KLayout Python library for integrated quantum circuit design.
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Updated
Sep 4, 2024 - Python
KLayout Python library for integrated quantum circuit design.
Interactive Parameter Fitting for Superconducting Circuits
Parameterized verification framework (PCells, DRC, LVS) for Superconducting and Quantum Electronics.
Simulate realistic quantum control sequences using QuTiP
This program is designed to analyze Scanning Electron Microscope (SEM) images, specifically images of superconducting quantum devices. It uses the Segment Anything library from Meta to identify and segment objects in the image.
Tools to aid in simulating and fabricating superconducting quantum devices
Python tools for pulse generation, data acquisition, experiment automation, result analysis and computational modeling.
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