Recursive QAOA

binder-index.md

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+      <td><strong><a href="./samples/azure-quantum/openqaoa/README.md">Quantum Approximate Optimization Algorithm</a></strong></td>
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+      <td><a href="./samples/azure-quantum/openqaoa/openqaoa.ipynb">Python</a></td>
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       <td><strong><a href="./samples/azure-quantum/grover/README.md">Grover's search</a></strong></td>

samples/azure-quantum/qaoa/README.md

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+---
+page_type: sample
+author: 
+description: Introduction to RQAOA using the OpenQAOA library.
+ms.author: 
+ms.date: 
+languages:
+- python
+products:
+- azure-quantum
+---
+
+# Solving Quadratic Unconstrained Binary Optimization (QUBO) problems using QAOA on Azure Quantum
+
+This sample shows how to solve quadratic unconstrained binary optimization problems using the Quantum Approximate Optimization Algorithm (QAOA) on the Azure Quantum service. It demonstrates how to operate the QAOA workflow for a specific problem instance (TO SPECIFY) as well as a general QUBO problem that can be taylored to more specific cases like graph coloring or minimum vertex cover.
+
+## Manifest
+
+- [openqaoa.ipynb](./openqaoa.ipynb) Python notebook demonstrating how to run QAOA locally and on the Azure Quantum platform using the OpenQAOA package.
+- [openqaoa-recursive.ipynb](./openqaoa.ipynb) Python notebook demonstrating how to run RQAOA locally and on the Azure Quantum platform using the OpenQAOA package.
+
+## See Also
+
+To learn more about QAOA and how to solve QUBO problems using OpenQAOA, visit https://openqaoa.entropicalabs.com/