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Quantum-inspired algorithms and the Azure Quantum optimization service

Delbert Murphy joins Scott Hanselman to show how quantum-inspired algorithms mimic quantum physics to solve difficult optimization problems. Quantum-Inspired Optimization (QIO) takes state-of-the-art algorithmic techniques from quantum physics and makes these capabilities available in Azure on conventional hardware, and callable from a Python client. You can use QIO to solve problems with hundreds of thousands of variables, combined into millions of terms, in a few minutes, with this easy-to-consume Azure service.

Videoserier - Azure Friday

Join Scott Hanselman every Friday as he sits down with a friend to learn how to use Azure to solve problems. No editing, no marketing, just solutions.

Accelerate time to insights with Azure Synapse Link for Dataverse

An introduction to the unified Azure SDK

Enable Zero Trust with Azure AD PIM and Azure Lighthouse

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