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Course Outline
Introduction
Quantum Information Theory
- The uncertainty theory
- Superposition and entanglement
- Subatomic particles
Overview of Classic Computers
- Bits
- Binary systems
- Transistors
Quantum Computing
- Topological codes
- Circuit QED
- Quibits
Understanding Quantum Computers and NISQ Processors
- Algorithms for the NISQ Architecture
Overview of Cirq Framework
Overview of Quantum Development Kits
Setting Up the Quantum Development Environment
Cirq Data Structures and Syntax
Preparing the Quantum Machine Simulator
Case Study: Low Depth Quantum Algorithms for Quantum Chemistry Problems
Writing a Quantum Algorithm
Controlling Quantum Circuits
Specifying Gate Behavior and Placement
Scheduling the Timing of Gates
Compiling the Algorithm
Dealing with the Constraints of Quantum Hardware
Running the Algorithm on a Local Simulator
Testing and Debugging an Algorithm
Integration with Cloud Simulators
Integration with Future Quantum Hardware
Troubleshooting
The Future of Quantum Computing
Summary and Conclusion
Requirements
- An understanding of software and hardware computing concepts.
- An understanding of complex numbers and linear algebra.
Audience
- Developers
- Scientists
- Engineers
Testimonials
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!