ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.17760
  4. Cited By
Learning to Program Variational Quantum Circuits with Fast Weights

Learning to Program Variational Quantum Circuits with Fast Weights

27 February 2024
Samuel Yen-Chi Chen
ArXivPDFHTML

Papers citing "Learning to Program Variational Quantum Circuits with Fast Weights"

16 / 16 papers shown
Title
Learning to Program Quantum Measurements for Machine Learning
Learning to Program Quantum Measurements for Machine Learning
Samuel Yen-Chi Chen
Huan-Hsin Tseng
Hsin-Yi Lin
Shinjae Yoo
114
0
0
18 May 2025
Learning to Measure Quantum Neural Networks
Learning to Measure Quantum Neural Networks
Samuel Yen-Chi Chen
Huan-Hsin Tseng
Hsin-Yi Lin
Shinjae Yoo
75
5
0
10 Jan 2025
Quantum Advantage Actor-Critic for Reinforcement Learning
Quantum Advantage Actor-Critic for Reinforcement Learning
Michael Kolle
Mohamad Hgog
Fabian Ritz
Philipp Altmann
Maximilian Zorn
Jonas Stein
Claudia Linnhoff-Popien
61
7
0
13 Jan 2024
Applying QNLP to sentiment analysis in finance
Applying QNLP to sentiment analysis in finance
Jonas Stein
Ivo Christ
Nico Kraus
M. Mansky
Robert Muller
Claudia Linnhoff-Popien
86
25
0
20 Jul 2023
Variational Quantum Soft Actor-Critic
Variational Quantum Soft Actor-Critic
Qingfeng Lan
46
21
0
20 Dec 2021
Generalization in quantum machine learning from few training data
Generalization in quantum machine learning from few training data
Matthias C. Caro
Hsin-Yuan Huang
M. Cerezo
Kunal Sharma
A. Sornborger
L. Cincio
Patrick J. Coles
87
372
0
09 Nov 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
70
47
0
06 Oct 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Samuel Yen-Chi Chen
Chih-Min Huang
Chia-Wei Hsing
H. Goan
Y. Kao
78
85
0
01 Sep 2021
The power of quantum neural networks
The power of quantum neural networks
Amira Abbas
David Sutter
Christa Zoufal
Aurelien Lucchi
Alessio Figalli
Stefan Woerner
108
752
0
30 Oct 2020
Decentralizing Feature Extraction with Quantum Convolutional Neural
  Network for Automatic Speech Recognition
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
Chao-Han Huck Yang
Jun Qi
Samuel Yen-Chi Chen
Pin-Yu Chen
Sabato Marco Siniscalchi
Xiaoli Ma
Chin-Hui Lee
FedML
57
127
0
26 Oct 2020
Quantum Long Short-Term Memory
Quantum Long Short-Term Memory
Samuel Yen-Chi Chen
Shinjae Yoo
Yao-Lung L. Fang
59
164
0
03 Sep 2020
Reinforcement Learning with Quantum Variational Circuits
Reinforcement Learning with Quantum Variational Circuits
Owen Lockwood
Mei Si
57
138
0
15 Aug 2020
Recurrent Quantum Neural Networks
Recurrent Quantum Neural Networks
Johannes Bausch
51
154
0
25 Jun 2020
Learning to learn with quantum neural networks via classical neural
  networks
Learning to learn with quantum neural networks via classical neural networks
Guillaume Verdon
Michael Broughton
Jarrod R. McClean
Kevin J Sung
Ryan Babbush
Zhang Jiang
Hartmut Neven
Masoud Mohseni
43
196
0
11 Jul 2019
Variational Quantum Circuits for Deep Reinforcement Learning
Variational Quantum Circuits for Deep Reinforcement Learning
Samuel Yen-Chi Chen
Chao-Han Huck Yang
Jun Qi
Pin-Yu Chen
Xiaoli Ma
H. Goan
81
306
0
30 Jun 2019
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
197
8,851
0
04 Feb 2016
1