Quantum Computing Fundamentals with Microsoft Azure Quantum

Explore key glossary terms in quantum computing, including the qubit as the basic unit of quantum information, auxiliary qubits, Azure resource manager, resource group, and oracle for runtime data-dependent outputs.

Explore glossary terms in quantum computing, detailing a quantum state as a three-dimensional vector on a sphere, entanglement, and immutable versus mutable variables with set usage.

Explore glossary terms such as the quantum development kit cubic and the Microsoft software development kit for quantum applications on Azure Quantum, including quantum inspired optimization and quantum state.

A quantum program is a set of classical subroutines that interact with the quantum system to perform computation. Killshot models this interface with cubits, agnostic to the state across machines.

Discover q#, a high level quantum programming language that integrates classical control flow with quantum operations, enabling adaptive algorithms and runtime mapping of cubit variables to logical or physical cubits.

Explore how Q# provides a standalone, hardware-agnostic language with high-level abstraction, enabling statements and expressions, phase estimation, and quantum chemistry algorithms through reusable components and safe classical-quantum integration.

Explore Azure Quantum introduction, an open ecosystem cloud service offering quantum software, hardware, and solutions from Microsoft and partners, enabling you to write code once and run across multiple targets.

Identify two main parts of quantum solutions—quantum computing with multiple hardware providers and optimization to reduce operating costs in finance, energy, and scheduling—using the quantum development kit for real-world impact.

Explore Azure Quantum's cloud-based features, including access to quantum hardware with up to $10,000 credits, fast simulators, and multi-language tooling for optimization and research.

Discover Azure Quantum applications that enable industry solutions, optimization, and cost savings, leveraging diverse quantum resources, with Python, Visual Studio Code, and Q# in the Quantum Development Kit.

Create and manage an Azure quantum workspace, a bundle of assets for quantum or optimization apps, using the Azure CLI and $500 free credits.

Submit and manage Azure Quantum jobs for quantum computing or quantum-inspired optimization, specifying id, provider, target, and parameters; monitor from submission to final status and output storage.

Follow the Azure Quantum software workflow—from code creation with the quantum development kit and fuchsia language to simulation, classical integration with Python and .NET, and hardware execution.

Azure Quantum offers quantum cloud solutions to run your programs on real hardware or test them on simulated quantum computers, with quantum computing and optimization providers.

Create a free Microsoft Azure account with 12 months and $200 credit by starting the free plan, signing in with a Microsoft email, then complete the required details to activate.

Initialize an Azure quantum workspace in the portal by selecting the free trial, naming the workspace, and choosing a region; monitor deployment and access deployment details for next steps.

Install Azure CLI and Visual Studio Code across Windows, Mac, or Linux to connect to Azure and run administrative commands for Azure Quantum resources, enabling productive development workflow.

Install Visual Studio Code, then install and enable the Microsoft Quantum Development Kit extension for Visual Studio Code to run Azure Quantum in VS Code.

Explore how to write and run your first quantum program in the Azure quantum workspace, using Jupyter notebooks, selecting providers and targets, and submitting a simple hello world job.

Submit and run a simple quantum circuit in Azure Quantum using Python in a Jupyter notebook, view results as a histogram, and estimate costs for simulation and hardware.

Explore Jupyter notebook options in Azure Quantum, including running cells, restarting kernels, saving work, using keyboard shortcuts, and managing notebooks with creation, loading, uploading, renaming, and duplication.

Explore the quantum workspace features, including job management, providers, alerts, access control, and diagnostics, to monitor, automate, and troubleshoot quantum experiments.

Learn how to install the Azure CLI quantum extension, sign in via the CLI, and create a quantum workspace in a chosen subscription, resource group, and region.

Install the Microsoft Quantum Development Kit for Visual Studio Code, create a new Q# console project, and run a hello world quantum program to learn the basics.

Learn to create a Q# program in Visual Studio Code that uses the measurement library to allocate a qubit in superposition and measure it to produce 0 or 1.

Explore optimization as finding the best solution under constraints, defined by cost, runtime, or environmental impact, and see how quantum-ready approaches aim for quantum advantage.

Explore quantum inspired optimization, where classical hardware emulates quantum phenomena to speed up problem solving via the diabetic quantum computing model.

Azure Quantum optimization techniques use quantum-inspired methods to solve discrete optimization problems, including parallel tempering, simulated annealing, quantum Monte Carlo, sub stochastic Monte Carlo, and double search.

Explore where quantum inspired optimization applies to real-world problems, delivering faster or higher quality solutions for a fixed use case and time limit, while noting outcomes vary and research continues.

Explore essential resources to learn quantum programming with Azure Quantum, including documentation, quantum credits, and GitHub samples. Access tutorials, communities, and foundation books for a structured learning path.

Discover how quantum computing promises to solve problems beyond today's supercomputers, speed up complex tasks, and attract global investments across pharma, energy, finance, logistics, manufacturing, and materials.