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.github/ISSUE_TEMPLATE/algorithm-implementation.md

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+---
+name: Algorithm Implementation
+about: Add an additional algorithm to the qBraid Algos library
+title: "[ALGORITHM]"
+labels: ''
+assignees: ''
+
+---
+
+**Required functions to implement:**
+- [ ] `load_program()` - Load complete executable circuit
+- [ ] `generate_subroutine()` - Generate reusable subroutine
+- [ ] Additional functions: _______________
+
+**CLI integration needed:**
+- [ ] Generate command: `qbraid-algorithms generate [algorithm] [options]`
+- [ ] Special options required: _______________
+
+## Testing & Documentation
+
+**Test cases to include:**
+- [ ] Tests for each implemented Python function
+- [ ] Algorithm-specific testing to clearly demonstrate successful implementation
+
+**Documentation to provide:**
+- [ ] Algorithm explanation and use cases
+- [ ] Jupyter Notebook use case example
+
+## Additional Information
+
+**Does this algorithm have classical pre/post-processing?**
+- [ ] No classical components
+- [ ] Classical preprocessing only
+- [ ] Classical postprocessing only  
+- [ ] Hybrid classical-quantum loop
+- If yes, describe: _______________
+
+**Related algorithms or dependencies:**
+List any algorithms this utilizes, builds upon, or relates to
+
+**References:**
+Please list all references used for the algorithm implementation here.
+
+**Additional context:**
+Add any other context, screenshots, or examples.