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Course Outline
Introduction
Quantum Information Theory
- The uncertainty theory
- Superimposition and entanglement
- Subatomic particles
Overview of Classic Computers
- Bits
- Binary systems
- Transistors
Quantum Computing
- Topological codes
- Circuit QED
- Quibits
IBM Quantum Experiences and Python Frameworks
- Modules and processes used in quantum computing
- Quantum circuit simulations
- Circuit composer
- Qiskit Notebooks
Preparing the Development Environment
- Installing and configuring Anaconda
- Installing and configuring pip and Python packages
- Installing Qiskit
- Configuring IBM Quantum Experience
- Configuring the IDE as the project manager
- Setting up a version control center (GitHub)
Building QER Circuits in Circuit Composer
- Applying gates
- Measuring quibits
- Saving and running the QER Circuits
Coding QER Circuits in Qiskit Notebooks
- Implementing a noisy simulation
- Coding a noisy circuit
- Implementing a quantum circuit for Quantum Fourier Transform on 4 quibits
- Creating a basic algorithm in a quantum circuit
- Coding a quantum teleport circuit
Testing the Cirquits
- Running the QER circuits on a real IBM quantum device
- Analyzing the displayed outcomes
Summary and Conclusion
Requirements
- An understanding of Python programming
Audience
- Computer scientists
14 Hours
Testimonials (1)
Quantum computing algorithms and related theoretical background know-how of the trainer is excellent. Especially I'd like to emphasize his ability to detect exactly when I was struggling with the material presented, and he provided time&support for me to really understand the topic - that was great and very beneficial! Virtual setup with Zoom worked out very well, as well as arrangements regarding training sessions and breaks sequences. It was a lot of material/theory to cover in "only" 2 days, wo the trainer had nicely adjusted the amount according to the progress related to my understanding of the topics. Maybe planning 3 days for absolute beginners would be better to cover all the material and content outlined in the agenda. I very much liked the flexibility of the trainer to answer my specific questions to the training topics, even additionally coming back after the breaks with more explanation in case neccessary. Big thank you again for the sessions! Well done!
