Description
QC101 Quantum Computing & Intro to Quantum Machine Learning, the training course on quantum computing and introduction to quantum machine learning is published by Udemy Academy. Quantum computing is the next wave of the software industry. Quantum computers are much faster than today’s classical computers. Problems that seemed too difficult for computers to solve, such as simulating protein folding in biological systems and breaking RSA encryption, are now possible with quantum computers. Companies like Google, Intel, IBM and Microsoft are investing billions of dollars to build quantum computers. If you master quantum computing now, you will be ready to take advantage of this technological revolution. Quantum machine learning algorithms provide significant speed in training. This increased speed can lead to more accurate predictions.
While understanding quantum algorithms requires mastery of complex mathematics, using quantum machine learning is relatively simple. Qiskit encapsulates machine learning algorithms into an API that emulates the popular Scikit-Learning machine learning toolkit. So you can use quantum machine learning almost like traditional ML. Quantum machine learning can be used to train models and these trained models can be used in consumer devices. This means that quantum machine learning may improve your everyday life even if quantum computers remain expensive.
What you will learn
- Using quantum cryptography for secure communication
- Development, simulation and debugging of quantum applications in IBM Qiskit and Microsoft #Q
- Running quantum programs on a real quantum computer through the IBM Quantum Experiment
Using Dirac models and quantum physics to analyze quantum circuits - Train quantum support vector machine (quantum machine learning) on real world data and use it for prediction.
- Learn about data science and how quantum computing can help artificial intelligence and machine learning
- You will learn why machine learning will be a good fit 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 artificial intelligence professionals who want to learn how quantum computing can be used in data science
Course specifications QC101 Quantum Computing & Intro to Quantum Machine Learning
- Publisher: Udemy
- teacher : Kumaresan Ramanathan
- English language
- Education level: all levels
- Number of courses: 284
- Training duration: 11 hours and 52 minutes
Head of the course seasons on 2023-10
Course prerequisites
- 12th grade high-school level Math and Physics
- You must have studied Math and Physics up to 12th grade level and *enjoyed* it. Quantum Computing is primarily about Math & Physics. There is very little coding involved.
- 12th grade level, high school Math: Complex numbers, linear algebra, probability, statistics, & boolean logic
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.76 GB
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