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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Saha, Prashanta Kumar, Saha, Vishal
مؤلفون آخرون: Upoma, Ipshita Bonhi
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2021
الموضوعات:
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
الوصول للمادة أونلاين:http://hdl.handle.net/10361/15680

مواد مشابهة

مواد مشابهة