Run Model Batch | Conductor Quantum

Batch multiple traces for coulomb-blockade-peak-detector-v2 in one request. This endpoint accepts a single .npy or .pt file containing a 2D array shaped (batch_size, trace_length), returns output.outputs ordered by batch index, and maps to client.control.models.batch.run(...) in the Python SDK.

Authentication

AuthorizationBearer

Bearer authentication of the form Bearer <token>, where token is your auth token.

Request

This endpoint expects a multipart form containing a file.

modelenumRequired

The model to run. Only coulomb-blockade-peak-detector-v2 is currently supported.

Allowed values:

datafileRequired

A .npy or .pt file containing a 2D batch tensor shaped (batch_size, trace_length).

Response

Successful Batch Response

outputmap from strings to any

The model output, containing an 'outputs' list ordered by batch index.

idstring

The external UUID of the model result

created_atstringformat: "date-time"

The UTC time the model result was created

input_file_namestring

The name of the input file

modelstring

The string ID of the model

batch_sizeinteger

The number of inputs in the batch

Errors

404

Not Found Error

422

Unprocessable Entity Error

1	import numpy as np
2	from conductorquantum import ConductorQuantum
3
4	client = ConductorQuantum(
5	token="YOUR_TOKEN",
6	)
7
8	trace_a = ... # replace with actual trace data
9	trace_b = ... # replace with actual trace data
10	batch = np.stack([trace_a, trace_b])
11
12	client.control.models.batch.run(
13	model="coulomb-blockade-peak-detector-v2",
14	data=batch,
15	)

1	{
2	"output": {
3	"outputs": [
4	{
5	"peak_indices": [
6	10,
7	20,
8	30
9	]
10	},
11	{
12	"peak_indices": [
13	11,
14	21,
15	31
16	]
17	}
18	]
19	},
20	"id": "08047949-7263-4557-9122-ab293a49cae5",
21	"created_at": "2024-01-01T00:00:00",
22	"input_file_name": "batch.npy",
23	"model": "coulomb-blockade-peak-detector-v2",
24	"batch_size": 2
25	}