Qibolab

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Qibolab is the dedicated Qibo backend for the automatic deployment of quantum circuits on quantum hardware.

Some of the key features of Qibolab are:

Deploy Qibo models on quantum hardware easily.
Create experimental drivers for custom lab setup.
Support multiple heterogeneous platforms.
Use calibration procedures from Qibocal.

Documentation

The qibolab backend documentation is available at https://qibo.science/qibolab/stable/.

Minimum working example

A simple example on how to connect to a platform and use it execute a pulse sequence:

from qibolab import create_platform

# Define platform and load specific runcard
platform = create_platform("my_platform")

# Create a pulse sequence based on native gates of qubit 0
natives = platform.natives.single_qubit[0]
sequence = natives.RX() | natives.MZ()

# Connects to lab instruments using the details specified in the calibration settings.
platform.connect()

# Execute a pulse sequence
results = platform.execute([sequence], nshots=1000)

# Grab the acquired shots corresponding to
# the measurement using its pulse id.
# The ``PulseSequence`` structure is list[tuple[ChannelId, Pulse]]
# thererefore we need to index it appropriately
# to get the acquisition pulse
readout_id = sequence.acquisitions[0][1].id
print(results[readout_id])

# Disconnect from the instruments
platform.disconnect()

Arbitrary pulse sequences can also be created using the pulse API:

from qibolab import (
    Acquisition,
    Delay,
    Gaussian,
    Pulse,
    PulseSequence,
    Readout,
    Rectangular,
)

# Crete some pulses
pulse = Pulse(
    amplitude=0.3,
    duration=40,
    relative_phase=0,
    envelope=Gaussian(rel_sigma=0.2),  # Gaussian shape with std = 0.2 * duration
)
delay = Delay(duration=40)
readout = Readout(
    acquisition=Acquisition(duration=2000),
    probe=Pulse(
        amplitude=0.9,
        duration=2000,
        envelope=Rectangular(),
        relative_phase=0,
    ),
)

# Add them to a PulseSequence
sequence = PulseSequence(
    [
        (1, pulse),  # pulse plays on channel 1
        (2, delay),  # delay and readout plays on channel 2
        (2, readout),
    ]
)

Here is another example on how to execute circuits:

from qibo import gates, models, set_backend

# Create circuit and add native gates
c = models.Circuit(1)
c.add(gates.GPI2(0, phi=0.2))
c.add(gates.M(0))


# Simulate the circuit using numpy
set_backend("numpy")
result = c(nshots=1024)
print(result.probabilities())

# Execute the circuit on hardware
set_backend("qibolab", platform="my_platform")
result = c(nshots=1024)
print(result.probabilities())

Citation policy

If you use the package please refer to the documentation for citation instructions.

Metadata

Release files for qibolab 0.2.17

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for qibolab 0.2.17
File	Size	Uploaded
qibolab-0.2.17.tar.gz	139.4 kB	Oct 6, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for qibolab 0.2.17
File	Interpreter	ABI	Platform	Reset
qibolab-0.2.17-py3-none-any.whl 190.9 kB Oct 6, 2026	Python 3	none	any	Details

Total release size: 330.3 kB

Release files / qibolab-0.2.17.tar.gz

Download URL	qibolab-0.2.17.tar.gz
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Uploaded via	`twine/7.0.0 CPython/3.13.14`

Release files / qibolab-0.2.17-py3-none-any.whl

Download URL	qibolab-0.2.17-py3-none-any.whl
Size	190.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cc5a6acdb7ab9b2e93a1dfff448df5a9ca4844468c9c53c1529bac9c88fb2a26`
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Upload date	Oct 6, 2026
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Uploaded via	`twine/7.0.0 CPython/3.13.14`