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2008.07524
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Reinforcement Learning with Quantum Variational Circuits
15 August 2020
Owen Lockwood
Mei Si
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Papers citing
"Reinforcement Learning with Quantum Variational Circuits"
50 / 66 papers shown
A Primer on Quantum Machine Learning
Su Yeon Chang
M. Cerezo
244
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20 Nov 2025
Quantum Reinforcement Learning with Dynamic-Circuit Qubit Reuse and Grover-Based Trajectory Optimization
Thet Htar Su
Shaswot Shresthamali
Masaaki Kondo
189
0
0
19 Sep 2025
From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
Daniel Hein
Simon Wiedemann
Markus Baumann
Patrik Felbinger
Justin Klein
Maximilian Schieder
Jonas Stein
Daniëlle Schuman
Thomas Cope
Steffen Udluft
OffRL
174
0
0
09 Sep 2025
It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles
Junghoon Justin Park
Huan-Hsin Tseng
Shinjae Yoo
Samuel Yen-Chi Chen
Jiook Cha
143
1
0
31 Aug 2025
Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
Yifeng Peng
Xinyi Li
Zhemin Zhang
Samuel Yen-Chi Chen
Zhiding Liang
Ying Wang
165
5
0
25 Aug 2025
Quantum Reinforcement Learning by Adaptive Non-local Observables
Hsin-Yi Lin
Samuel Yen-Chi Chen
Huan-Hsin Tseng
Shinjae Yoo
210
4
0
25 Jul 2025
Learning to Program Quantum Measurements for Machine Learning
Samuel Yen-Chi Chen
Huan-Hsin Tseng
Hsin-Yi Lin
Shinjae Yoo
387
5
0
18 May 2025
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
Samuel Yen-Chi Chen
Chen-Yu Liu
Kuan-Cheng Chen
Wei-Jia Huang
Yen-Jui Chang
Wei-Hao Huang
272
8
0
13 May 2025
Introduction to Quantum Machine Learning and Quantum Architecture Search
International Symposium on Circuits and Systems (ISCAS), 2025
Samuel Yen-Chi Chen
Zhiding Liang
307
4
0
21 Apr 2025
Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers
International Conference on Wireless Communications and Mobile Computing (IWCMC), 2025
Kuan-Cheng Chen
Samuel Yen-Chi Chen
Chen-Yu Liu
Kin K Leung
298
14
0
18 Mar 2025
Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
Samuel Yen-Chi Chen
423
13
0
17 Dec 2024
An Introduction to Quantum Reinforcement Learning (QRL)
Information and Communication Technology Convergence (ICTC), 2024
Samuel Yen-Chi Chen
292
11
0
09 Sep 2024
Quantum Gradient Class Activation Map for Model Interpretability
IEEE Workshop on Signal Processing Systems (SiPS), 2024
Hsin-Yi Lin
Huan-Hsin Tseng
Samuel Yen-Chi Chen
Shinjae Yoo
FAtt
295
16
0
12 Aug 2024
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
International Conference on Quantum Computing and Engineering (QCE), 2024
Siddhant Dutta
Nouhaila Innan
Alberto Marchisio
Sadok Ben Yahia
Muhammad Shafique
AIFin
316
24
0
06 Aug 2024
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
International Conference on Quantum Computing and Engineering (QCE), 2024
Michael Kölle
Daniel Seidl
Maximilian Zorn
Philipp Altmann
Jonas Stein
Thomas Gabor
246
3
0
02 Aug 2024
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
Samuel Yen-Chi Chen
344
23
0
25 Jul 2024
Quantum Implicit Neural Representations
Jiaming Zhao
Wenbo Qiao
Peng Zhang
Hui Gao
511
19
0
06 Jun 2024
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
Michael Kölle
Timo Witter
Tobias Rohe
Gerhard Stenzel
Philipp Altmann
Thomas Gabor
331
9
0
20 May 2024
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
International Conference on Quantum Computing and Engineering (QCE), 2024
Maja Franz
Tobias Winker
Sven Groppe
Wolfgang Mauerer
202
17
0
13 May 2024
Model-based Offline Quantum Reinforcement Learning
Simon Eisenmann
Daniel Hein
Steffen Udluft
Thomas Runkler
271
6
0
14 Apr 2024
Learning to Program Variational Quantum Circuits with Fast Weights
Samuel Yen-Chi Chen
317
24
0
27 Feb 2024
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability
Quantum Machine Intelligence (QMI), 2024
Rodrigo Coelho
André Sequeira
Luis Paulo Santos
266
18
0
21 Jan 2024
Quantum Advantage Actor-Critic for Reinforcement Learning
International Conference on Agents and Artificial Intelligence (ICAART), 2024
Michael Kolle
Mohamad Hgog
Fabian Ritz
Philipp Altmann
Maximilian Zorn
Jonas Stein
Claudia Linnhoff-Popien
301
17
0
13 Jan 2024
Toward Automated Quantum Variational Machine Learning
Omer Subasi
391
3
0
04 Dec 2023
Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis
