# # Copyright 2021 Keysight Technologies Inc. # """ Extended Randomized Benchmarking (XRB) ====================================== """ #%% # This example illustrates how to generate extended randomized benchmarking # (:tqdoc:`XRB`\) circuits and use them to estimate the probability of a stochastic # error acting on the specified system(s) during a random gate. While this example uses # a :doc:`simulator<../../guides/run/simulator>` to execute the circuits, the same # procedure can be followed for hardware applications. #%% # Isolated XRB # ------------ # # This section illustrates how to generate :tqdoc:`XRB` circuits to characterize a pair # of qubits in isolation. Here, we are performing two-qubit :tqdoc:`XRB` which learns # the stochastic infidelity over the two-qubit Clifford gateset. #%% import trueq as tq # generate XRB circuits to characterize a pair of qubits [0, 1] # with 9 * 30 random circuits for each circuit depth [2, 4, 16] circuits = tq.make_xrb([[0, 1]], [2, 4, 16], 30) # initialize a noisy simulator with stochastic Pauli and overrotation sim = tq.Simulator().add_stochastic_pauli(px=0.02).add_overrotation(0.04) # run the circuits on the simulator to populate their results sim.run(circuits, n_shots=1000) # plot the exponential decay of the purities circuits.plot.raw() #%% # print the fit summary circuits.fit() #%% # Simultaneous XRB # ---------------- # # This section demonstrates how to generate :tqdoc:`XRB` circuits that characterize the # amount of stochastic noise while gates are applied simultaneously on a device. #%% # generate XRB circuits to simultaneously characterize a single qubit [0], # a pair of qubits [1, 2], and another single qubit [3] with 9 * 30 random circuits # for each circuit depth [2, 4, 16] circuits = tq.make_xrb([[0], [1, 2], [3]], [2, 4, 16], 30) # initialize a noisy simulator with stochastic Pauli and overrotation sim = tq.Simulator().add_stochastic_pauli(px=0.02).add_overrotation(0.04) # run the circuits on the simulator to populate their results sim.run(circuits, n_shots=1000) # plot the exponential decay of the purities circuits.plot.raw() #%% # print the fit summary circuits.fit()