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1904.02214
Cited By
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine
3 April 2019
Brian Coyle
Daniel Mills
V. Danos
E. Kashefi
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Papers citing
"The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine"
21 / 21 papers shown
Title
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey
Bikram Khanal
Pablo Rivas
Arun Sanjel
Korn Sooksatra
Ernesto Quevedo
Alejandro Rodriguez
26
2
0
11 Sep 2024
Tensor tree learns hidden relational structures in data to construct generative models
Kenji Harada
Tsuyoshi Okubo
Naoki Kawashima
23
3
0
20 Aug 2024
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
Alona Sakhnenko
Julian Sikora
J. M. Lorenz
31
0
0
10 Jun 2024
Learning shallow quantum circuits
Hsin-Yuan Huang
Yunchao Liu
Michael Broughton
Isaac Kim
Anurag Anshu
Zeph Landau
Jarrod R. McClean
30
26
0
18 Jan 2024
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
M. Cerezo
Martín Larocca
Diego García-Martín
N. L. Diaz
Paolo Braccia
...
Pablo Bermejo
Aroosa Ijaz
Supanut Thanasilp
Eric R. Anschuetz
Zoë Holmes
35
128
0
14 Dec 2023
Learning Quantum Processes with Quantum Statistical Queries
Chirag Wadhwa
Mina Doosti
43
3
0
03 Oct 2023
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
Yize Sun
Yunpu Ma
Volker Tresp
26
10
0
19 Sep 2023
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
Santanu Ganguly
GAN
43
2
0
15 Aug 2023
A survey on the complexity of learning quantum states
Anurag Anshu
Srinivasan Arunachalam
32
66
0
31 May 2023
On the average-case complexity of learning output distributions of quantum circuits
A. Nietner
M. Ioannou
R. Sweke
R. Kueng
Jens Eisert
M. Hinsche
J. Haferkamp
26
11
0
09 May 2023
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
Kaitlin Gili
Rohan S. Kumar
Mykolas Sveistrys
C. Ballance
32
3
0
01 Feb 2023
MARS: Meta-Learning as Score Matching in the Function Space
Krunoslav Lehman Pavasovic
Jonas Rothfuss
Andreas Krause
BDL
27
4
0
24 Oct 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
24
80
0
07 Jun 2022
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines
I. Nikoloska
Osvaldo Simeone
AI4CE
11
3
0
31 Mar 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models
Kaitlin Gili
M. Mauri
A. Perdomo-Ortiz
30
7
0
21 Jan 2022
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
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
Chiara Leadbeater
Louis Sharrock
Brian Coyle
Marcello Benedetti
18
11
0
08 Oct 2021
Towards understanding the power of quantum kernels in the NISQ era
Xinbiao Wang
Yuxuan Du
Yong Luo
Dacheng Tao
30
68
0
31 Mar 2021
Learning quantum data with the quantum Earth Mover's distance
B. Kiani
Giacomo De Palma
M. Marvian
Zi-Wen Liu
S. Lloyd
21
45
0
08 Jan 2021
On the Quantum versus Classical Learnability of Discrete Distributions
R. Sweke
Jean-Pierre Seifert
D. Hangleiter
Jens Eisert
22
92
0
28 Jul 2020
Parameterized quantum circuits as machine learning models
Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
25
867
0
18 Jun 2019
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