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.

Bibliografski detalji
Glavni autori: Saha, Prashanta Kumar, Saha, Vishal
Daljnji autori: Upoma, Ipshita Bonhi
Format: Disertacija
Jezik:English
Izdano: Brac University 2021
Teme:
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 pristup:http://hdl.handle.net/10361/15680

Internet

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

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