Course Outline

Introduction

Quantum Information Theory

  • The Uncertainty Principle
  • Superposition and Entanglement
  • Subatomic Particles

Overview of Classic Computers

  • Bits
  • Binary Systems
  • Transistors

Quantum Computing

  • Topological Codes
  • Circuit Quantum Electrodynamics (QED)
  • Qubits

Understanding Quantum Computers and NISQ Processors

  • Algorithms for the Noisy Intermediate-Scale Quantum (NISQ) Architecture

Overview of Cirq Framework

Overview of Quantum Development Kits

Setting Up the Quantum Development Environment for Government

Cirq Data Structures and Syntax

Preparing the Quantum Machine Simulator for Government Use

Case Study: Low-Depth Quantum Algorithms for Quantum Chemistry Problems

Writing a Quantum Algorithm for Government Applications

Controlling Quantum Circuits for Government Operations

Specifying Gate Behavior and Placement in Government Systems

Scheduling the Timing of Gates for Government Processes

Compiling the Algorithm for Government Use

Dealing with the Constraints of Quantum Hardware for Government Projects

Running the Algorithm on a Local Simulator for Government Testing

Testing and Debugging an Algorithm for Government Standards

Integration with Cloud Simulators for Government Operations

Integration with Future Quantum Hardware for Government Advancement

Troubleshooting for Government Applications

The Future of Quantum Computing for Government

Summary and Conclusion

Requirements

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

Audience

  • Developers
  • Scientists
  • Engineers
 21 Hours

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