ResearchTrend.AI
Variational quantum compiling with double Q-learning

Variational quantum compiling with double Q-learning

Zhimin He
Lvzhou Li
Shenggen Zheng
Yongyao Li
Haozhen Situ
ArXivPDFHTML

Papers citing "Variational quantum compiling with double Q-learning"

5 / 5 papers shown
Title
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
Chuangtao Chen
Qinglin Zhao
Mengchu Zhou
Zhimin He
Haozhen Situ
DiffM
71
0
0
08 May 2025
Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
David Kremer
Victor Villar
Hanhee Paik
Ivan Duran
Ismael Faro
Juan Cruz-Benito
54
17
0
21 May 2024
Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits
Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits
M. Cerezo
A. Sone
T. Volkoff
L. Cincio
Patrick J. Coles
26
124
0
02 Jan 2020
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
Zhaobai Zhong
Zichen Yang
Boyang Deng
Junjie Yan
Wei Wu
Jing Shao
Cheng-Lin Liu
29
114
0
16 Aug 2018
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
78
7,590
0
22 Sep 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.