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.

Chi tiết về thư mục
Những tác giả chính: Saha, Prashanta Kumar, Saha, Vishal
Tác giả khác: Upoma, Ipshita Bonhi
Định dạng: Luận văn
Ngôn ngữ:English
Được phát hành: Brac University 2021
Những chủ đề:
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
Truy cập trực tuyến:http://hdl.handle.net/10361/15680

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