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.

Bibliografiske detaljer
Main Authors: Saha, Prashanta Kumar, Saha, Vishal
Andre forfattere: Upoma, Ipshita Bonhi
Format: Thesis
Sprog:English
Udgivet: Brac University 2021
Fag:
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
Online adgang:http://hdl.handle.net/10361/15680

Internet

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

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