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.

Xehetasun bibliografikoak
Egile Nagusiak: Saha, Prashanta Kumar, Saha, Vishal
Beste egile batzuk: Upoma, Ipshita Bonhi
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2021
Gaiak:
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
Sarrera elektronikoa:http://hdl.handle.net/10361/15680

Internet

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

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