Simulation devices

A simulation device can run a task, such as executing a kernel. It acts just like a device that is an actual hardware, but runs everything in a local simulation. As such, it can also be used to inspect the results of your program beyond what is possible on a QPU. For example, you can return the state_vector of the quantum register at the end of the task execution.

Here's how you can use it in order to run a simple qasm2.extended kernel.

from bloqade.pyqrack import StackMemorySimulator
from bloqade import qasm2

@qasm2.extended
def main():
    q = qasm2.qreg(2)

    qasm2.h(q[0])
    qasm2.cx(q[0], q[1])

    return q

sim = StackMemorySimulator(min_qubits=2)

# get the state vector -- oohh entanglement
state = sim.state_vector(main)