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Measurement scripts for the OCS QP project using `qua` and `labber` mostly

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Measurement Scripts for the OCS QP Project:

This contains code to run on the Sneezy fridge and computer.

Hardware Setup:

Fridge Diagram:

fridge

Room Temperature Electronics Diagram:

rte

Equipment Used:

{ 
'readout_LO' : 
    {
    'instrument' : 'SignalCore SC5511A Signal Generator',
    'frequency' : 'Frequency',
    'output' : 'Output status',
    'power': 'Power',
    'Labber_kwargs' : {'name' : '10002A06',
                        'interface' : 'USB',}
    },

'qubit_LO' :
    {
    'instrument' : 'SignalCore SC5511A Signal Generator',
    'frequency' : 'Frequency',
    'output' : 'Output status',
    'power': 'Power',
    'Labber_kwargs' : {'name' : '10002F1D',
                        'interface' : 'USB',}
    },

'DA' :
    {
    'instrument' : 'Vaunix Lab Brick Digital Attenuator',
    'attenuation' : 'Attenuation',
    'Labber_kwargs' :   {
                        'name' : 'rr atten',
                        'interface' : 'usb',
                        'address' : '26551'
                        }
    }, 

'sa':
    {
    'instrument' : 'SignalHound SpectrumAnalyzer',
    'frequency' : 'Center frequency',
    'span' : 'Span',
    'bandwidth': 'Bandwidth',
    'threshold': 'Input Power Level',
    'signal': 'Signal',
    'Labber_kwargs' : {'name' : 'sa',
                        'interface' : 'usb',
                        'startup': 'Get config',}
    },

}

Measurements:

Measurement Notebooks:

Measurement Checklist:

  • Resonator spectroscopy
  • Punchout
  • qubit spectroscopy over broad range to detect higher order frequencies (up to w_03)
  • Resonator spectroscopy (high averages, small span) at res freqs
  • Single shot measurement of resonator at res freq for histogram (goal: see two peaks)
  • Ramsey interference measurement to determine the instantaneous n_g
  • Single-shot readout of charge parity
  • Charge parity dynamics timeseries measurement
  • basic qubit characterization (T1,T2R,T2E) [OPTIONAL]

Setup:

  1. Clone the repository
  2. Checkout the appropriate branch for deployment
  3. Create a new environment or add the requirements to your environment (pip install -r requirements.txt)

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  • Jupyter Notebook 90.2%
  • Python 9.8%