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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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