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.

Бібліографічні деталі
Автори: Saha, Prashanta Kumar, Saha, Vishal
Інші автори: Upoma, Ipshita Bonhi
Формат: Дисертація
Мова:English
Опубліковано: Brac University 2021
Предмети:
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
Онлайн доступ:http://hdl.handle.net/10361/15680

Інтернет

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

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