Using the Pinch-Off Models

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from dotenv import load_dotenv
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import os
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from conductorquantum import ConductorQuantum
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# Load API key from .env file
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load_dotenv()
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TOKEN = os.getenv("CONDUCTOR_API_KEY")
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# Initialize client
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client = ConductorQuantum(token=TOKEN)

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from conductorquantum import ConductorQuantum
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# Initialize client with API key
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client = ConductorQuantum(token="YOUR_API_KEY")

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from dotenv import load_dotenv
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import os
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import numpy as np
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from conductorquantum import ConductorQuantum
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# Load API key from .env file
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load_dotenv()
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TOKEN = os.getenv("CONDUCTOR_API_KEY")
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# Initialize client
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client = ConductorQuantum(token=TOKEN)
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# Load Pinch-off data (current measurement)
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data = np.load("pinch-off-classifier-v0.npy")  # shape (n, )
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# Detect Pinch-off
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result = client.models.execute(
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    model="pinch-off-classifier-v0",
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    data=data
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)
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# Access the classification result
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is_pinch_off = result.output["classification"]
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print(f"Is pinch-off: {is_pinch_off}")

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Is pinch-off: True

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from dotenv import load_dotenv
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import os
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import numpy as np
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from conductorquantum import ConductorQuantum
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# Load API key from .env file
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load_dotenv()
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TOKEN = os.getenv("CONDUCTOR_API_KEY")
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# Initialize client
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client = ConductorQuantum(token=TOKEN)
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# Load Pinch-off data (current measurement)
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data = np.load("pinch-off-parameter-extractor-v0.npy")  # shape (n, )
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# Detect Pinch-off
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result = client.models.execute(
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    model="pinch-off-parameter-extractor-v0",
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    data=data
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)
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# Access the peak locations (indices)
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pinch_off_parameters = result.output
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print(f"Pinch-off parameters: {pinch_off_parameters}")

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Pinch-off parameters: {'cut_off_index': 31, 'transition_index': 43, 'saturation_index': 54}

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import matplotlib.pyplot as plt
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plt.figure(figsize=(10, 5), dpi=300)
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plt.plot(data, 'k-')
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plt.axvline(x=result.output["cut_off_index"], color='b', linestyle='--', label='Cutoff Index')
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plt.axvline(x=result.output["transition_index"], color='g', linestyle='--', label='Transition Index')
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plt.axvline(x=result.output["saturation_index"], color='r', linestyle='--', label='Saturation Index')
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plt.xlabel('Voltages (Indices)')
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plt.ylabel('Current (a.u.)')
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plt.legend()
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plt.show()