https://github.com/shanto268/two_parameter_optimization_labber_qic

This code allows one to do optimized parameter sweeps for Quantum Computing/Information experiments using systems integrated through Labber API
https://github.com/shanto268/two_parameter_optimization_labber_qic

alazar keysight keysight-instruments labber measurements qic source-meter srs vna

Last synced: about 16 hours ago
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This code allows one to do optimized parameter sweeps for Quantum Computing/Information experiments using systems integrated through Labber API

• Host: GitHub
• URL: https://github.com/shanto268/two_parameter_optimization_labber_qic
• Owner: shanto268
• Created: 2022-06-14T23:28:34.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-06-17T21:30:04.000Z (over 2 years ago)
• Last Synced: 2024-01-27T07:40:22.974Z (12 months ago)
• Topics: alazar, keysight, keysight-instruments, labber, measurements, qic, source-meter, srs, vna
• Language: Python
• Homepage:
• Size: 15.6 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Summary:

This code allows one to do optimized parameter sweeps for Quantum Computing/Information experiments using systems integrated through Labber API

## Use Cases:

```mermaid

graph LR

  B("class MeasurementOptimizer");

  D[Optimization Parameter];

  A[Input Parameter 1] ----> B;

  C[Input Parameter 2] ----> B;

  D ---> B;

  subgraph "MeasurementOptimizer.py"

  B--> E{Is the Optimization Parameter a Derived Quantity};

  E -->|Yes| F[Case 1];

  E -->|No| G[Case 2];

  F --> B;

  G --> B;

  end

```

## Usage

The program would require the following inputs:

- 2 parameters, their config. with Labber, and bounds to form the search space

- 1 parameter, its qualifier (`isDerivedQuant: bool`), and associated config. to optimize over

- hyper-parameters for optimization

Example:

```python

from MeasurementOptimizer import *

MeasurementOptimizer()

```

### To Do:

- [ ] study James' code

    - [ ] methods to deal with generalized output optimization

    - [ ] obj code verification

    - [ ] save data

    - [ ] implement SNR optimization

- [ ] test

    - [ ] toy

    - [ ] with system

- [ ] document

- [ ] 3 param  opt.