quantastica-qiskit-toaster 0.9.21

Qubit Toaster backend for Qiskit: run Qiskit code on Quantastica "Qubit Toaster" simulator

Qubit Toaster backend for Qiskit

Allows running Qiskit code on Qubit Toaster - a high performance quantum circuit simulator.

More goodies at https://quantastica.com

Install

pip install quantastica-qiskit-toaster

Usage

Import ToasterBackend into your Qiskit code:

from quantastica.qiskit_toaster import ToasterBackend

Replace Aer.get_backend with ToasterBackend.get_backend.

Example

from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit, execute, Aer
from quantastica.qiskit_toaster import ToasterBackend

qc = QuantumCircuit()

q = QuantumRegister(2, "q")
c = ClassicalRegister(2, "c")

qc.add_register(q)
qc.add_register(c)

qc.h(q[0])
qc.cx(q[0], q[1])

qc.measure(q[0], c[0])
qc.measure(q[1], c[1])


# Instead:
#backend = Aer.get_backend("qasm_simulator")

# Use:
backend = ToasterBackend.get_backend("qasm_simulator")

# OR (to use statevector_simulator backend):
# backend = ToasterBackend.get_backend("statevector_simulator")

# OR (to specify custom toaster_host and toaster_port params
# default values are localhost and 8001 respectively):
# backend = ToasterBackend.get_backend(
#            "statevector_simulator",
#            toaster_host="192.168.1.2",
#            toaster_port=8888,
#        )

job = execute(qc, backend=backend)
# To speed things up a little bit qiskit's optimization can be disabled
# by setting optimization_level to 0 like following:
# job = execute(qc, backend=backend, optimization_level=0)
job_result = job.result()

print(job_result.get_counts(qc))

Details

Syntax

ToasterBackend.get_backend(backend_name = None)

Arguments

backend_name can be:

• qasm_simulator only counts will be returned

• statevector_simulator both counts and state vector will be returned

If backend name is not provided then it will act as qasm_simulator

That's it. Enjoy! :)