Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Main Authors: | Saha, Prashanta Kumar, Saha, Vishal |
---|---|
其他作者: | Upoma, Ipshita Bonhi |
格式: | Thesis |
语言: | English |
出版: |
Brac University
2021
|
主题: | |
在线阅读: | http://hdl.handle.net/10361/15680 |
相似书籍
-
Quantum error correction using quantum convolutional neural network
由: Mishu, Niloy Deb Roy, et al.
出版: (2021) -
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
由: Ahmed, Sajjad
出版: (2019) -
Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track
由: Issa, Razin Bin, et al.
出版: (2020) -
Enhancing object clarity in single channel night vision images using deep reinforcement learning
由: Hossain, Adil, et al.
出版: (2021) -
The Mathematical language of Quantum Theory
由: Teiko Heinosaari, Mário Ziman
出版: (2012)