https://github.com/lfl-lab/qubitpresimulated
Library of premade qubits made in Qiskit Metal. Ask for a set of target parameters, and we'll give you a few close choices.
https://github.com/lfl-lab/qubitpresimulated
Last synced: 7 months ago
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Library of premade qubits made in Qiskit Metal. Ask for a set of target parameters, and we'll give you a few close choices.
- Host: GitHub
- URL: https://github.com/lfl-lab/qubitpresimulated
- Owner: LFL-Lab
- Created: 2022-11-28T06:23:30.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-12T01:52:26.000Z (over 3 years ago)
- Last Synced: 2025-01-09T18:21:52.071Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 52.7 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# QubitPresimulated
Library of modular pre-designed superconducting Qubits using Qiskit Metal. Speed up your the design and simulation phase of fabrication. Ask for a set of target parameters, and we'll give you a few close choices.
## Instalation
Must have `qiskit-metal` by IBM Quantum installed.
## Usage
See tutorials for the full story. But here's some pseduo-code if you're in a rush.
```
# Run a sweep
analyzer = QAnalysis
parameters_to_sweep = dict() # in structure of QComponent.options
component_name = QComponent.name
sweeper = QSweeper(QAnalysis)
sweeper.run_sweep(component_name, parameter_to_sweep, etc.)
# See results
print(sweeper.librarian.qoptions)
print(sweeper.librarian.simulations)
```
# To Do
- Make tutorial for `QLibrary`, specifically selecting the best choice
- Implement complete support for LOM and ScatteringSim