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Azure Friday (Audio) · September 25

Quantum Advantage

Everyone is asking whether their workload belongs on a quantum computer, and most of the answers out there might surprise you. Werner Rall joins Scott Hanselman to demo the Quantum Advantage Evaluator, an app on Azure that gives an honest verdict - quantum, AI/ML, or classical HPC. Using Grover's search algorithm as the worked example: the algorithm runs perfectly, and the Azure Quantum Resource Estimator still says it would take 61,122 physical qubits to reliably search sixteen items. Werner then submits the same circuit as a real job to Azure Quantum simulator, and shows why the verdict is decided in code before the AI model is ever called. Chapters 00:00 - Introduction 00:33 - Quantum Advantage Intro 01:50 - Quantum Advantage Evaluator Architecture 03:18 - Scenario - Searching unsorted database - Grover 04:50 - Application Traceability 08:20 - Grover Search Quantum run 11:40 - Pareto Frontier from the Resource Estimator: what error correction costs 14:20 - Crux of the Quantum Advantage Tool 14:56 - Azure Quantum Workspace Demo 16:35 - Which Quantum Computers are available in Azure 18:09 - Running the Grover Search Job on Azure Quantum 20:19 - Wrap up Recommended resources Learn Docs Azure Quantum Quantum Grand Challenges on GitHub Connect Scott Hanselman | Twitter/X: @SHanselman Werner Rall | Twitter/X: @werneragent47 Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

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Everyone is asking whether their workload belongs on a quantum computer, and most of the answers out there might surprise you. Werner Rall joins Scott Hanselman to demo the Quantum Advantage Evaluator, an app on Azure that gives an honest verdict - quantum, AI/ML, or classical HPC. Using Grover's search algorithm as the worked example: the algorithm runs perfectly, and the Azure Quantum Resource Estimator still says it would take 61,122 physical qubits to reliably search sixteen items. Werner then submits the same circuit as a real job to Azure Quantum simulator, and shows why the verdict is decided in code before the AI model is ever called. Chapters 00:00 - Introduction 00:33 - Quantum Advantage Intro 01:50 - Quantum Advantage Evaluator Architecture 03:18 - Scenario - Searching unsorted database - Grover 04:50 - Application Traceability 08:20 - Grover Search Quantum run 11:40 - Pareto Frontier from the Resource Estimator: what error correction costs 14:20 - Crux of the Quantum Advantage Tool 14:56 - Azure Quantum Workspace Demo 16:35 - Which Quantum Computers are available in Azure 18:09 - Running the Grover Search Job on Azure Quantum 20:19 - Wrap up Recommended resources Learn Docs Azure Quantum Quantum Grand Challenges on GitHub Connect Scott Hanselman | Twitter/X: @SHanselman Werner Rall | Twitter/X: @werneragent47 Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

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