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Enhancing Generative Models via Quantum Correlations

Enhancing Generative Models via Quantum Correlations

20 January 2021
Xun Gao
Eric R. Anschuetz
Sheng-Tao Wang
J. I. Cirac
M. Lukin
ArXivPDFHTML

Papers citing "Enhancing Generative Models via Quantum Correlations"

9 / 9 papers shown
Title
Probing many-body Bell correlation depth with superconducting qubits
Probing many-body Bell correlation depth with superconducting qubits
Ke Wang
Weikang Li
Shibo Xu
Mengyao Hu
Jiachen Chen
...
Patrick Emonts
Jordi Tura
Chao Song
H. Wang
Dong-Ling Deng
44
7
0
25 Jun 2024
Quantum Implicit Neural Representations
Quantum Implicit Neural Representations
Jiaming Zhao
Wenbo Qiao
Peng Zhang
Hui Gao
55
3
0
06 Jun 2024
Learning shallow quantum circuits
Learning shallow quantum circuits
Hsin-Yuan Huang
Yunchao Liu
Michael Broughton
Isaac Kim
Anurag Anshu
Zeph Landau
Jarrod R. McClean
32
26
0
18 Jan 2024
Variational Denoising for Variational Quantum Eigensolver
Variational Denoising for Variational Quantum Eigensolver
Quoc-Hoan Tran
Shinji Kikuchi
H. Oshima
24
3
0
02 Apr 2023
Quantum-inspired tensor network for Earth science
Quantum-inspired tensor network for Earth science
Soronzonbold Otgonbaatar
Dieter Kranzlmüller
PINN
AI4CE
31
4
0
15 Jan 2023
Do Quantum Circuit Born Machines Generalize?
Do Quantum Circuit Born Machines Generalize?
Kaitlin Gili
Mohamed Hibat-Allah
M. Mauri
C. Ballance
A. Perdomo-Ortiz
33
29
0
27 Jul 2022
Recent Advances for Quantum Neural Networks in Generative Learning
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
29
82
0
07 Jun 2022
Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search
  Framework
Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search Framework
Raúl Berganza Gómez
Corey O’Meara
G. Cortiana
C. Mendl
Juan Bernabé-Moreno
25
12
0
16 Feb 2022
From probabilistic graphical models to generalized tensor networks for
  supervised learning
From probabilistic graphical models to generalized tensor networks for supervised learning
I. Glasser
Nicola Pancotti
J. I. Cirac
AI4CE
69
75
0
15 Jun 2018
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