Variational Quantum Reinforcement Learning via Evolutionary Optimization

Variational Quantum Reinforcement Learning via Evolutionary Optimization

1 September 2021

Samuel Yen-Chi Chen

Papers citing "Variational Quantum Reinforcement Learning via Evolutionary Optimization"

12 / 12 papers shown

Title
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization Michael Kolle Felix Topp Thomy Phan Philipp Altmann Jonas Nusslein Claudia Linnhoff-Popien AI4CE 41 5 0 03 Jan 2025
CHARME: A chain-based reinforcement learning approach for the minor embedding problem Hoang M. Ngo Nguyen H K. Do Minh Nhat Vu Tamer Kahveci My T. Thai AI4CE 19 2 0 11 Jun 2024
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits Hoang-Quan Nguyen Xuan-Bac Nguyen Samuel Yen-Chi Chen Hugh Churchill Nicholas Borys Samee U. Khan Khoa Luu DiffM 35 5 0 02 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 13 2 0 20 May 2024
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning Yize Sun Yunpu Ma Volker Tresp 13 9 0 19 Sep 2023
Quantum policy gradient algorithms Sofiene Jerbi A. Cornelissen M. Ozols Vedran Dunjko 19 11 0 19 Dec 2022
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks Jun Qi Javier Tejedor 21 43 0 17 Oct 2021
The Dawn of Quantum Natural Language Processing R. Sipio Jia-Hong Huang Samuel Yen-Chi Chen Stefano Mangini M. Worring 48 79 0 13 Oct 2021
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series Annie E. Paine V. Elfving Oleksandr Kyriienko 14 22 0 06 Aug 2021
Noisy intermediate-scale quantum (NISQ) algorithms Kishor Bharti Alba Cervera-Lierta T. Kyaw Tobias Haug Sumner Alperin-Lea ... Tim Menke Wai-Keong Mok Sukin Sim L. Kwek Alán Aspuru-Guzik 98 354 0 21 Jan 2021
Modeling Sequences with Quantum States: A Look Under the Hood T. Bradley Miles E. Stoudenmire John Terilla 47 48 0 16 Oct 2019
From probabilistic graphical models to generalized tensor networks for supervised learning I. Glasser Nicola Pancotti J. I. Cirac AI4CE 43 73 0 15 Jun 2018