quantastica-qiskit-forest 0.9.17

Forest backend for Qiskit: run Qiskit code on Rigetti quantum computers or simulators

Forest backend for Qiskit

Allows running Qiskit code on Rigetti simulators and quantum computers by changing only two lines of your Qiskit code.

More goodies at https://quantastica.com

Install

pip install quantastica-qiskit-forest

Usage

Import ForestBackend into your Qiskit code:

from quantastica.qiskit_forest import ForestBackend

And replace Aer.get_backend with ForestBackend.get_backend.

Example

from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit, execute, Aer

# Import ForestBackend:
from quantastica.qiskit_forest import ForestBackend

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 = ForestBackend.get_backend("qasm_simulator")

# OR:
# backend = ForestBackend.get_backend("statevector_simulator")
# backend = ForestBackend.get_backend("Aspen-7-28Q-A")
# backend = ForestBackend.get_backend("Aspen-7-28Q-A", as_qvm=True)
# ...

# 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 = execute(qc, backend=backend)
job_result = job.result()

print(job_result.get_counts(qc))

Prerequisites

Running on your local Rigetti simulator

You need to install Rigetti Forest SDK and make sure that quilc compiler and qvm simulator are running:

Open new terminal and run:

quilc -S

And in one more new terminal run:

qvm -S -c

Running on Rigetti quantum computer

• You need to get access to Rigetti Quantum Cloud Services (QCS)

• In your Quantum Machine Image (QMI) install this package and Qiskit

• Reserve a QPU lattice

• Run your code via QMI terminal or Jupyter notebook served by your QMI

Details

Syntax

ForestBackend.get_backend(backend_name = None, as_qvm = False)

Arguments

backend_name can be:

• any valid Rigetti lattice name

OR:

• qasm_simulator will be sent to QVM as Nq-qvm (where N is number of qubits in the circuit)

• statevector_simulator will be executed as WavefunctionSimulator.wavefunction()

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

as_qvm boolean:

• False (default)

• True: if backend_name is QPU lattice name, then code will execute on QVM which will mimic QPU

That's it. Enjoy! :)