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.

Bibliografiset tiedot
Päätekijät: Saha, Prashanta Kumar, Saha, Vishal
Muut tekijät: Upoma, Ipshita Bonhi
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2021
Aiheet:
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
Linkit:http://hdl.handle.net/10361/15680

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