Stim Simulation#

stimulate(func=None)[source]#

This function leverages the Stim simulator to evaluate a Jasp-traceable function containing only Clifford gates. Stim is a popular tool to simulate quantum error correction codes.

Note

To use this simulator, you need stim installed, which can be achieved via pip install stim.

Parameters:

funccallable: The function to simulate.

Returns:

callable: A function performing the simulation.

Examples

We simulate a function creating a simple GHZ state:

from qrisp import *
from qrisp.jasp import *

@stimulate
def main():

    qf = QuantumFloat(5)

    h(qf[0])

    for i in range(1, 5):
        cx(qf[0], qf[i])

    return measure(qf)

print(main())            
# Yields either 0 or 31

The stimulate decorator can also simulate real-time features:

@stimulate
def main():

    qf = QuantumFloat(5)

    h(qf[0])

    cl_bl = measure(qf[0])

    with control(cl_bl):
        for i in range(1, 5):
            x(qf[i])

    return measure(qf)

print(main())            
# Yields either 0 or 31        