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:
# backend = ToasterBackend.get_backend("statevector_simulator")
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_simulatoronly counts will be returned -
statevector_simulatorboth counts and state vector will be returned
If backend name is not provided then it will act as qasm_simulator
That's it. Enjoy! :)
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