| Troubleshooting | L37-L45 | Troubleshooting Azure Quantum provider issues: diagnosing job failures and understanding support/escalation policies and limits for IonQ, PASQAL, Quantinuum, and Rigetti. |
| Best Practices | L46-L52 | Best practices for using QDK in VS Code with Copilot, optimizing large Q# programs via resource estimation, and systematically testing and debugging quantum code. |
| Decision Making | L53-L61 | 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 | L62-L66 | 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 | L67-L73 | Managing Azure Quantum quotas, job/session limits, timeouts, and Rigetti-specific hardware constraints and target capabilities. |
| Security | L74-L84 | 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 | L85-L101 | Configuring Azure Quantum workspaces, QDK tools, simulators, noise models, and hardware targets (IonQ, PASQAL, Quantinuum, Rigetti), plus tuning and batching resource estimator runs. |
| Integrations & Coding Patterns | L102-L111 | Using the Azure Quantum QDK and SDKs to connect workspaces and submit/run circuits and programs (QIR, OpenQASM, Pulser, Qiskit, Cirq) and hybrid jobs with Adaptive RI |
| Deployment | L112-L116 | Deploying Azure Quantum workspaces with Bicep and running/submitting Q# quantum programs from VS Code to Azure Quantum backends |