Skip to main content

Quantum hardware module and drivers for Qibo

Project description

Qibolab

codecov PyPI - Version PyPI - Python Version

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

docs

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

arXiv DOI

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qibolab-0.2.11.tar.gz (116.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qibolab-0.2.11-py3-none-any.whl (162.2 kB view details)

Uploaded Python 3

File details

Details for the file qibolab-0.2.11.tar.gz.

File metadata

  • Download URL: qibolab-0.2.11.tar.gz
  • Upload date:
  • Size: 116.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for qibolab-0.2.11.tar.gz
Algorithm Hash digest
SHA256 e8b226f90323dab637c92657413372477eb63be915110fa4e4b7c7c3e6c56586
MD5 4966d8d5e48933678c94dcd30334ab9b
BLAKE2b-256 0d5268df949afc9ffd7fb383e4c3b50c8d0b82e950e3d31ad050b25c12d60c81

See more details on using hashes here.

File details

Details for the file qibolab-0.2.11-py3-none-any.whl.

File metadata

  • Download URL: qibolab-0.2.11-py3-none-any.whl
  • Upload date:
  • Size: 162.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for qibolab-0.2.11-py3-none-any.whl
Algorithm Hash digest
SHA256 a0f4eac374f137be51c7627a512519eed2419252b7f6a433a636ee5667f0495f
MD5 75aae2acf4f629bad60622e67c8e8e58
BLAKE2b-256 01514ddd046821cbba28038667d25ed7f48c4d1651912f098bc2d4b820796bc3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page