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Experimental Implementation of a Quantum Autoencoder via Quantum Adders
v1v2 (latest)

Experimental Implementation of a Quantum Autoencoder via Quantum Adders

27 July 2018
Yongcheng Ding
L. Lamata
M. Sanz
Xi Chen
Enrique Solano
ArXiv (abs)PDFHTML

Papers citing "Experimental Implementation of a Quantum Autoencoder via Quantum Adders"

12 / 12 papers shown
Quantum Machine Learning in Drug Discovery: Applications in Academia and
  Pharmaceutical Industries
Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical IndustriesChemical Reviews (Chem. Rev.), 2024
Anthony M. Smaldone
Yu Shee
Gregory W. Kyro
Chuzhi Xu
Nam P. Vu
...
Marwa H. Farag
Alexey Galda
Sandeep Kumar
Elica Kyoseva
Victor S. Batista
Mamba
249
31
0
24 Sep 2024
Quantum Machine Learning Implementations: Proposals and Experiments
Quantum Machine Learning Implementations: Proposals and ExperimentsAdvanced Quantum Technologies (AQT), 2023
L. Lamata
238
12
0
11 Mar 2023
Learning Quantum Processes with Memory -- Quantum Recurrent Neural
  Networks
Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networks
Dmytro Bondarenko
Robert Salzmann
Viktoria-S. Schmiesing
269
4
0
19 Jan 2023
Near-Term Quantum Computing Techniques: Variational Quantum Algorithms,
  Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation
Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical SimulationScience China Physics Mechanics and Astronomy (SCPMA), 2022
Heliang Huang
Xiao-Yue Xu
Chu Guo
Guojing Tian
Shijie Wei
Xiaoming Sun
Wansu Bao
G. Long
288
87
0
16 Nov 2022
An Invitation to Distributed Quantum Neural Networks
An Invitation to Distributed Quantum Neural NetworksQuantum Machine Intelligence (QMI), 2022
Lirande Pira
C. Ferrie
245
29
0
14 Nov 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Recent Advances for Quantum Neural Networks in Generative LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
341
127
0
07 Jun 2022
F-Divergences and Cost Function Locality in Generative Modelling with
  Quantum Circuits
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
Chiara Leadbeater
Louis Sharrock
Brian Coyle
Marcello Benedetti
280
12
0
08 Oct 2021
From Digital Humanities to Quantum Humanities: Potentials and
  Applications
From Digital Humanities to Quantum Humanities: Potentials and Applications
Johanna Barzen
AI4CE
191
13
0
17 Mar 2021
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
262
30
0
22 May 2020
Quantum machine learning and quantum biomimetics: A perspective
Quantum machine learning and quantum biomimetics: A perspective
L. Lamata
AI4CE
286
61
0
25 Apr 2020
Parameterized quantum circuits as machine learning models
Parameterized quantum circuits as machine learning modelsQuantum Science and Technology (QST), 2019
Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
609
1,185
0
18 Jun 2019
Quantum autoencoders via quantum adders with genetic algorithms
Quantum autoencoders via quantum adders with genetic algorithms
L. Lamata
U. Alvarez-Rodriguez
J. Martín-Guerrero
M. Sanz
Enrique Solano
246
81
0
21 Sep 2017
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