qrisp.jasp.Jaspr.to_qc#

Jaspr.to_qc(*args)[source]#

Converts the Jaspr into a QuantumCircuit if applicable. Circuit conversion of algorithms involving realtime computations is not possible.

Any computations that perform classical postprocessing of measurements can not be reflected within the QuantumCircuit object itself and will generate an object of type ProcessedMeasurement. These objects hold no further information and are simply used as placeholders to emulate the computation.

Parameters:

*argstuple: The arguments to call the Jaspr with.

Returns:

return_valuestuple: The return values of the Jaspr. QuantumVariable return types are returned as lists of Qubits.
QuantumCircuit: The resulting QuantumCircuit.

Examples

We create a simple script and inspect the QuantumCircuit:

from qrisp import *
from qrisp.jasp import make_jaspr

def example_function(i):

    qv = QuantumVariable(i)
    cx(qv[0], qv[1])
    t(qv[1])
    return qv

jaspr = make_jaspr(example_function)(2)

qb_list, qc = jaspr.to_qc(2)
print(qc)
# Yields
# qb_0: ──■───────
#       ┌─┴─┐┌───┐
# qb_1: ┤ X ├┤ T ├
#       └───┘└───┘

To demonstrate the behavior under measurement post-processing, we build a similar script:

from qrisp import ProcessedMeasurement

def example_function(i):

    qf = QuantumFloat(i)
    cx(qf[0], qf[1])
    t(qf[1])

    meas_res = measure(qf)
    # Perform classical post processing
    meas_res *= 2
    return meas_res

jaspr = make_jaspr(example_function)(2)

meas_res, qc = jaspr.to_qc(2)
print(isinstance(meas_res, ProcessedMeasurement))
# True