Course Outline
Introduction
Overview of Quantum Physics Theories Applied in Quantum Computing
- Fundamentals of quantum superposition
- Fundamentals of quantum entanglement
- Mathematical foundations of quantum computing
Overview of Quantum Computing
- Distinguishing quantum computing from classical electronic computing
- Integrating quantum behaviors into quantum computing
- The Qubit
- Implementing Dirac notation
- Computational basis measurements in quantum computing
- Quantum circuits and quantum oracles
Working with Vectors and Matrices in Quantum Computing
- Matrix multiplication using quantum physics principles
- Conventions of tensor products
Applying Advanced Matrix Concepts to Quantum Computing
Overview of Quantum Computers and Quantum Simulators
- Quantum hardware and its components
- Running a quantum simulator
- Executable quantum mechanisms in a quantum simulation
- Performing quantum computations on a quantum computer
Working with Quantum Computing Models
- Logic and functions of various quantum gates
- Understanding the effects of superposition and entanglement on quantum gates
Utilizing Shor's Algorithm and Quantum Computing Cryptography
Implementing Grover's Algorithm in Quantum Computing
Estimating a Quantum Phase in a Quantum Computer
- The quantum Fourier transform
Writing Basic Quantum Computing Algorithms and Programs for a Quantum Computer
- Selecting the appropriate tools and languages for quantum computing
- Setting up quantum circuits and specifying quantum gates
Compiling and Running Quantum Algorithms and Programs on a Quantum Computer
Testing and Debugging Quantum Algorithms and Quantum Computer Programs
Identifying and Correcting Algorithm Errors Using Quantum Error Correction (QEC)
Overview of Quantum Computing Hardware and Architecture
Integrating Quantum Algorithms and Programs with Quantum Hardware
Troubleshooting
Advancing Quantum Computing for Future Quantum Information Science Applications
Summary and Conclusion
Requirements
- Familiarity with mathematical methods in probability theory and linear algebra.
- Understanding of foundational computer science theories and algorithms.
- Basic knowledge of quantum physics concepts.
- Introductory experience with quantum mechanics models and theories.
Target Audience
- Computer Scientists
- Engineers
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!