Hybrid Artificial Intelligence Systems (HAIS), 2023
Erik Terres Escudero
Danel Arias Alamo
Oier Mentxaka Gómez
Pablo García Bringas
362
9
0
23 Nov 2023
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars
Akash Sinha
A. Macaluso
Matthias Klusch
354
20
0
20 Nov 2023
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
AAAI Conference on Artificial Intelligence (AAAI), 2023
Daniel Silver
Tirthak Patel
Aditya Ranjan
Harshitta Gandhi
William Cutler
Devesh Tiwari
353
10
0
26 Sep 2023
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers
AAAI Conference on Artificial Intelligence (AAAI), 2022
Daniel Silver
Tirthak Patel
Devesh Tiwari
198
35
0
26 Sep 2023
Efficient quantum recurrent reinforcement learning via quantum reservoir computing
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Samuel Yen-Chi Chen
329
18
0
13 Sep 2023
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications
Zhanglu Yan
Shida Wang
Kaiwen Tang
Wong-Fai Wong
213
2
0
16 Aug 2023
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
IEEE Communications Magazine (IEEE Commun. Mag.), 2023
Soohyun Park
Jae Pyoung Kim
C. Park
Soyi Jung
Joongheon Kim
259
48
0
03 Aug 2023
Quantum deep Q learning with distributed prioritized experience replay
International Conference on Quantum Computing and Engineering (QCE), 2023
Samuel Yen-Chi Chen
BDL
259
11
0
19 Apr 2023
Quantum Imitation Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zhihao Cheng
Kaining Zhang
Li Shen
Dacheng Tao
192
3
0
04 Apr 2023
Quantum Deep Hedging
Quantum (Quantum), 2023
El Amine Cherrat
S. Raj
Iordanis Kerenidis
Abhishek Shekhar
Ben Wood
...
Pierre Minssen
Ruslan Shaydulin
Yue Sun
Romina Yalovetzky
Marco Pistoia
314
39
0
29 Mar 2023
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
IEEE Internet of Things Journal (IEEE IoT J.), 2023
C. Park
Won Joon Yun
Jae Pyoung Kim
Tiago Koketsu Rodrigues
Soohyun Park
Soyi Jung
Joongheon Kim
350
58
0
09 Feb 2023
Asynchronous training of quantum reinforcement learning
Samuel Yen-Chi Chen
OffRL
371
41
0
12 Jan 2023
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Won Joon Yun
Jae Pyoung Kim
Soyi Jung
Jae-Hyun Kim
Joongheon Kim
OffRL
331
52
0
04 Jan 2023
Quantum policy gradient algorithms
Theory of Quantum Computation, Communication, and Cryptography (TQC), 2022
Sofiene Jerbi
A. Cornelissen
M. Ozols
Vedran Dunjko
170
18
0
19 Dec 2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding
Won Joon Yun
Jae Pyoung Kim
Hankyul Baek
Soyi Jung
Jihong Park
M. Bennis
Joongheon Kim
293
11
0
04 Dec 2022
A Survey on Quantum Reinforcement Learning
Nico Meyer
Christian Ufrecht
Maniraman Periyasamy
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
AI4CE
LRM
515
90
0
07 Nov 2022
Reservoir Computing via Quantum Recurrent Neural Networks
Samuel Yen-Chi Chen
D. Fry
Amol Deshmukh
V. Rastunkov
Charlee Stefanski
363
26
0
04 Nov 2022
Quantum deep recurrent reinforcement learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Samuel Yen-Chi Chen
357
31
0
26 Oct 2022
QuAnt: Quantum Annealing with Learnt Couplings
International Conference on Learning Representations (ICLR), 2022
Marcel Seelbach Benkner
Maximilian Krahn
Edith Tretschk
Zorah Lähner
Michael Moeller
Vladislav Golyanik
298
6
0
13 Oct 2022
Quantum Multi-Agent Meta Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Won Joon Yun
Jihong Park
Joongheon Kim
421
50
0
22 Aug 2022
Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning
Simon Wiedemann
D. Hein
Steffen Udluft
C. Mendl
263
33
0
09 Jun 2022
Equivariant quantum circuits for learning on weighted graphs
npj Quantum Information (NQI), 2022
Andrea Skolik
Michele Cattelan
S. Yarkoni
Thomas Bäck
Vedran Dunjko
351
91
0
12 May 2022
Policy Gradients using Variational Quantum Circuits
Quantum Machine Intelligence (QMI), 2022
André Sequeira
L. Santos
Luis Soares Barbosa
411
29
0
20 Mar 2022
Quantum Reinforcement Learning via Policy Iteration
Quantum Machine Intelligence (QMI), 2022
El Amine Cherrat
Iordanis Kerenidis
A. Prakash
279
38
0
03 Mar 2022
Quantum Deep Reinforcement Learning for Robot Navigation Tasks
IEEE Access (IEEE Access), 2022
Hans Hohenfeld
D. Heimann
Felix Wiebe
Frank Kirchner
283
47
0
24 Feb 2022
Cyber-Physical Defense in the Quantum Era
Scientific Reports (Sci Rep), 2022
Michel Barbeau
Joaquín García
205
17
0
21 Feb 2022
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