matt-lourens/hierarqcal
Generate hierarchical quantum circuits for Neural Architecture Search.
This tool helps quantum machine learning researchers and practitioners efficiently design and construct complex quantum circuits, especially for exploring different architectures in quantum neural networks. You provide an abstract definition of circuit patterns and connectivity, and it outputs a complete, scalable quantum circuit ready for simulation or execution on quantum hardware. It's designed for those who need to experiment with various circuit layouts to optimize quantum algorithms.
Use this if you need to rapidly prototype, scale, and manage hierarchical quantum circuit designs for tasks like quantum machine learning or algorithm optimization.
Not ideal if you are a beginner looking for a simple drag-and-drop circuit builder or if your quantum circuit needs are simple and static.
Stars
53
Forks
19
Language
Python
License
BSD-3-Clause
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
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