Waveform generator for superconducting circuits.
pip install bosing
Docs are hosted on Read the Docs
Examples can be found in examples.
import matplotlib.pyplot as plt
from bosing import Barrier, Channel, Hann, Play, Stack, generate_waveforms
channels = {"xy": Channel(30e6, 2e9, 1000)}
shapes = {"hann": Hann()}
schedule = Stack(duration=500e-9).with_children(
Play(
channel_id="xy",
shape_id="hann",
amplitude=0.3,
width=100e-9,
plateau=200e-9,
),
Barrier(duration=10e-9),
)
result = generate_waveforms(channels, shapes, schedule)
w = result["xy"]
plt.plot(w[0], label="I")
plt.plot(w[1], label="Q")
plt.legend()
plt.show()
examples/schedule_stress.py (0.15 s) vs benches/naive.py (1.4 s)
CPU: AMD Ryzen 5 5600
git clone https://github.com/kahojyun/Bosing.git
cd Bosing
uv sync
uv run task makedocs # build docs
uv run task format # format rust and python code
uv run task lint # lint rust and python code
uv run task test # run cargo test and pytest
FAQs
Waveform generator for pulse sequences in quantum computing
We found that bosing demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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