ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.10591
  4. Cited By
Policy Gradients using Variational Quantum Circuits
v1v2v3 (latest)

Policy Gradients using Variational Quantum Circuits

Quantum Machine Intelligence (QMI), 2022
20 March 2022
André Sequeira
L. Santos
Luis Soares Barbosa
ArXiv (abs)PDFHTMLGithub

Papers citing "Policy Gradients using Variational Quantum Circuits"

14 / 14 papers shown
Formal Verification of Noisy Quantum Reinforcement Learning Policies
Formal Verification of Noisy Quantum Reinforcement Learning Policies
Dennis Gross
183
0
0
01 Dec 2025
Dissecting Quantum Reinforcement Learning: A Systematic Evaluation of Key Components
Dissecting Quantum Reinforcement Learning: A Systematic Evaluation of Key Components
Javier Lazaro
Juan-Ignacio Vazquez
Pablo Garcia-Bringas
161
1
0
21 Nov 2025
A Primer on Quantum Machine Learning
A Primer on Quantum Machine Learning
Su Yeon Chang
M. Cerezo
245
7
0
20 Nov 2025
Scalable Quantum Reinforcement Learning on NISQ Devices with Dynamic-Circuit Qubit Reuse and Grover Optimization
Scalable Quantum Reinforcement Learning on NISQ Devices with Dynamic-Circuit Qubit Reuse and Grover Optimization
Thet Htar Su
Shaswot Shresthamali
Masaaki Kondo
LRM
190
0
0
19 Sep 2025
HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits
HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits
Ahmad Alomari
Sathish A. P. Kumar
148
0
0
28 Aug 2025
GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits
GPA: Grover Policy Agent for Generating Optimal Quantum Sensor CircuitsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Ahmad Alomari
Sathish A. P. Kumar
270
3
0
20 Feb 2025
Trainability issues in quantum policy gradients
Trainability issues in quantum policy gradientsInternational Conference on Quantum Computing and Engineering (QCE), 2024
André Sequeira
Luis Paulo Santos
Luis Soares Barbosa
242
3
0
13 Jun 2024
A Study on Optimization Techniques for Variational Quantum Circuits in
  Reinforcement Learning
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
Michael Kölle
Timo Witter
Tobias Rohe
Gerhard Stenzel
Philipp Altmann
Thomas Gabor
332
9
0
20 May 2024
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and
  Trainability
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and TrainabilityQuantum Machine Intelligence (QMI), 2024
Rodrigo Coelho
André Sequeira
Luis Paulo Santos
268
18
0
21 Jan 2024
On Quantum Natural Policy Gradients
On Quantum Natural Policy GradientsIEEE Transactions on Quantum Engineering (IEEE Trans. Quantum Eng.), 2024
André Sequeira
Luis Paulo Santos
Luis Soares Barbosa
243
1
0
16 Jan 2024
Quantum Advantage Actor-Critic for Reinforcement Learning
Quantum Advantage Actor-Critic for Reinforcement LearningInternational Conference on Agents and Artificial Intelligence (ICAART), 2024
Michael Kolle
Mohamad Hgog
Fabian Ritz
Philipp Altmann
Maximilian Zorn
Jonas Stein
Claudia Linnhoff-Popien
306
17
0
13 Jan 2024
Quantum policy gradient algorithms
Quantum policy gradient algorithmsTheory of Quantum Computation, Communication, and Cryptography (TQC), 2022
Sofiene Jerbi
A. Cornelissen
M. Ozols
Vedran Dunjko
170
18
0
19 Dec 2022
Quantum reinforcement learning in continuous action space
Quantum reinforcement learning in continuous action spaceQuantum (Quantum), 2020
Shaojun Wu
Shan Jin
Dingding Wen
Donghong Han
Xiaoting Wang
LRM
534
62
0
19 Dec 2020
Universal Statistics of Fisher Information in Deep Neural Networks: Mean
  Field Approach
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida
S. Akaho
S. Amari
FedML
685
171
0
04 Jun 2018
1
Page 1 of 1