envelopes-qc 0.1.2

Envelops impelemented by C++ and Python.

envelopes-qc

High performance tools for building and decoding envelopes used in superconducting qubit experiments.

build

before build on linux system, install the libcerf3 and libcerf-dev_3 package in the src/libcerf folder, or self-download and install the package according to the linux distribution。

python -m build -w -v

Installation

pip install envelopes-qc

Or

1. Cloning the repository to your machine.
2. Installing envelopes using pip locally by the following command:

python setup.py build_ext --inplace

or directly building package under the folder "site-package":

pip install .

Usage

from envelopes import evc, DRAG # evc (evp) is the envelopes module implemented by C++ (Python)
import numpy as np
# create an envelope
pi_pulse = DRAG(start=0, amp=1, length=30, alpha=0.5, nonlinearity=-0.2, mixing_freq=0.1, phase=0.0, profile='gaussian') # profile can be 'gaussian' or 'cosine'
amp = np.array([1, 0.3, 0.7, 0.8])
dt = np.array([0, 50, 100, 200])
xy = evc.align(pi_pulse, dt, amp) # align the envelope to the given dt and amplitude
# The following code has equivalent effect but undermine the efficiency:
# xy = 0
# for _dt, _amp in zip(dt, amp):
#     xy += (pi_pulse >> dt) * amp

# decode the envelope
resolution = 0.5
wc = evc.WaveCache(resolution)
# t, wave = evc.decode_envelope(xy, wc) default start and end defined by the envelope will be used
t_start, wave = evc.decode_envelope(xy, wc, start=-50, end=250)
wave = np.array(wave, copy=False) # convert vector wrapper to numpy array
t_list = np.arange(t_start, t_start+len(wave)*resolution, resolution)


import matplotlib.pyplot as plt
plt.figure()
plt.plot(t_list, wave.real, '.-', label='real')
plt.plot(t_list, wave.imag, '.-', label='imag')
plt.legend()
plt.xlabel('time')
plt.ylabel('amplitude')
plt.tight_layout()
plt.show()

Supported Envelopes

See tests/supported_envelopes.ipynb.

Speed test

See tests/speed_test.ipynb.