Course Outline


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


The Future of Quantum Computing
Summary and Conclusion


  • An understanding of software and hardware computing concepts.
  • An understanding of complex numbers and linear algebra.


  • Developers
  • Scientists
  • Engineers
  21 Hours


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