Quantum Computing and Quantum Machine Learning – Part 3
What you’ll learn

Quantum Physics

Quantum Computing

Quantum Machine Learning

Algebra

Calculus

Programming

Python

Quantum Gates

Electronics

Machine Learning

Data Science

Artificial Intelligence

Physics

Mathematics
Requirements

Basic Python

Quantum Computing and Quantum Machine Learning – Part 1

Quantum Computing and Quantum Machine Learning – Part 2
Description
Quantum Computing and Quantum Machine Learning – Part 3 , is the continuation from what was taught in Part 1 and Part 2. This is going to be the new era of computation/ physics. Enroll for an enriching career in Quantum Research and learn Pythonic Libraries like Qiskit to operate with Quantum Gates and Quantum Circuits in depth. A fantastic computing era to join. In this course will see how to generate quantum circuits using quantum gates like CNOT, Hadamard, SWAP etc. This course sets the correct path in order to study Quantum Cryptography in depth and in the later series will move towards Quantum Machine Learning and libraries of Google like CIRQ.
Will see how to handle quantum circuits using quantum as well as classical channel. Applications of Quantum Teleportation and Super Dense Coding and a very important theorem called as No Cloning Theorem. Quantum computing is the use of quantum phenomena such as superposition and entanglement to perform computation. Computers that perform quantum computations are known as quantum computers.
In the classical view, one entry would have a value of 1 (i.e. a 100% probability of being in this state) and all other entries would be zero. In quantum mechanics, probability vectors are generalized to density operators. This is the technically rigorous mathematical foundation for quantum logic gates, but the intermediate quantum state vector formalism is usually introduced first because it is conceptually simpler.
Who this course is for:
 Developers
 Data Scientists
 Machine Learning Engineer
 Artificial Intelligence Researchers
 Data Engineer
 Researchers
 Scientists
 Physicists
 Mathematicians
 Deep Learning
 Deep Learning Engineers
 Reinforcement Learning
 Programmers
 Python Developers
Sales Page:
thanks for the uploading the course, can you please upload the part 4 too?
regards
Our pleasure sir, will post that one too,
coursesghar team