| Troubleshooting | L37-L44 | Troubleshooting Azure Quantum provider issues: diagnosing job failures and support/escalation policies and limits for IonQ, Quantinuum, and Rigetti hardware on Azure Quantum. |
| Best Practices | L45-L49 | Tools and techniques for testing, debugging, and validating quantum programs with the Azure Quantum Development Kit (QDK), including simulators, logging, and troubleshooting. |
| Decision Making | L50-L56 | Guidance on Azure Quantum costs, provider pricing and regions, workspace migration, choosing Q# dev tools, and planning quantum-safe cryptography with the resource estimator. |
| Architecture & Design Patterns | L57-L61 | Guidance on designing hybrid quantum-classical workflows in Azure Quantum, including architecture options, orchestration patterns, and when to offload tasks to quantum hardware. |
| Limits & Quotas | L62-L68 | Managing Azure Quantum quotas, job/session limits, timeouts, and Rigetti-specific hardware constraints and target capabilities. |
| Security | L69-L79 | Managing secure access to Azure Quantum workspaces: RBAC and access control, bulk user assignment, ARM locks, managed identities, service principals, and secure handling of access keys. |
| Configuration | L80-L91 | Configuring Azure Quantum workspaces, QDK tools, simulators, and hardware targets, plus setting up and customizing Quantum Resource Estimator models and outputs. |
| Integrations & Coding Patterns | L92-L104 | Integrating quantum frameworks (Q#, OpenQASM, QIR, Qiskit, Cirq, Pulser) with Azure Quantum, configuring simulators/noise models, visualization, hybrid jobs, and resource estimation. |
| Deployment | L105-L109 | Deploying Azure Quantum workspaces with Bicep and running/submitting Q# quantum programs from VS Code to Azure Quantum backends |