Long-Term Monitor Data Management: A User Manual

Upload Experiment Data:

Steps:

1. We are using MongoDB here hence we are not creating the Branches here.

2. In order to upload Experiment Data you have to upload a file that follows this format.

   1. X4Y2.data.json -> chip_name.data.json

   2. We will extract chip_name from the file_name.

3. In, Jupyter NoteBook you can upload experiment data in 2 ways.

   1. File Upload

   2. Object Upload

Web Platform

Upload Experiment Data Button

(File Upload)Jupyter NoteBook

File Upload

from qubicstorage import experiment
import json
file_path = 'X4Y2.data.json'
response = experiment.insertbyfile(file_path)

response_json_content = response.json()
response_json_string = json.dumps(response_json_content, indent=4)
print(response_json_string)

(Object Upload) Jupyter NoteBook

Object Upload

# Insert Qubit Data by JSON Object
from qubicstorage import experiment
import json
chip_name =  "X4Y2"
json_data= {....}

response = experiment.insertbyobject(json_data,chip_name)
response_json_content = response.json()
response_json_string = json.dumps(response_json_content, indent=4)
print(response_json_string)

View Experiment Data:

Web Platform

By Qubit No

# Get Each Qubit Property Data With specified Chip

from qubicstorage import experiment
import json

qubit = "Q0"
chip_name = "X4Y2"
response = experiment.geteachqubitdata_chip(qubit,chip_name)
response_json_content = response.json()
response_json_string = json.dumps(response_json_content, indent=4)
print(response_json_string)

By Property

# Get All Qubits Data With specified Property

from qubicstorage import experiment
import json

#List of Currently available Properties:
# 1. fidelity
# 2. prep0read1
# 3. prep1read0
# 4. separation
# 5. t1
# 6. t2spinecho
# 7. t2ramsey

property = "fidelity"
chip_name = "X4Y2"
response = experiment.getallqubitdata_property(property,chip_name)
response_json_content = response.json()
response_json_string = json.dumps(response_json_content, indent=4)
print(response_json_string)