This course introduces learners to the potential of quantum computing with regards to cybersecurity, chemistry, and optimization. Learners have a front row seat to demonstrations and simulations of quantum algorithms with multiple real-world case studies. Understand the key differences between quantum and classical algorithms and get hands-on experience with quantum search algorithms using the IBM Q Experience.
Key Concepts:
- Knowledge of potential performance gains enabled by quantum algorithms, over classical algorithms, for cybersecurity, chemistry, and optimization
- Gain proficiency with the engineering requirements for implementing quantum vs classical algorithms
- Familiarize yourself with the scientific limits faced by quantum algorithms for chemistry and optimization
- Summarize the technology requirements for quantum computers to be able to run realistically large quantum algorithms