BackendProperties.py

# Script to retrieve the characteristics of the available backends in IBM Quantum Experience
# by Jaime Sevilla, based on a script from Douglas T. McClure 

# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
# Loading your IBM Q account(s)
provider = IBMQ.load_account()

# from qiskit import IBMQ
provider = IBMQ.load_account()
from datetime import date, timedelta

# Iterate over the backends, printing the characteristics
for backend in provider.backends():
    # We are not interested in calibration
    if backend.configuration().simulator:
        continue
        
    # Search for earliest available calibration
    date_t = date(2010, 1, 1)
    limit = date.today()
    delta = timedelta(weeks=4)
    
    while True:
        prop = backend.properties(datetime=date_t)
        if prop is not None: break
        
        date_t += delta
        if date_t > limit: raise Error
        
    print(f"backend = {prop.backend_name}")
    print(f"online date = {backend.configuration().online_date}")
    print(f"earliest calibration date = {date_t}")
    print(f"n qubits = {backend.configuration().n_qubits}")
    
    err_rates = []
    for gate in prop.gates:
        if gate.gate == 'cx':
            err_rates.append(gate.parameters[0].value)
    if len(err_rates) > 0:
        print(f"average error rate = {sum(err_rates)/len(err_rates)}")
    print("")