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-0.2.7.tar.gz (81.2 kB view details)

Uploaded Source

Built Distribution

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

qibolab-0.2.7-py3-none-any.whl (110.6 kB view details)

Uploaded Python 3

File details

Details for the file qibolab-0.2.7.tar.gz.

File metadata

  • Download URL: qibolab-0.2.7.tar.gz
  • Upload date:
  • Size: 81.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for qibolab-0.2.7.tar.gz
Algorithm Hash digest
SHA256 cac8c20e3e2259692608978755dca7d7dd8d9de0d6b2d140f0a88eefc8629c86
MD5 3301fec1ad571d6d6b5dec12ad77de48
BLAKE2b-256 213b1e3232e0b9022058116cab5d2696a530f99d4893d586364e3b3a3c9c5244

See more details on using hashes here.

File details

Details for the file qibolab-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: qibolab-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 110.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for qibolab-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 76ae2783e50b8b7f1194718a45bbe1623b30d6e3796f3f04492093f7136745be
MD5 f0bf835d35a02a5439ce207f643b9572
BLAKE2b-256 c8b42d69f6acd6911c307d6ff66f3da85d764a593fff409f7e29de9308af7054

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