IBM ibmq_guadalupe

IBM · Apache-2.0 last capture 2021-04-20

ibmq_guadalupe is a 16-qubit IBM quantum computer.

On its latest calibration (20 April 2021), a typical two-qubit operation failed about 1 in 99, better than 43% of the 65 other devices in this record.

The newest record is from 20 April 2021, so the machine may since have been upgraded or retired.

Every figure below is the device's latest measurement of that metric, with its own date and source. See how the whole field is progressing →

Best 2Q fidelity
IBM · Apache-2.0
0.993238
fails about 1 in 150

Success rate of the chip's single best pair of qubits. The best pair flatters the chip; the typical one matters more.

Better than 35% of 65 other devices with this measurement
Measured 2021-04-20
Median 2Q error
IBM · Apache-2.0
0.0101369
fails about 1 in 99

How often a typical two-qubit operation on this chip fails, from the vendor's own calibration.

Better than 43% of 65 other devices with this measurement
Measured 2021-04-20
Median T1 (µs)
IBM · Apache-2.0
71.859

How long a typical qubit holds its state before it decays, in microseconds. Longer leaves more time to compute.

Better than 19% of 67 other devices with this measurement
Measured 2021-04-20
Median T2 (µs)
IBM · Apache-2.0
88.301

How long a typical qubit keeps its delicate quantum phase, in microseconds.

Better than 42% of 67 other devices with this measurement
Measured 2021-04-20
Median readout error
IBM · Apache-2.0
0.01625
fails about 1 in 62

How often reading a typical qubit's value at the end gives the wrong answer.

Better than 69% of 67 other devices with this measurement
Measured 2021-04-20
Qubits
IBM · Apache-2.0
16

Physical qubits on the device. More only helps if they are good enough to use together.

Measured 2021-04-20

History

1 snapshot so far. A trend appears here once a metric has been measured on two different days.

Provenance

Source
IBM · Apache-2.0
Licence
Apache-2.0 · Qiskit fake backend calibration snapshot
Raw redistributable
yes
Captured
2021-04-20T05:26:31
Raw source (latest snapshot)
https://github.com/Qiskit/qiskit-ibm-runtime/blob/2a396172c25aa2971e99b434b430177745878a53/qiskit_ibm_runtime/fake_provider/backends/guadalupe/props_guadalupe.json

Cite this page

@misc{provenova_ibm_ibmq_guadalupe,
  title        = {IBM ibmq_guadalupe — calibration & benchmark history},
  howpublished = {\url{https://provenova.net/hardware/ibm/ibmq_guadalupe}},
  publisher    = {Provenova},
  note         = {accessed 2026-10-19}
}

Compare with

vs ibm ibm_aachen 5 shared metrics vs ibm ibm_algiers 5 shared metrics vs ibm ibm_auckland 5 shared metrics vs ibm ibm_berlin 5 shared metrics vs ibm ibm_boston 5 shared metrics vs ibm ibm_brisbane 5 shared metrics vs ibm ibm_brussels 5 shared metrics vs ibm ibm_cairo 5 shared metrics

Data: real IBM device calibration published in Qiskit's fake backends (Apache-2.0). Rankings on the live leaderboard.