Quantum Computing and Quantum Machine Learning - Part 4
What you'll learn
- Quantum Computing
- Quantum Machine Learning
- Quantum Gates
- Machine Learning
- Data Science
- Artificial Intelligence
- Go through the previous 3 parts of Quantum Computing and Quantum Machine Learning Series
Learn state of the Quantum Algorithms, Quantum Circuits and Practicals on Qiskit in the course - Quantum Computing and Quantum Machine Learning - Part 4. Learn some phenomenal concepts such as Fourier Series and Fourier Transform. Ensure you have gone through the pre-requisites, that is you have gone through all the previous parts of Quantum Computing and Quantum Machine Learning i.e. Part 1,2 and 3.
This course will further enhance your understanding about quantum computing and the algorithms that it can solve , there are algorithms such as Deutsch Algorithm, Deutsch Josza Algorithm, Grover's Algorithm, which will see how it can be applied to solve certain challenges which the classical algorithms takes lot of time.
For practicals the library that will see is qiskit and how in real-time use cases these quantum algorithms could be handy.
We will even learn the concept regarding Fourier Series and Fourier Transform, which are immensely used to decode the signal and even check how one signal can be decoded into multiple waves.
In the next series will see algorithms like Shor's Factorization Algorithm which can break the traditional RSA encryption techniques and how one needs to be prepared for Post-Quantum Era. So that in cryptography new algorithms could come and take over. Quantum Cryptography would be an excellent and state of the cryptography which would be unbreakable and cannot be broken. Would be completely a secure and tamper-proof system.
Who this course is for:
- IT Professional
- Big Data Developers
- Machine Learning Developers
- Artificial Intelligence Researchers
- Data Scientists
- Machine Learning Engineer
- Data Engineer
- Data Scientist
A Quantum AI Researcher, Physicist by heart. Over a decade of programming experience across tech stacks. A corporate trainer across Europe, US, Canada and Asia Pac and a cloud architect. Would like to be a buddy for students across subjects like quantum computing, quantum machine learning, artificial Intelligence, Physics and Programming. Would like to create simple and great content for student so that they should be able to grasp the concepts across topics nicely