Quantum circuit optimizer developed by ICEPP and LBNL
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Updated
Feb 18, 2026 - Jupyter Notebook
Quantum circuit optimizer developed by ICEPP and LBNL
A transpiler pass for Qiskit which uses ZX-Calculus for circuit optimization, implemented using PyZX.
Hardware-tailored readout/preparation circuit optimization on small quantum systems.
RQM native circuit language that provides quaternion-native circuit models, gate compositions, state preparation templates, and canonicalization
rqm-optimize compresses single-qubit gate runs into shorter SU(2)-equivalent forms, reducing unnecessary depth without changing the user workflow.
A Python implementation of the Quine–McCluskey algorithm for Boolean function minimization. Includes a theoretical report, interactive Jupyter notebook, and truth table verification.
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