qat-qiskit 0.1.1

Module qat-qiskit [93b75ec] - Compiled by Bull

qat-qiskit

This Python package contains binders between qiskit 2.0 and a Qaptiva Access server. It provides implementations for several qiskit primitives.

Installation

pip install qat-qiskit

This command will also install the dependencies myqlm and qlmaas.

Usage

As an example, we will create a simple Bell pair with qiskit.

from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit

q = QuantumRegister(2,'q')
c = ClassicalRegister(2,'c')
circuit = QuantumCircuit(q,c)
circuit.h(q[0])
circuit.cx(q[0],q[1])
circuit.measure(q,c)

This circuit can then be submitted, for a sampling job, to a Qaptiva Access server. A QaptivaService object can be used for listing the available backends, and to get one. For this example, we will use the LinAlg (Linear Algebra) simulator.

Note that the code samples below will only work if a connection to a Qaptiva Access server is available and configured.

from qat.qiskit import QaptivaService, Sampler

service = QaptivaService()

# Print available backends
for backend in service.backends():
    print(backend.name)
# "QutipQPU"
# "AnalogQPU"
# ...
# "LinAlg"
# ...

# Initialize the Sampler with the LinAlg backend
backend = service.backend("LinAlg")
sampler = Sampler(backend)

job = sampler.run([circuit], shots=10)
# "Submitted a new batch: Job11"

We can then query the job for its status or result. The circuit only has a single quantum register, so measured bitstrings can be found in the register_0 field of the DataBin.

print(job.status())
# "JobStatus.DONE"
print(job.result())
# "PrimitiveResult([SamplerPubResult(data=DataBin(register_0=np.ndarray(<shape=(10,), dtype=<U2>)))], metadata={'single_job': 'False'})"
print(job.result()[0].data.register_0)
# "['00' '00' '00' '11' '00' '00' '11' '00' '11' '00']"

License

myQLM EULA