Course Outline
Introduction
Quantum Information Theory
- The uncertainty principle
- Superposition and entanglement
- Subatomic particles
Overview of Classical Computers
- Bits
- Binary systems
- Transistors
Quantum Computing
- Topological codes
- Circuit QED
- Qubits
Understanding Quantum Computers and NISQ Processors
- Algorithms for the NISQ Architecture
Overview of the 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 Behaviour and Placement
Scheduling Gate Timing
Compiling the Algorithm
Dealing with Quantum Hardware Constraints
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
