Source code for quantify_scheduler.backends.zhinst.resolvers

# Repository:
# Licensed according to the LICENCE file on the main branch

from __future__ import annotations

from typing import Tuple

import numpy as np
from zhinst import qcodes

from quantify_scheduler.backends.zhinst import helpers as zi_helpers

[docs] def monitor_acquisition_resolver( uhfqa: qcodes.UHFQA, monitor_nodes: Tuple[str, str] ) -> np.ndarray: """ Returns complex value of UHFQA Monitor nodes. This acquisition resolver corresponds to measuring a time trace of the input on the I channel (input 1) and Q channel (input 2). Parameters ---------- uhfqa monitor_nodes """ (node_i, node_q) = monitor_nodes results_i = zi_helpers.get_value(uhfqa, node_i) results_q = zi_helpers.get_value(uhfqa, node_q) return results_i + 1j * results_q
[docs] def result_acquisition_resolver( uhfqa: qcodes.UHFQA, result_nodes: Tuple[str, str] ) -> np.ndarray: """ Returns complex value of UHFQA Result nodes. Note that it needs two nodes to return a complex valued result. For optimal weights one can ignore the imaginary part. Parameters ---------- uhfqa result_nodes """ vals_node0 = zi_helpers.get_value(uhfqa, result_nodes[0]) vals_node1 = zi_helpers.get_value(uhfqa, result_nodes[1]) # the ZI API keeps the contributions of both weight functions separate # here we combine them so they correspond to the I and Q components. vals_i = vals_node0.real + vals_node0.imag vals_q = vals_node1.real + vals_node1.imag results = vals_i + 1j * vals_q return results