Get started with Azure Quantum

In this module, you will:

• Discover what the Azure Quantum service has to offer: quantum computing and optimization.
• Prepare your Azure account to use Azure Quantum.
• Create an Azure Quantum workspace.
• Learn about application domains for Azure Quantum.

In this module you will:

• Prepare your development environment for writing quantum programs in Q#.
• Work with qubits and superposition to build a quantum random number generator.
• Understand how Q# programs are structured.

After completing this module, you'll be able to:

• Explain the basic theory behind the power of quantum computing, including concepts like superposition, interference, and entanglement.
• Inspect quantum states when you run code in simulated quantum computers.
• Estimate the quantum resources that you need to run your programs.
• Explore algorithms that use quantum properties to outperform classical algorithms.

After completing this module, you'll be able to:

• Build quantum oracles that implement classical functions on a quantum computer.
• Explain the roles superposition, interference, and entanglement play in building quantum algorithms.
• Write a Q# program that uses Grover's search algorithm to solve a graph coloring problem.
• Recognize the kinds of problems for which Grover's search algorithm can offer speedup compared to classical algorithms.

In this module, you will:

• Learn about libraries in Q#, specifically how they're distributed and how to add them to your projects.
• Use the Q# standard library to express quantum algorithms at a high level.
• Get to know the API documentation and integrated help capabilities to more efficiently find and use Q# functionality.
• Write API documentation comments to help document and explain your Q# programs.

After completing this module, you'll be able to:

• Differentiate and comprehend the main hardware solutions for quantum computers.
• Understand how Azure Quantum provides you with access to quantum devices to run quantum algorithms.
• Adapt and create Q# applications to run them in Azure Quantum.
• Submit and manage quantum computing jobs in Azure Quantum in your preferred environment: Python, Jupyter, or the Azure CLI.

In this module, you'll:

• Learn about the origins of quantum-inspired algorithms.
• See which kinds of problems are best suited to this method.
• Understand how algorithms inspired by physical processes are used to solve difficult problems.
• Solve a combinatorial optimization problem by using the Azure Quantum optimization service.

After completing this module, you'll be able to:

• Identify and build problem constraints for the job shop scheduling problem
• Convert problem constraints to a penalty model
• Learn how to represent the penalty model using Azure Quantum
• Solve optimization problems using Azure Quantum

• Introduction
• Azure Quantum structure overview
• Create your first Azure Quantum workspace
• Case studies for quantum computing
• Case studies for optimization
• Knowledge check
• Summary

• Introduction
• Exercise - Install the QDK for Visual Studio Code
• Exercise - Create a quantum random bit generator
• Exercise - Create a quantum random number generator
• How are Q# programs structured?
• Knowledge check
• Summary

• Introduction
• Superposition in quantum computing
• Exercise - Explore superposition by using Q#
• Interference in quantum computing
• Exercise - Explore interference by using Q#
• Entanglement in quantum computing
• Exercise - Explore entanglement by using Q#
• Introduction to quantum algorithms
• Knowledge check
• Summary

• Introduction
• The search problem
• How to implement classical computation on a quantum computer
• Exercise - Implement a quantum oracle for graph coloring problem
• Grover's search algorithm
• Exercise - Implement Grover's algorithm to solve graph coloring problem
• Potential applications of Grover's algorithm in practice
• Knowledge check
• Summary

• Introduction
• Q# libraries
• Q# API documentation
• Exercise - Write an oracle to validate ISBNs
• Exercise - Run Grover's algorithm
• Exercise - Write your own documentation
• Knowledge check
• Summary

• Introduction
• Quantum hardware overview
• Exercise – Submit a job to Azure Quantum
• Different targets in Azure Quantum
• Exercise – Use the Quantum Development Kit to create Q# applications for Azure Quantum
• Continue experimenting with Azure Quantum
• Knowledge check
• Summary

• Introduction
• What is quantum-inspired optimization?
• Optimization basics
• How does QIO solve problems?
• Apply QIO to a real-world problem
• Knowledge check
• Summary

• Introduction
• Problem formulation
• The precedence constraint
• The operation-once constraint
• The no-overlap constraint
• Minimizing the makespan
• Putting it all together
• Solving the problem
• Validating the solution
• Tuning problem parameters
• Knowledge check
• Summary