Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning

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.

書目詳細資料
Main Authors: Saha, Prashanta Kumar, Saha, Vishal
其他作者: Upoma, Ipshita Bonhi
格式: Thesis
語言:English
出版: Brac University 2021
主題:
Quantum computing
Reinforcement learning
Quantum Machine Learning (QML)
Quantum Variational Circuit (QVC)
Deep Q-Network (DQN)
Double Deep Q-Network (DDQN)
OpenAI Gym
IBM-Q
TensorFlow Quantum
Data mining
Quantum theory
Machine learning
在線閱讀:http://hdl.handle.net/10361/15680

因特網

http://hdl.handle.net/10361/15680

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