Descriptions
QC101 Quantum Computing and Introduction to Quantum Machine Learning, Quantum computer Is the next wave of the software industry. Quantum computers are exponentially faster than today’s classical computers. Problems that were considered too difficult for computers to solve, such as simulating protein folding in biological systems and cracking RSA encryption, are now possible with quantum computers. Companies How Google, Intel, IBM and Microsoft are investing billions in building quantum computers. If you master quantum computing now, you are ready to benefit from this technological revolution. Quantum machine Learning algorithms significantly speed up training. This acceleration can lead to more accurate predictions. While Understanding Quantum Algorithms require mastery of complex mathematics, using quantum learning is relatively simple. Qiskit encapsulates machine learning algorithms in an API that mimics the popular machine learning toolkit Scikit-Learn, so you can use quantum machine learning almost as easily as traditional ML! Quantum machine The learning can be applied in the back-end to train models, and those trained models can be used in consumer devices. This means that quantum machine learning could improve your everyday life, even if quantum computers remain expensive!-
What you will learn
- Use quantum cryptography to communicate securely
- Develop, simulate and debug quantum programs on IBM Qiskit and Microsoft Q#
- Run quantum programs on a real quantum computer with IBM Quantum Experience
- Use Dirac’s notation and quantum physics models to analyze quantum circuits
- Train a Quantum Support Vector Machine (Quantum Machine Learning) on real data and use it to make predictions
- Learn data science and how quantum computing can help with artificial intelligence/machine learning
- Learn why machine learning will be the killer app for quantum computing
Who is this course suitable for?
- Software professionals and technical managers who want to learn quantum computing and enjoy math and physics
- Machine learning and AI professionals who want to learn how quantum computing can be used in data science
Specifications of QC101 Quantum Computing and Introduction to Quantum Machine Learning
- Publisher : Udemy
- Teacher: Kumaresan Ramanathan
- Language: English
- Level: All levels
- Number of courses: 284
- Duration: 11 hours and 52 minutes
Content from 2023-10
Requirements
- Mathematics and physics of the 12th grade of the secondary school
- You must have studied math and physics up to grade 12 and *enjoyed* it. Quantum computing is mostly math and physics. Very little coding is required.
- 12th grade, upper secondary mathematics: complex numbers, linear algebra, probability, statistics and Boolean logic
Pictures
Sample clip
installation Guide
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Subtitles: English
Quality: 720p
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Password file(s): free download software
File size
3.76GB