qrisp.batched_measurement#

batched_measurement(variables, backend, shots=None)[source]#

This functions facilitates the measurement of multiple QuantumVariables with a BatchedBackend.

Parameters:

variableslist[QuantumVariable]: A list of QuantumVariables.
backendBatchedBackend: The backend to evaluate the compiled QuantumCircuits on.
shotsint, optional: The amount of shots to perform. The default is given by the backend used.

Returns:

resultslist[dict]: The list of results.

Examples

We set up a BatchedBackend, which sequentially executes the QuantumCircuits on the Qrisp simulator.

from qrisp import *
from qrisp.interface import BatchedBackend

def run_func_batch(batch):
    # Parameters
    # ----------
    # batch : list[tuple[QuantumCircuit, int]]
    #     The circuit and shot batch indicating the backend queries.

    # Returns
    # -------
    # results : list[dict[string, int]]
    #     The list of results.

    results = []
    for i in range(len(batch)):
        qc = batch[i][0]
        shots = batch[i][1]
        results.append(qc.run(shots = shots))

    return results

# Set up batched backend
bb = BatchedBackend(run_func_batch)

a = QuantumFloat(4)
b = QuantumFloat(3)
a[:] = 1
b[:] = 2
c = a + b

d = QuantumFloat(4)
e = QuantumFloat(3)
d[:] = 2
e[:] = 3
f = d + e

batched_measurement([c,f], backend=bb)
# Yields: [{3: 1.0}, {5: 1.0}]