qibolab 0.1.5

Quantum hardware module and drivers for Qibo

Qibolab

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 custom experimental drivers for custom lab setup.
• Support multiple heterogeneous platforms.
• Use existing calibration procedures for experimentalists.

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, ExecutionParameters
from qibolab.pulses import DrivePulse, ReadoutPulse, PulseSequence

# Define PulseSequence
sequence = PulseSequence()
# Add some pulses to the pulse sequence
sequence.add(
    DrivePulse(
        start=0,
        amplitude=0.3,
        duration=4000,
        frequency=200_000_000,
        relative_phase=0,
        shape="Gaussian(5)",  # Gaussian shape with std = duration / 5
        channel=1,
    )
)

sequence.add(
    ReadoutPulse(
        start=4004,
        amplitude=0.9,
        duration=2000,
        frequency=20_000_000,
        relative_phase=0,
        shape="Rectangular",
        channel=2,
    )
)

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

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

# Execute a pulse sequence
options = ExecutionParameters(nshots=1000)
results = platform.execute_pulse_sequence(sequence, options)

# Print the acquired shots
print(results.samples)

# Disconnect from the instruments
platform.disconnect()

Here is another example on how to execute circuits:

import qibo
from qibo import gates, models


# Create circuit and add gates
c = models.Circuit(1)
c.add(gates.H(0))
c.add(gates.RX(0, theta=0.2))
c.add(gates.X(0))
c.add(gates.M(0))


# Simulate the circuit using numpy
qibo.set_backend("numpy")
for _ in range(5):
    result = c(nshots=1024)
    print(result.probabilities())

# Execute the circuit on hardware
qibo.set_backend("qibolab", platform="my_platform")
for _ in range(5):
    result = c(nshots=1024)
    print(result.probabilities())

Citation policy

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