisert
R. Sweke
UQCV
10
101
0
07 Jun 2021
Variational inference with a quantum computer
Variational inference with a quantum computer
Marcello Benedetti
Brian Coyle
Mattia Fiorentini
M. Lubasch
Matthias Rosenkranz
BDL
22
37
0
11 Mar 2021
Parametrized quantum policies for reinforcement learning
Parametrized quantum policies for reinforcement learning
Sofiene Jerbi
Casper Gyurik
Simon Marshall
H. Briegel
Vedran Dunjko
40
103
0
09 Mar 2021
Enhancing Generative Models via Quantum Correlations
Enhancing Generative Models via Quantum Correlations
Xun Gao
Eric R. Anschuetz
Sheng-Tao Wang
J. I. Cirac
M. Lukin
6
75
0
20 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
63
213
0
07 Jan 2021
Foundations for Near-Term Quantum Natural Language Processing
Foundations for Near-Term Quantum Natural Language Processing
B. Coecke
G. Felice
K. Meichanetzidis
Alexis Toumi
10
85
0
07 Dec 2020
Power of data in quantum machine learning
Power of data in quantum machine learning
Hsin-Yuan Huang
Michael Broughton
Masoud Mohseni
Ryan Babbush
Sergio Boixo
Hartmut Neven
Jarrod R. McClean
9
621
0
03 Nov 2020
A rigorous and robust quantum speed-up in supervised machine learning
A rigorous and robust quantum speed-up in supervised machine learning
Yunchao Liu
Srinivasan Arunachalam
K. Temme
8
527
0
05 Oct 2020
Quantum versus Classical Generative Modelling in Finance
Quantum versus Classical Generative Modelling in Finance
Brian Coyle
Maxwell P. Henderson
Justin Chan Jin Le
N. Kumar
M. Paini
E. Kashefi
8
59
0
03 Aug 2020
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