Using the Turn-On Models

1
from dotenv import load_dotenv
2
import os
3
from conductorquantum import ConductorQuantum
4
5
# Load API key from .env file
6
load_dotenv()
7
TOKEN = os.getenv("CONDUCTOR_API_KEY")
8
9
# Initialize client
10
client = ConductorQuantum(token=TOKEN)

1
from conductorquantum import ConductorQuantum
2
3
# Initialize client with API key
4
client = ConductorQuantum(token="YOUR_API_KEY")

1
from dotenv import load_dotenv
2
import os
3
import numpy as np
4
from conductorquantum import ConductorQuantum
5
6
7
# Load API key from .env file
8
load_dotenv()
9
TOKEN = os.getenv("CONDUCTOR_API_KEY")
10
11
# Initialize client
12
client = ConductorQuantum(token=TOKEN)
13
14
# Load Turn-on data (current measurement)
15
data = np.load("turn-on-classifier-v0.npy")  # shape (n, )
16
17
# Detect Turn-on
18
result = client.models.execute(
19
    model="turn-on-classifier-v0",
20
    data=data
21
)
22
23
# Access the classification result
24
is_turn_on = result.output["classification"]
25
print(f"Is turn-on: {is_turn_on}")

1
Is turn-on: True

1
from dotenv import load_dotenv
2
import os
3
import numpy as np
4
from conductorquantum import ConductorQuantum
5
6
7
# Load API key from .env file
8
load_dotenv()
9
TOKEN = os.getenv("CONDUCTOR_API_KEY")
10
11
# Initialize client
12
client = ConductorQuantum(token=TOKEN)
13
14
# Load Turn-on data (current measurement)
15
data = np.load("turn-on-parameter-extractor-v0.npy")  # shape (n, )
16
17
# Detect Turn-on
18
result = client.models.execute(
19
    model="turn-on-parameter-extractor-v0",
20
    data=data
21
)
22
23
# Access the peak locations (indices)
24
threshold_index = result.output["threshold_idx"]
25
print(f"Threshold index: {threshold_index}")

1
Threshold index: 52

1
import matplotlib.pyplot as plt
2
3
plt.figure(figsize=(10, 5), dpi=300)
4
plt.plot(example_input, 'k-')
5
plt.axvline(x=result_api.output["threshold_idx"], color='b', linestyle='--', label='Threshold Index')
6
plt.xlabel('Voltages (Indices)')
7
plt.ylabel('Current (a.u.)')
8
plt.legend()
9
plt.show('turn-on-parameter-extractor.png')